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Big Data and Data Management

  • Why Is Operational Data Important for IT?
    Why Is Operational Data Important for IT? Dan Ortega - Vice President of Marketing Recorded: Apr 28 2017 4 mins
    Each day, with every customer transaction, employee task and business process, companies generate vast amounts of operational data that provides leaders and managers with insight into what is working well and what requires attention. Operational data is particularly important to those responsible for stewarding the information and technology assets of their organization.
    In this context, operational data is particularly important to IT, which is why it is so critical to understand the three different types of operational data on which IT leaders rely.
    Business operational data is all about the business processes and user experiences, which IT enables with the technology and services it provides. The reason organizations invest in technology is to improve the productivity and effectiveness of business operations. Process and user-related data evaluated over time provides a contextual picture into how effectively the technology is achieving that goal.
    IT operational data is concerned with the content of “what” technology components are operating and being used. IT operational data is important as a part of the IT planning process to understand capacity utilization and determine where scalability constraints exist, as well as to understand the cost of services provided to users and to assess security and risk considerations of the business-technology ecosystem. Within IT service management processes, operational data is critical to ensure performance and availability Service Levels Agreements (SLAs) are honored, and to drive technology cost reduction through infrastructure optimization.
    Operational data provides IT with the critical picture it needs to understand and optimize the role it plays in the context of the company.
  • Make Troubleshooting Smarter and Collaborative With Intelligence
    Make Troubleshooting Smarter and Collaborative With Intelligence David Millis, Staff Architect of IT Markets, Splunk Recorded: Apr 28 2017 61 mins
    For decades, your operations center has been trapped by “insights” from the wall of charts. Meanwhile, your operations teams are flooded with alerts that lack context and a problem is emerging. You soon find yourself sitting in war rooms, watching siloed tools, navigating event storms and running scripts to extract “relevant” logs for triage. This just does not scale.

    Splunk IT Service Intelligence (ITSI) brings a unique approach to monitoring and troubleshooting with detailed swim lanes, logical drill-downs and meaningful and contextual insights into events.

    Watch this webcast to learn how to:

    -Speed up investigations by organizing and correlating relevant metrics and events
    -Analyze real-time performance in relation to past trends
    -Identify and alert on notable events by creating predefined correlation searches
    -Navigate through event storms easily and quickly and make informed decisions to focus your attention on what matters

    Speaker: David Millis, Staff Architect of IT Markets, Splunk

    15 min - Key Concepts of Splunk ITSI
    30 min - Demo: Deep Dives, Multi-KPI Alerts and Notable Events
    15 min - Q&A
  • Co dalej z moim środowiskiem VDP?
    Co dalej z moim środowiskiem VDP? Daniel Olkowski, DellEMC Recorded: Apr 28 2017 51 mins
    VMware ogłosił koniec rozwoju rozwiązania vSphere Data Protection (VDP) do backupu / odtwarzania środowisk VMware.
    W tym kontekście pojawiają się pytania:
    •Jak długo mogę korzystać z VDP?
    •Kiedy kończy się wsparcie?
    •Czy mogę zmigrować moje środowisko VDP do Avamara (pełnej wersji VDP)?
    •Jakie są koszty?
    •Jak technicznie wygląda migracja?
    •Czy są inne opcje?
    Zapraszam na krótką, 30 minutową sesję w trakcie której przedyskutujemy
    •Szczegóły dotyczące VDP i ogłoszenia VMware
    •Możliwości dalszego użytkowania VDP
    •Techniczne i komercyjne szczegóły dotyczące migracji
  • Don’t Let Your Legacy SIEM Be Your Kryptonite
    Don’t Let Your Legacy SIEM Be Your Kryptonite Girish Bhat,Director of Security Product Marketing at Splunk, Risi Avila, Security Professional Services Consultant at Splunk Recorded: Apr 27 2017 59 mins
    It’s a bird, it’s a plane, no it’s just your legacy SIEM. Did you know your SIEM might be weakening your security powers? Your legacy SIEM could be:

    • Limiting your ability to collect, store and use security-relevant unstructured and structured data
    • Making it difficult to maintain your SIEM and requiring skilled staff to work around the clock just to keep the lights on
    • Burdening your security operations team by forcing them to chase false alarms while missing critical alerts
    • Failing to detect modern threats and putting your entire business at risk

    But have no fear, Splunk’s security experts are here to make you a security super hero again. Put on your cape and join us for this webinar to learn how Splunk can be used as a modern SIEM to solve a range of security use cases and more.

    Splunk’s security experts will share common SIEM replacement and migration scenarios and discuss how a department store, a financial services firm and a luxury retailer successfully migrated from their legacy SIEM to Splunk.

    Girish Bhat, Splunk director of security product marketing
    Risi Avila, Security professional services consultant

    10 mins – The challenges of having a legacy SIEM
    15 mins – The options to migrate
    15 mins – Customer success stories
    5 mins – Resources to guide and help you
    10mins – Q&A
  • 6 Best Practices to Leverage Data as a Competitive Advantage
    6 Best Practices to Leverage Data as a Competitive Advantage Doug Bordonaro, Chief Customer Evangelist & Lisa Kant, Product Marketing Director, ThoughtSpot Recorded: Apr 27 2017 54 mins
    Data is an organization’s most valuable asset. But capturing that value is impossible if data is locked away from the frontline business users. Join ThoughtSpot’s Chief Customer Evangelist and former Director of BI at Disney, Doug Bordonaro, for an in-depth discussion of best practices, and top pitfalls, BI teams are deploying to deliver governed self-service analytics company-wide and improve their competitive advantage.

    In this webinar we will cover:
    * Best practices for driving analytics adoption company-wide within a governed environment
    * Top analytics use cases for building your organization’s competitive advantage
    * Live demo of ThoughtSpot’s search-driven analytics
  • Pitfalls and Potholes to Avoid in Your eDiscovery Projects
    Pitfalls and Potholes to Avoid in Your eDiscovery Projects Doug Austin and Karen DeSouza, Esq. Recorded: Apr 27 2017 58 mins
    If you’ve conducted discovery for litigation, investigations or audits, you know that “Murphy’s Law” dictates that a number of “pitfalls” and “potholes” could occur that can derail your project. These issues can add considerable cost to your discovery effort through unexpected rework and also cause you to miss important deadlines or even incur the wrath of a judge for not following accepted rules and principles for discovery. This webcast* will discuss some of the most common “pitfalls” and “potholes” that you can encounter during the discovery life cycle and how to address them to keep your discovery project on track.

    Webcast Highlights

    + Avoiding the Mistake in Assuming that Discovery Begins When the Case is Filed
    + How to Proactively Address Inadvertent Privilege Productions
    + Up Front Planning to Reduce Review Costs
    + How to Avoid Getting Stuck with a Bad Production from Opposing Counsel
    + Understanding Your Data to Drive Discovery Decisions
    + Minimizing Potential ESI Spoliation Opportunities
    + Ways to Avoid Potential Data Breaches
    + How to Avoid Processing Mistakes that Can Slow You Down
    + Common Searching Mistakes and How to Avoid Them
    + Techniques to Increase Review Efficiency and Effectiveness
    + Checklist of Items to Ensure a Smooth and Accurate Production

    Presenters Include:

Doug Austin: Doug is the VP of Ops and Professional Services for CloudNine. At CloudNine, Doug manages professional services consulting projects for CloudNine clients. Doug has over 25 years of experience providing consulting, technical project management and software development services to numerous commercial and government clients.

Karen DeSouza: Karen is the Director of Review Services and a Professional Services Consultant for CloudNine. Karen is a licensed attorney in Texas and has over 15 years of legal experience. She also has a Bachelor of Science in Legal Studies - American Jurisprudence.

    * Submitted for MCLE in Texas and Florida
  • Embedded Analytics: A New Approach for Getting Value From Your Data
    Embedded Analytics: A New Approach for Getting Value From Your Data Alex Woodie, Editor at Datanami, Daniel Mintz, Chief Data Evangelist at Looker Recorded: Apr 27 2017 50 mins
    Embedded analytics is not new, but the technology for integrating charts, reports, dashboards, and self-service exploration has evolved considerably in the past 5 years. Today, companies in every industry are strengthening relations with customers and suppliers by productizing their data to make it accessible where people need it, when people need it.

    In this webinar you'll learn about:

    - The evolution of embedded analytics
    - Applications and use cases for embedded analytics
    - Whether to build or buy analytics to embed in applications
    - Technology today that is making it possible to monetize data
  • Machine Learning and Malware: What You Need to Know
    Machine Learning and Malware: What You Need to Know Robert Leong, Dir, Prod Mgmt., McAfee Labs; Raf Los, Optiv; Dr. Paulo Shakarian; Brandon Dunlap (Moderator) Recorded: Apr 27 2017 59 mins
    The seismic jolt in the Threat Landscape caused by the success of threats like ransomware combined with the geometric rise of so-called zero-day malware (i.e. malware for which no AV signature defenses exist) has given rise to all manner of innovation in the Cybersecurity industry. But a lot of what is being said and presented in the market is really confusing and that’s a problem for practitioners. One of the most-frequently-used phrases in security today is “Machine Learning” or “Math-Based” and “Artificial Intelligence” or “AI”. These phrases are entering the security conversation to describe capabilities, approaches, and strategies, but in reality, they are confusing a great many people. Which begs the question: “What on Earth does it mean?” and “How can Machine Learning be used in Enterprise Security?” Join McAfee and (ISC)2 on April 27, 2017 at 1:00PM Eastern as we clear the confusion, explore the answers to these questions and discuss what this means for dealing with threats.
  • Breaking L2 Barriers for Storage Clusters
    Breaking L2 Barriers for Storage Clusters Jacob Smith, SVP, Engagement at Packet and Ashok Rajagopalan, Head of Product at Datera Recorded: Apr 27 2017 40 mins
    Discover how to create flexible, API-focused scale-out storage that supports today’s demanding enterprise applications. Join the live webinar from Datera and Packet.net for an advanced customer case study and technical deep dive.

    Viewers will get insights on how elastic block storage is evolving in on-premises clouds, challenges with current storage solutions scaling beyond a rack, and data center alternatives for service providers and cloud builders. Learn about Datera’s unique solution to scale easily across the data center and hear from Packet.net on how they are operationalizing Datera Elastic Block Storage.

    This insightful webinar is designed for service providers and data center professionals chartered with providing a high performance, consistent and profitable elastic block storage.
  • Is Hybrid Cloud Right for You? Closing the Gap from On-Premise to Cloud
    Is Hybrid Cloud Right for You? Closing the Gap from On-Premise to Cloud Imad Birouty and Brian Wood, Directors at Teradata and Jack Phillips, CEO of IIA Recorded: Apr 27 2017 58 mins
    The worlds of cloud computing and on-premises computing continue to grow and mature in their own ways.  Cloud has built a strong reputation for flexibility and elastic scale while on-premises systems remain the mainstay for high-performance and secure business-critical computing.
    The days of "either/or" are gone.  Companies today must learn to be successful with a hybrid environment comprised of on-premises and cloud systems.  Companies do not need to cross the chasm, but to bridge the chasm to innovate, grow and gain competitive advantage.
    Join this webinar to hear from Imad Birouty, Director of Product Marketing at Teradata, who will discuss how companies are leveraging Hybrid Cloud to build an analytics everywhere mentality.
  • Overview & Demo: PowerCenter, Data Quality, Data Integration Hub 10.2 Unveiled
    Overview & Demo: PowerCenter, Data Quality, Data Integration Hub 10.2 Unveiled Ash Parikh, VP Product Marketing, Awez Syed, VP DI and Big Data, and Thomas Brence, Dir. Product Marketing, Informatica Recorded: Apr 27 2017 62 mins
    You want to transform your business, but your data is spread across a multitude of on-premise and cloud systems. How are you going to organize and manage it all? And how do you even know what data you have and if it’s clean and reliable? We have your answers.

    Discover how Informatica simplifies the journey to cloud at the latest unveiling of the world’s #1 data integration and data quality solution, including:
    - Informatica PowerCenter 10.2
    - Informatica Data Quality 10.2
    - Informatica Data Integration Hub 10.2
  • Best Practices for Reinventing Your Data Protection Strategy in the Digital Era
    Best Practices for Reinventing Your Data Protection Strategy in the Digital Era Nick Sundby, IDC, Consulting Director and Julita Kussmaul, HPE, Sr. Product Marketing Manager Recorded: Apr 27 2017 47 mins
    Are you prepared to tackle the challenges of the new digital economy? Many organizations have underinvested in backup, running legacy solutions that are unable to keep pace with business demands. An explosive growth of data, increasingly demanding SLAs, new regulations and emerging security threats such as ransomware are putting pressure on businesses to reinvent current backup systems.

    The new digital economy demands an adaptive approach to backup and recovery that addresses the dynamic nature of today’s 24x7 data center.
    Join IDC’s Nick Sundby and Hewlett Packard Enterprise’s Julita Kussmaul to discuss best practices for designing data protection to support the era of digital transformation.

    • Learn why legacy data protection solutions and store-everything practices are no longer sustainable
    • Gain key insights that will shape information protection and management in the future
    • Get a step-by-step strategy for rethinking your current data protection process
    • Learn how an adaptive analytics-driven approach to backup and recovery can help you meet the demands of your business
  • Combating Phishing Attacks: How Big Data Helps Detect Impersonators
    Combating Phishing Attacks: How Big Data Helps Detect Impersonators James Sirota, Apache Metron committer and Director of Security Solutions at Hortonworks and Simon Elliston Ball, Cybersecurit Recorded: Apr 27 2017 57 mins
    Join us to learn how big data and data science teams can help information security teams improve threat detection with machine learning and real-time streaming analytics.
  • Solutions for Energy Management and Life Cycle Assessment (LCA) in the ICT field
    Solutions for Energy Management and Life Cycle Assessment (LCA) in the ICT field Jean-Marc Alberola, Fadri Casty & Tereza Lévová, Berina Delalic Recorded: Apr 27 2017 61 mins
    ICTFOOTPRINT.eu is organising its 5th webinar on 27th April 2017, 12:00 CEST to help you manage the energy consumed by ICT and know how Life Cycle Assessment (LCA) can guide you to make your ICT more sustainable. All those who want to become more sustainable in ICT are welcome to join us in this exciting webinar.

    Jean-Marc Alberola, Group Energy Strategy leader at Airbus & Vice Chairman of ETSI ISG OEU (Industry Specification Group Operational Energy Efficiency For Users). Jean-Marc will speak about the work developed by ETSI ISG-OEU, operative KPIs that enable the monitoring of the energy management performance in data centres and ICT sites. After a short description of the global KPI DCEM, the presentation will focus on the implementation of these KPI’s in an industrial area of corporate ICT sites.

    Fadri Casty & Tereza Lévová, both from EcoInvent, , the world's most consistent & transparent Life Cycle Inventory database. The ecoinvent database provides well documented process data for thousands of products, helping you make truly informed decisions about their environmental impact. Fadri and Tereza will demonstrate the value of doing LCA on ICT equipment.

    Berina Delalic, from multEE will introduce the Monitoring & Verification Platform (MVP), a web based tool developed to calculate and store data about energy and CO2 savings resulting from implemented energy efficiency measures. Having in mind central role of ICT especially in the commercial sector, some methods are developed for improving ICT’s energy efficiency, and therefore achieving CO2 emission reduction. The presentation will show how MVP can be used for measuring results from the activities that enable more efficient use of energy for ICT in commercial buildings.

    The webinar will be moderated by Silvana Muscella (Project Coordinator of ICTFOOTPRINT.eu and CEO of Trust-IT Services) who has broad experience in stimulating topics in the ICT sector.
  • Entrez dans l'analytique en temps réel sur Hadoop grâce à Tableau et Hortonworks
    Entrez dans l'analytique en temps réel sur Hadoop grâce à Tableau et Hortonworks Matthieu Lamairesse, Hortonworks; Nicolas Lerose, Tableau Recorded: Apr 27 2017 61 mins
    Vous pensez qu’Hive rime avec batch et latence ? Vous pensez devoir systématiquement extraire vos données de votre datalake pour pouvoir les analyser avec un outil de BI agile ?

    Alors ce webinar est fait pour vous !
    Plongez avec nous dans le monde de l’analyse interactive sur Hadoop
    Nous couvrirons :

    • Les principales fonctionnalités de Hortonworks Data Platform et Tableau.
    • Où Tableau s'intègre à la plate-forme de données Hortonworks dans le cadre d'une architecture de données moderne
    • Comment utiliser Tableau avec Hortonworks pour l'exploration et la visualisation de données lors d’une démonstration à couper le souffle.
  • Using Caching in Microservices Architectures: Session I
    Using Caching in Microservices Architectures: Session I Jagdish Mirani is a Product Marketing Manager in charge of Pivotal’s in-memory products Recorded: Apr 26 2017 54 mins
    In this 60 minute webinar, we will cover the key areas of consideration for data layer decisions in a microservices architecture, and how a caching layer, satisfies these requirements. You’ll walk away from this webinar with a better understanding of the following concepts:

    - How microservices are easy to scale up and down, so both the service layer and the data layer need to support this elasticity.
    - Why microservices simplify and accelerate the software delivery lifecycle by splitting up effort into smaller isolated pieces that autonomous teams can work on independently. Event-driven systems promote autonomy.
    - Where microservices can be distributed across availability zones and data centers for addressing performance and availability requirements. Similarly, the data layer should support this distribution of workload.
    - How microservices can be part of an evolution that includes your legacy applications. Similarly, the data layer must accommodate this graceful on-ramp to microservices.
  • Why the BI & Big Data Gap is Smaller Than it Seems
    Why the BI & Big Data Gap is Smaller Than it Seems Surya Mukherjee, Senior Analyst at OVUM, Dave Mariani, Co-founder & CEO, AtScale Recorded: Apr 26 2017 63 mins
    How do you bridge the gap between high expectations of entrenched BI users and the rapidly changing big data landscape? Diverse data types are now mainstream in every organization and analytics are a ubiquitous enterprise priority. Many companies struggle with reconciling the investment of proven BI with the power of modern big data lakes. But the solution is more obvious than you think.

    Join this session to learn from Surya Mukherjee of OVUM as he shares:

    ● How to leverage your SQL / OLAP / BI investments together with big data for immediate value
    ● What to do and what to avoid for success with BI on Big Data (with real-life customer stories)

    SURYA Mukherjee is a senior analyst for Ovum’s Business Intelligence and Information Management team, responsible for analysis of enterprises’ business intelligence technology investment priorities, market forecast models, and product and vendor evaluations. Based in London, he is a thought leader and keynote speaker at events globally. Prior to Ovum, Surya worked with Deloitte Touche Tohmatsu and Evalueserve, earning an MBA in finance and bachelor’s in engineering, specializing in Electronics.

    DAVE Mariani, co-founder and CEO, started AtScale based on his many personal experiences building Business Intelligence solutions on Hadoop at companies like Yahoo! and Klout. As VP of Business Analytics at Yahoo!, he managed data pipelines and analytics ingesting 20TBs of data per day across multiple 4,000 node Hadoop clusters. At Klout, he created the world’s largest data warehouses including a petabyte Hive warehouse. After struggling with BI on big data existing technologies he decided it was time build what he couldn’t buy. As a BI guy who believes in and has been a hands-on with Big Data for over a decade, Dave has walked in his customers’ shoes. Dave started his journey with an Economics degree from UCLA.
  • How Customers are Optimizing their EDW for Fast, Secure, and Effective Insights
    How Customers are Optimizing their EDW for Fast, Secure, and Effective Insights Paige Roberts, Big Data Product Manager, Syncsort Wei Wang, Senior Director, Product Marketing, Hortonworks Recorded: Apr 26 2017 46 mins
    Hortonwork’s Hadoop Powered EDW (Enterprise Data Warehouse) Optimization Solution with Syncsort DMX-h enables organizations to liberate data from across the enterprise, quickly create and populate the data lake, and deliver actionable insights.

    Customer case studies across a variety of industries will bring to life how organizations are using this solution to gain bigger insights from their enterprise data – securely and cost-effectively – with faster time to time value.

    Join our webcast to learn how:

    - Lower cost storage for EDW Data
    - Lower cost processing of non-critical loads
    - Fast BI of full data set
  • How Scale-Out Storage Enables the Next Frontier of Life Sciences Breakthroughs
    How Scale-Out Storage Enables the Next Frontier of Life Sciences Breakthroughs Joel Groen & Dave Kaminsky Recorded: Apr 26 2017 17 mins
    Workflows in life sciences and bioinformatics are characterized by massive volumes of machine-generated file data that is pipelined into downstream processes for analysis. With today’s sequencer technology, most experts agree that about 100 GB of data is generated for each human genome that is sequenced.

    With the Earth’s population predicted to eclipse 8 billion people by 2025, some researchers believe that Life Sciences and Genomics in particular will soon become the single largest producer of new data across all media types — outpacing today’s leaders like YouTube, Twitter, and astronomical research.

    Legacy file storage fails to provide researchers with acceptable performance and cost effectiveness at petabyte scale, especially with the wide mix of file sizes that characterizes modern research workflows.

    But it’s not all bad news.

    Balancing researcher, IT, and executive team concerns, watch this video case study about the Department of Embryology at the Carnegie Institution for Science, and see why they turned to Qumulo’s modern scale-out storage to deliver the performance, scalability, and simplicity needed to keep pace with evolving research data requirements.
  • Best key practices for GDPR and utilizing IncMan™ Incident Response platform
    Best key practices for GDPR and utilizing IncMan™ Incident Response platform Mike Fowler, Vice President, Professional Services and Steve Ditmore, Senior Sales Engineer for DFLabs Recorded: Apr 26 2017 34 mins
    The GDPR will apply in all EU member states in May 2018, organizations and businesses that are data owners and/or dealing with data belonging to EU citizens have the responsibility to ensure their processing abides by new data protection law and processors must themselves abide by rules to maintain records of their processing activities. If organizations and businesses are involved in a data breach, they are far more liable under GDPR than they were under the Data Protection Act.

    Complying with the new regulations requires operating to high standards of data security and protection. If suffering a data breach that puts the rights and freedoms of individuals at risk, organizations must notify the people affected and the data protection authority (Information Commissioner's Office (ICO) in the UK) within 72 hours of becoming aware of it. Data breaches occur every day - and the EU have just increased the financial liability and consequences of inadequate security.

    Hear from Mike Fowler, author of the popular white paper: Automation as a Force Multiplier in Cyber Incident Response. Mike will provide insight into how best to leverage automation to provide incident response and reporting consistency for GDPR.

    Steve Ditmore will present IncMan™ – Security Automation and Orchestration features covering:

    •Installation and set-up is measured in hours rather than days or weeks without the need for expensive professional services support.
    •Review steps involved in a mitigating and controlling a data breach.
    •Automation of menial enrichment activities, so incident responders can determine/contain and mitigate breaches more efficiently and effectively.
    •Enhanced visibility creating a layered approach to information gathering.
    •Incident management including response prioritization.
    •How incident and notification workflows are automatically assigned to an incident.
  • Using 3D, Virtual Reality and Social Virtual Worlds for Data Visualisation
    Using 3D, Virtual Reality and Social Virtual Worlds for Data Visualisation David Burden - CEO, Daden Limited, An Immersive Learning and Visualisation Company Recorded: Apr 26 2017 44 mins
    This presentation will look at the new opportunities being opened up for the visualisation of data within both personal and collaborative 3D spaces, delivered to mobile, browser, desktop, virtual reality and social virtual world/social virtual reality environments. The pros and cons of both 3D and VR environments for the creation and sharing of data visualisations will be considered, tools which let you do dataviz in 3D and VR today presented, and future development pathways discussed.
  • Open Source Cassandra: Lessons Learned from Supporting 2,000 Clusters
    Open Source Cassandra: Lessons Learned from Supporting 2,000 Clusters Brooke Thorley, SVP Technical Operations Recorded: Apr 25 2017 60 mins
    Learn the tips and tricks from the field you need to ensure application success on Cassandra

    With almost 10 million node hours of operational experience running Cassandra, and currently managing and supporting hundreds of clusters and thousands of nodes globally for a diverse range of clients, Instaclustr has seen it all.

    Our 45 minute live webinar will provide you with vital tips and "lessons learned" to ensure your cluster runs smoothly.

    What you’ll discover:
    -The most common operational problems in Cassandra, and how to solve them.
    -How to diagnose and resolve unexplained performance problems
    -How to design your cluster to maximize availability
    -How to monitor for early warning signs
    -Expert tips and tricks from the field
  • Could Your Use of Windows Backup be Opening the Door to Hackers?
    Could Your Use of Windows Backup be Opening the Door to Hackers? Joe Noonan, VP of Product Marketing, Unitrends Recorded: Apr 25 2017 48 mins
    The go-to choice for IT pros to secure their data was Windows-based backup. But with all the malware and ransomware designed to attack Windows, many are trusting their backups to a hardened, purpose-built Linux appliance. Are you?

    Unitrends increases uptime and confidence in a world in which IT professionals must do more with less. Unitrends leverages high-availability hardware and software engineering, cloud economics, enterprise power with consumer-grade design, and customer-obsessed support to natively provide all-in-one enterprise backup and continuity. The result is a “one throat to choke” set of offerings that allow our customers to focus on their business rather than backup.

    Learn more at www.unitrends.com; follow us on Twitter @Unitrends
  • Five Ways to Transform Your IT With Analytics and Machine Learning
    Five Ways to Transform Your IT With Analytics and Machine Learning Priya Balakrishnan, Director, Solutions Marketing at Splunk; Alok Bhide, Director, Product Management at Splunk Recorded: Apr 25 2017 69 mins
    The status quo of old monitoring solutions and approaches can't handle today's complex, highly distributed service-oriented architectures. We’ve all tried implementing solutions in the past, expecting that they’d offer more visibility and control. But eventually all we got was just one more tool to maintain that didn't provide much value.

    Splunk IT Service Intelligence (ITSI) solves this problem. The solution delivers an advanced data-centric approach to service monitoring driven by machine learning and analytics—taking operations and service intelligence to the next level.

    Join us in this webinar for a live demo to see how you can:
    - Gain service context by combining event and performance data
    - Get the big picture of your environment to streamline operations
    - Accelerate root-cause analysis and get ahead of customer-impacting outages
    - Prioritize incident investigation and reduce time-to-resolution with events analytics
    - Understand how analytics and machine learning can enhance service intelligence

    Featured Speakers:
    Priya Balakrishnan, Director, Solutions Marketing at Splunk
    Alok Bhide, Director, Product Management at Splunk
  • Do Insurers Spend Too Much Time Understanding Data vs. Finding Value In It?
    Do Insurers Spend Too Much Time Understanding Data vs. Finding Value In It? Cindy Maike, Hortonworks, Monique Hesseling, SynerScope, Pieter Stolk, SynerScope Recorded: Apr 25 2017 57 mins
    During this webinar you will learn how to:

    *Spend little or no time on data hygiene and data transformation
    *Make data accessible across the enterprise through data usage and collaboration
    *Quickly identify what new open data or existing data is most valuable for your risk assessments
    *Leverage deep learning on the underwriting and claims processes for a positive impact to your combined ratio
  • Cloud Data Warehouse with PowerCenter and Amazon Redshift – Deep Dive & Demo
    Cloud Data Warehouse with PowerCenter and Amazon Redshift – Deep Dive & Demo Meera Srinivasan, Prateek Shrivastava, Andrew McIntyre, Product Management May 2 2017 3:00 pm UTC 60 mins
    In this technical session we will discuss the reasons many customers are extending PowerCenter to support cloud data warehouses on AWS with Amazon Redshift and review common patterns for Amazon Redshift adoption. We will overview the Amazon Redshift architecture and discuss available options from Informatica for extending PowerCenter to support Amazon Redshift. We will share details about using prebuilt Informatica connectors for Amazon Redshift and other AWS services such as Amazon S3, and overview advanced scaling features such as grid, partitioning and pushdown optimization.

    Key webinar learnings:
    • AWS journey and Amazon Redshift: Key benefits and capabilities.
    • Key use cases for extending PowerCenter with Amazon Redshift.
    • Extending with PowerCenter Redshift connector vs extending with Informatica Cloud Redshift connector.
    • Scalability features like grid, partioning and pushdown optimization to maximize the power of Amazon Redshift
    • AWS deployment options: Single-click deployment of PowerCenter on AWS EC2 and Informatica Cloud ‘Pay as You Go’ via AWS Marketplace
    • Demos of key use cases
  • The New IT Operating Model: Why an Architect's Role is Key to Agile & DevOps
    The New IT Operating Model: Why an Architect's Role is Key to Agile & DevOps Richard Sey, Head of Development Operations (DevOps), Siemens Energy Management; Mark Daly, Client Architect, MuleSoft May 2 2017 3:00 pm UTC 60 mins
    With their unique position at the centre of an organization, Architects can play a pivotal role to usher digital evolution and transformation in-line with business and IT objectives, including the adoption of Agile, DevOps and other disruptive paradigms.

    Join Richard Sey, Head of Development Operations (DevOps), Siemens Energy Management, and Mark Daly, Client Architect, MuleSoft, on January 18 at 10am (GMT) for a live webinar as they look at the key role of the Architect in achieving the new IT Operating model. It will cover:

    - A working example from Siemens Energy Management on how they have realised the new IT Operating Model from a business and Architect's perspective to drive operational efficiency, cutting development time by half
    - A view of Enterprise Architecture and DevOps from a leader in the field
    - What an organization needs to support delivery of the new IT Operating Model, including the creation of a Centre for Enablement (C4E), which has reduced dependency on Central IT in the Lines of Business at Siemens by 25%
  • Purpose-built In-Memory NoSQL Database for IoT – GridDB
    Purpose-built In-Memory NoSQL Database for IoT – GridDB Basavaraj Soppannavar, Sr. Strategist IoT, Toshiba America Research Inc. May 3 2017 5:00 pm UTC 60 mins
    Toshiba's GridDB is an open source specialized data store purpose-built for handling enormous amounts of data generated by the Internet of Things (IoT). GridDB offers in-memory processing to boost performance, time-series functionalities for IoT data, excellent scale-out on commodity hardware for increasing data needs and great reliability for mission-critical applications.

    Toshiba has been building large scale IoT projects even before IoT was known as IoT. GridDB was conceived at Toshiba in 2013 to solve growing data needs and time-series data related problems that its customers faced. Since 2014 Toshiba’s customers in Japan spanning industries such as utilities, manufacturing, building management etc. have been harnessing the power of GridDB.

    Join us to know more about:
    1. Properties of IoT data and database requirements for handling it
    2. Overview of GridDB
    3. Technical details of GridDB including data models, performance, scalability, and reliability
    4. Real world IoT use cases powered by GridDB
    5. Programming Demo - modeling sample Wind Mill farm data using GridDB
  • Accelerate Business Outcomes With A Connected Data Strategy
    Accelerate Business Outcomes With A Connected Data Strategy Noel Yuhanna, Forrester, Piet Loubser and Wei Wang, Hortonworks May 3 2017 5:30 pm UTC 60 mins
    Join experts from Forrester and Hortonworks to learn how a next-gen connected data architecture can help accelerate time to value for your big data initiatives. On this webinar:-

    - Get an overview of the Big Data Fabric and results from recent research
    - Learn about connected data architecture with key customer use cases

    All registrants will get a copy of the on-demand recording/ slides
  • The Age of the Digital Insurance Customer and Importance of the Analytical 360
    The Age of the Digital Insurance Customer and Importance of the Analytical 360 Karen Pauli, Strategy Meets Action, Bill Whittemore - Kevin Claybon at Clarity Insights, Cindy Maike, Hortonworks May 4 2017 5:00 pm UTC 60 mins
    Every insurance company regardless of line of business is focused on enabling the digital customer experience with the goal of enhanced profitability, lowering costs and creating stronger customer loyalty. However, many are struggling to achieve this goal challenged a history policy and/or product based business models. Additionally, many continue to use a traditional MDM based approach to solve the customer data. During this roundtable-based webinar we will discuss how to look at your customer operational data, big data and third-party customer data differently. The panel will discuss the differences between an analytical approach vs. an operational approach; how best to account for the differences in dynamic vs. static customer data; and what approaches have been most successful in the insurance industry.


    Karen Pauli, Principal at Strategy Meets Action
    Bill Whittemore, Associate Partner – Insurance and Financial Services at Clarity Insights
    Kevin Claybon Principal Consultant at Clarity Insights
    Cindy Maike, GM of Insurance Solutions at Hortonworks.
  • Deep Learning on Apache® Spark™: Workflows and Best Practices
    Deep Learning on Apache® Spark™: Workflows and Best Practices Tim Hunter and Jules S. Damji May 4 2017 5:00 pm UTC 45 mins
    The combination of Deep Learning with Apache Spark has the potential for tremendous impact in many sectors of the industry. This webinar, based on the experience gained in assisting customers with the Databricks Virtual Analytics Platform, will present some best practices for building deep learning pipelines with Spark.

    Rather than comparing deep learning systems or specific optimizations, this webinar will focus on issues that are common to deep learning frameworks when running on a Spark cluster, including:

    * optimizing cluster setup;
    * configuring the cluster;
    * ingesting data; and
    * monitoring long-running jobs.

    We will demonstrate the techniques we cover using Google’s popular TensorFlow library. More specifically, we will cover typical issues users encounter when integrating deep learning libraries with Spark clusters.

    Clusters can be configured to avoid task conflicts on GPUs and to allow using multiple GPUs per worker. Setting up pipelines for efficient data ingest improves job throughput, and monitoring facilitates both the work of configuration and the stability of deep learning jobs.
  • Analytics Meets Machine Learning: Next Steps to Data-Driven Decisions
    Analytics Meets Machine Learning: Next Steps to Data-Driven Decisions Doug Henschen, VP and Principal Analyst, Constellation Research, Inc and Jeff Healey, Dir of Product Marketing, HPE Vertica May 4 2017 5:00 pm UTC 60 mins
    Artificial intelligence (A.I.) is the talk of the tech industry this year, but nine times out of ten what's really under the hood is machine learning. What's behind this new generation of “predictive” and "smart" analytics and why are we hearing about it now?

    Join us for this webcast as we explore the emergence (or reemergence) of machine learning and "A.I.," and how data-management practices are evolving to keep up with the new speed and scale of business through continuous, streaming applications and real-time predictive capabilities.

    What You Will Learn:
    • How analytics are evolving from descriptive analytics to predictive and prescriptive analytics.
    • Why data, compute capacity, analytic prowess and development time are crucial to machine learning success.
    • Why micro-services and APIs will be crucial enablers of embedded analytics and next-generation smart apps.
    • How leading firms are overcoming data science talent shortages through adoption of new technology and organizational structures.
  • How Cylance Prevents Ransomware Attacks
    How Cylance Prevents Ransomware Attacks Brian Robison, Senior Director, Technical Marketing at Cylance® May 4 2017 6:00 pm UTC 60 mins
    Many of our customers sought out Cylance because it is highly effective in preventing ransomware attacks. We have learned firsthand how ransomware is affecting organizations of all sizes, and across all industries. In this live demonstration, Brian Robison, Senior Director, Technical Marketing at Cylance® will show how ransomware works. He will launch several attacks on unprotected machines to deliver a real-world view into how ransomware compromises systems, and how Cylance prevents ransomware attacks.

    Brian will provide a live demonstration of CylancePROTECT® blocking attacks, and will discuss:

    •Different ransomware types
    •Delivery methods, including drive-by downloads and fileless malware
    •Why launching attacks is cheap and easy with ransomware-as-a service
    •How Cylance prevents both file-level and disk-level encryption
  • Can Business Process Management and Master Data Management work together?
    Can Business Process Management and Master Data Management work together? Featuring Guest Speaker Ramesh Dontha May 5 2017 3:30 pm UTC 45 mins
    Master Data Management (MDM) and Business Process Management (BPM) are two significant investments that enterprises usually undertake to realize tangible business benefits by streamlining business processes and leveraging data as an asset. Wouldn't it be great if both these programs can align on people (stakeholders), processes, and technologies so MDM-enabled processes become simpler? Yes, it is possible by focusing on Data Governance and stewardship for the benefit of MDM and BPM. This webinar will cover basic aspects of MDM and BPM, potential conflicts in implementing both, and identify possible solutions to align BPM and MDM. The webinar will also cover how data governance and stewardship can play a pivotal role in facilitating the implementation of BPM and MDM.

    Webinar Contents
    - Overview of Business Process Management (BPM)
    - Overview of Master Data Management (MDM)
    - Potential conflicts in BPM and MDM implementation with respect to
    people, processes, and technologies
    - Options for aligning BPM and MDM
    - Role of Data Governance in aligning BPM and MDM
  • Power BI Data Analytics and Visualization
    Power BI Data Analytics and Visualization Priyanka Mane, Technology Consultant at Saviant Consulting May 8 2017 8:00 am UTC 45 mins
    Join this webinar to learn:

    1. What is Power BI?
    a. More power to Business Inteligence

    2. Why Power BI?
    a. Analytics
    b. Visualization

    3. How?
    a. Which data sources we can connect and analyse with Power BI?
    b. How to connect those data sources to Power BI?
    c. What is the role of R as a data source?
    d. How to visualise and Analyse?
    i. Design skills
    ii. Tips and tricks
    iii. Analytics patterns
    1. Custom visuals
    2. R Custom visuals (Predictive Analytics)

    4. What about Backend Management?
    a. Excel / Azure SQL / Azure Storage or Other
    b. Custom Tables / Columns / Measures
    i. What / Why / How?

    5. Power BI Updates
    a.Monthly Updates
    b. Power BI Community for queries and request/issues updates
    i. How to use this?
  • Production Spark Series Part 2: Connecting Your Code to Spark Internals
    Production Spark Series Part 2: Connecting Your Code to Spark Internals Sean Suchter, CTO/Co-Founder, Pepperdata May 9 2017 6:00 pm UTC 60 mins
    Spark is a dynamic execution engine that can take relatively simple Scala code and create complex and optimized execution plans. In this talk, we will describe how user code translates into Spark drivers, executors, stages, tasks, transformations, and shuffles. We will describe how this is critical to the design of Spark and how this tight interplay allows very efficient execution. Users and operators who are aware of the concepts will become more effective at their interactions with Spark.
  • 3 Ways to Build a Data-Driven Business
    3 Ways to Build a Data-Driven Business Snehal Antani, CTO, Splunk Inc. May 10 2017 1:00 am UTC 60 mins
    This video, presented by Splunk's CTO Snehal Antani, discusses how data is leveraged to solve critical problems, improve efficiencies, and optimize security in real time. Attend to learn:

    • How to successfully implement a data-focused approach to ensuring cybersecurity across departments
    • How to reduce organizational risk, while balancing emerging digital trends and directions that are catalysts for disruption
    • How continuous insights brings data to the fingertips of key stakeholders, shifting the culture from being reactive to proactive
  • Action GDPR: Understanding Your Data
    Action GDPR: Understanding Your Data Patrick Dewald, Senior Director - Data Governance. Giuseppe Mura, Solution Architect - Financial Services. May 10 2017 1:00 pm UTC 60 mins
    GDPR (General Data Protection Regulation) is just over a year away, and many organisations are still trying to understand what this new regulation means to them, their organisation and their data.

    Join us for the first in a series of webinars which focus on how organisation's can begin to action GDPR - with this first short session focusing on Understanding Your Data with Informatica Axon.

    Informatica Axon Powers Informatica's Enterprise Data Governance Solution and in the context of GDPR will help organisations show how personal data is connected and used throughout the business and make it high-quality, consistent, trustworthy and secure at all levels of the organisation.

    This session will cover:
    - Key GDPR documentation requirements, and how companies need to be able to respond & action
    - Bringing visibility of end-to-end data flows across and beyond organisational boundaries
    - Capturing GDPR policies, rule & requirements and linking back to the data concepts & processes
    - Live Demo of Informatica Axon – visualising how data is interconnected & how information flows through the business
  • Real World Deployments of the oneM2M Standard
    Real World Deployments of the oneM2M Standard Ken Figueredo, Sookhun Jeon, JaeSeung Song, David Wollman May 10 2017 3:00 pm UTC 75 mins
    As a partner in the oneM2M global IoT standards development Partnership, TIA supports its deployment around the world. oneM2M is designed as an architecture and standards platform for IoT deployments in many industry sectors including Smart Cities, Industrial Automation, Home Automation and eHealth and Telemedicine, among others.

    Now in its second published release, it is being deployed in a number of projects.

    Now in its second published release, it is being tested for resilience as an IoT standard in a number of projects. This webcast will focus on:

    • 3 projects such as Korean Smart Cities(Busan, Ilsan) and Wise-IoT which is the Joint European-Korean project.
    • In England, U.K.’s oneTRANSPORT intelligent system trial which serves four U.K. counties. This trial involves England’s highways transportation agency and two private sector sensor-network owners over a single, interoperable IoT platform powered by the oneM2M™ standard.
    • Overview of oneM2M certification(including background of the need for oneM2M certification program).
    • Introduction of Certified Product (Target service and use cases are included per each company).
    • An update from the National Institute for Science and Technology (NIST) on its IoT-enabled Smart City Framework and oneM2M smart city collaboration.

    -- Ken Figueredo, IoT Strategy Industry Advisor, InterDigital
    -- Sookhun Jeon, Telecommunications Technology Association (TTC)
    -- JaeSeung Song, Assistant Professor, Software Engineering and Security group (SESlab), Computer and Information Security Department, Sejong University
    -- Dr. David Wollman, Deputy Director, Smart Grid and Cyber-Physical Systems Program Office NIST

    To speak to TIA about oneM2M for further information, contact: Victoria Mitchell, Director, Global Standards Programs, at vmitchell@tiaonline.org.

    To learn more about oneM2M, visit: http://www.onem2m.org/
    To learn more about oneM2M certification by TTA, visit: http://www.onem2mcert.com/main/main.php
  • Data Residency: Challenges and the Need for Standards
    Data Residency: Challenges and the Need for Standards Andrew Watson, Vice President and Technical Director, OMG; Claude Baudoin, owner, cébé IT & Knowledge Management May 11 2017 2:30 pm UTC 60 mins
    As data is increasingly accessed and shared across geographic boundaries, a growing web of conflicting laws and regulations dictate where data can be transferred, stored, and shared, and how it is protected. The Object Management Group® (OMG®) and the Cloud Standards Customer Council (CSCC) recently completed a significant effort to analyze and document the challenges posed by data residency.
    Data residency issues result from the storage and movement of data and metadata across geographies and jurisdictions. Attend this webinar to learn more about data residency:

    •How it may impact users and providers of IT services (including but not limited to the cloud)
    •The complex web of laws and regulations that govern this area
    •The relevant aspects – and limitations -- of current standards and potential areas of improvement
    •How to contribute to future work
  • A Fireside Chat with IIA's New CAO, Bill Franks
    A Fireside Chat with IIA's New CAO, Bill Franks Tom Davenport, IIA Co-Founder and Advisor and Bill Franks, IIA CAO May 11 2017 4:00 pm UTC 60 mins
    Join IIA Co-Founder and Advisor Tom Davenport as he sits down with Bill Franks to discuss his new role as IIA's CAO. Hear their perspectives on the current state of analytics and how Bill plans to contribute to the success of IIA's clients as they continue to travel their analytics journeys.
  • Address Verification 5.11.0 – What’s New?
    Address Verification 5.11.0 – What’s New? Amarpal Sohi May 11 2017 4:00 pm UTC 30 mins
    •The Spring release of Address Verification is now available. Come and learn about the new capabilities available in Address Verification 5.11.0, which will add value to your organization and help you make more informed decisions. Some of the highlights include:

    •USA Enhancements
    •UK Enhancements
    •APAC Enhancements including Native Support for Macau
    •Iran – Postal Code Updates
  • AthenaHealth “Unbreaks” Health Care by Modernizing their Data Stack
    AthenaHealth “Unbreaks” Health Care by Modernizing their Data Stack Greg Joondeph-Breidbart, Data Engineer, AthenaHealth, Saqib Mustafa, Marketing, Snowflake, Nouras Haddad, Technology, Looker May 11 2017 4:00 pm UTC 60 mins
    Athenahealth is on a mission to ‘unbreak’ the US health care provider experience, and they are using data to do it. With a new Snowflake data warehouse and Looker data platform on top, data analysts at Athenahealth are delivering data to more people in their organization, and improving patient experience in the US healthcare system.

    In this webinar, you'll hear from Greg Joondeph-Breidbart, Senior Manager of Data Engineering at Athenahealth, on why they moved from legacy systems to the cloud. They now have:

    - Iterative product analytics which allow them to continually update, analyze and tweak their product without fear of adjusting their schema or redefining business logic

    - Row-level details so the people closest to the data can drill into the why behind every report and take action on any inconsistencies immediately

    - Feature-rich reporting that leverages Snowflake’s unique concurrency functionality and simplicity with the power and flexibility of Looker’s modeling layer
  • Meeting the Challenges of Big Data: Zoomdata 2.5
    Meeting the Challenges of Big Data: Zoomdata 2.5 Ian Fyfe and Ruhollah Farchtchi May 11 2017 5:00 pm UTC 60 mins
    What does it take to meet the challenges of ever growing big, fast data and modern data sources? Join us on May 11 at 10AM PST to find out!

    Zoomdata’s Senior Director of Product Marketing Ian Fyfe and CTO Ruhollah Farchtchi will present the new capabilities of Zoomdata 2.5 and how they enable speed-of-thought visual analytics on massive data stores. Ian and Ruhollah will discuss Zoomdata’s:

    - New data sharpening algorithm for large and long-running queries
    - Enhanced memory management for very large result sets
    - Drill to detail at scale capability
    - Delegated security access

    A demo featuring Zoomdata’s performance on a 10-billion row data set will follow the discussion. Register today.
  • Apache Zeppelin in the Enterprise: Build, Secure & Reuse Data Pipelines w Spark
    Apache Zeppelin in the Enterprise: Build, Secure & Reuse Data Pipelines w Spark Eric Charles, Founder at Datalayer May 15 2017 2:00 pm UTC 45 mins
    Apache Zeppelin is a great entry point for Data Scientist to explore and model Data.

    In an enterprise environment, this exploration tool can be used to assemble pipeline of notes and deploy them in a production system.

    In this webinar, you will learn how to:

    + Create functional notes corresponding to each step of the analysis.
    + Call a note from another note.
    + Pipe multiple notes together.
    + Create a deployable unit and run this unit on a remote cluster
  • Makeover Monday: improving the way we visualize data, one chart at a time
    Makeover Monday: improving the way we visualize data, one chart at a time Andy Kriebel, Head Coach at The Data School, Tableau Zen Master & Eva Murray Tableau Evangelist at EXASOL, Tableau Trainer May 15 2017 3:00 pm UTC 60 mins
    Join Andy Kriebel and Eva Murray to hear about #MakeoverMonday, the popular social data project linking hundreds of members from the global data visualization community in an effort to create better charts and more useful data stories.

    In this webinar Andy and Eva will share how Makeover Monday not only results in thousands of better data visualizations, but also helps people find their 'voice' in the community and land their dream jobs all while becoming better analysts and story tellers.

    They will also discuss the challenge for week 20, present their own makeovers, and the design and thought process that went into them.
  • IoT, Big Data & Moving from Data to Knowledge.
    IoT, Big Data & Moving from Data to Knowledge. Wael Elrifai, Sr. Director of Sales Engineering, EMEA+APAC, Pentaho a Hitachi Group Company May 16 2017 9:00 am UTC 60 mins
    This presentation will explore data gathering techniques, tools and analysis processes in the business innovation process. By way of example, the presentation will outline the stages of planning, designing, and delivering behind one of today’s most popular business innovation use cases for IoT – a predictive maintenance system. It will also reveal the different areas in which businesses gain value (and cost savings) by automating the processes of data engineering and data discovery.