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Big Data and Data Management

  • Harnessing 2017’s biggest database trends Harnessing 2017’s biggest database trends Matt Aslett, 451 Research Director for Data Platforms & Analytics; Mike Kelly Blue Medora & GM SelectStar platform Recorded: Dec 9 2016 57 mins
    Recent years have seen an explosion in the number of different platforms and approaches used to store, process and analyze data in multiple formats from multiple sources. An abundance of data platforms (relational and non-relational databases, NoSQL, NewSQL, Hadoop, database as a service, etc.) has created a complex data management landscape that relies on the integration of multiple interdependent platforms and analysis tools. This trend is expected to continue in 2017. This webinar will preview how the database market is expected to change and what database professionals can do to use these changes to their advantage.

    In this session you’ll:

    - Learn what’s driving increasing adoption trends in specific data platforms like NoSQL and Hadoop
    - See how cloud-based data platforms are being used—and who is using them
    - Discover the implications of IoT for data platforms
    - See a demo of a new database management platform designed to address these changes
  • 3 Ways to Achieve Workload Portability 3 Ways to Achieve Workload Portability Nigel Tozer, Solutions Marketing Director EMEA Recorded: Dec 9 2016 27 mins
    If you’re concerned about the challenges of vendor lock-in, and how it impacts your organisation’s ability to adopt new technologies, join this webinar in which Nigel Tozer, Commvault Solutions Marketing Director, will reveal ‘3 Ways to Achieve Workload Portability’ for application, virtual and big data workloads.

    This webinar is an expanded version of the speaker session delivered by Nigel at the Gartner Data Center, Infrastructure & Operations Management Summit in London on 29 November 2016.
  • Rapid7 InsightIDR Product Demo Rapid7 InsightIDR Product Demo Eric Sun and Pat Haley Recorded: Dec 8 2016 49 mins
    By integrating with your existing network & security stack, InsightIDR leverages user behavior analytics to correlate the millions of events your organization generates daily to the exact users and assets behind them. Along with custom included intruder traps, you'll automatically detect the top attack vectors behind breaches, including compromised credentials, malware, and phishing. Combined with a fully searchable data set and endpoint interrogation, InsightIDR directly addresses the gaps found in most of today's detection technologies, including SIEM and IPS.
  • The Value of Data Quality to American Family Insurance’s Data Governance Program The Value of Data Quality to American Family Insurance’s Data Governance Program Vinaya Thummala, Enterprise Data Quality Specialist & Sarah Moen, Information Quality Specialist at American Family Insurance Recorded: Dec 8 2016 52 mins
    In this webinar, Vinaya Thummala and Sarah Moen will share insights on the data governance program at American Family Insurance. They will discuss the value of high quality data to their program and what it has meant to their success. By leveraging Informatica Data Quality, they have been able to ensure that their data is reliable, consistent, and clean. In this webinar, you will:

    •Hear an overview of the Information Quality Management Program at American Family Insurance
    •Lean how data governance activities are supported by data quality policies, standards and processes to continuously monitor and improve the reliability of business data
    •Understand the effective use of data quality in projects: check and ensure the quality of all data, including existing data, transformed data and newly created data
    •Discover their Data Quality as a Service Model: Data quality services deployment at Enterprise level for technical expertise, shared infrastructure, and different engagement models to meet all business needs
  • The End of Proprietary Software The End of Proprietary Software Merav Yuravlivker, Co-founder and CEO, Data Society Recorded: Dec 8 2016 49 mins
    Is it worth it for companies to spend millions of dollars a year on software that can't keep up with constantly evolving open source software? What are the advantages and disadvantages to keeping enterprise licenses and how secure is open source software really?

    Join Data Society CEO, Merav Yuravlivker, as she goes over the software trends in the data science space and where big companies are headed in 2017 and beyond.

    About the speaker: Merav Yuravlivker is the Co-founder and Chief Executive Officer of Data Society. She has over 10 years of experience in instructional design, training, and teaching. Merav has helped bring new insights to businesses and move their organizations forward through implementing data analytics strategies and training. Merav manages all product development and instructional design for Data Society and heads all consulting projects related to the education sector. She is passionate about increasing data science knowledge from the executive level to the analyst level.
  • How Universities are Using Data to Transform Education How Universities are Using Data to Transform Education Hortonworks and Microsoft Recorded: Dec 8 2016 27 mins
    Student performance data is increasingly being captured as part of software-based and online classroom exercises and testing. This data can be augmented with behavioral data captured from sources such as social media, student-professor meeting notes, blogs, student surveys, and so forth to discover new insights to improve student learning. The results transcend traditional IT departments to focus on issues like retention, research, and the delivery of content and courses through new modalities.
     
    Hortonworks is partnering with Microsoft to show you how the Hortonworks Data Platform (HDP) running on the Microsoft stack enables you to develop a “single view of a student”. 
  • Apache® Spark™ MLlib 2.x: Migrating ML Workloads to DataFrames Apache® Spark™ MLlib 2.x: Migrating ML Workloads to DataFrames Joseph K. Bradley and Jules S. Damji Recorded: Dec 8 2016 61 mins
    In the Apache® Spark™ 2.x releases, Machine Learning (ML) is focusing on DataFrame-based APIs. This webinar is aimed at helping users take full advantage of the new APIs. Topics will include migrating workloads from RDDs to DataFrames, ML persistence for saving and loading models, and the roadmap ahead.
  • CA Briefings Part 4: Step 3: Secure and Simplify Cloud Access CA Briefings Part 4: Step 3: Secure and Simplify Cloud Access Hadeel Dabbagh, Sr. Principal Product Mgr; Kathy Hickey, VP, Product Mgmt.; Brandon Dunlap (Moderator) Recorded: Dec 8 2016 60 mins
    The steps for strengthening your enterprise and increasing customer engagement has seen the rise of cloud adoption and a "bring your own app" trend in the workplace which continues to grow. IT and security leaders are hard pressed to keep up with the demands of a seamless user experience while protecting user identities across the cloud environment. On December 8, 2016 at 1:00PM Eastern, CA Technologies and (ISC)2 will examine how to leverage identity-as-a-service to secure access to cloud applications - including provisioning, onboarding and deployment, deliver a seamless user experience without compromising security and how to keep up with the pace of cloud adoption.
  • A Practical Guide: Building your BI Business Case for 2017 A Practical Guide: Building your BI Business Case for 2017 Ani Manian, Head of Product Strategy, Sisense and Philip Lima, Chief Development Officer, Mashey Recorded: Dec 8 2016 45 mins
    So you’ve decided you want to jump on the data analytics bandwagon and propel your company into the 21st century with better analytics, reporting and data visualization. But to get a BI project rolling you usually need the entire organization, or at the very least the entire department, to get on board. Since embarking on a BI initiative requires an investment of time and resources, convincing the relevant people in the company to take the leap is imperative. You’ll need to construct a solid business case, defend your budget request and prove the value BI can bring to your organization.

    In this webinar you’ll discover:

    - Why organizations need to invest in BI to begin with
    - How are organization deriving value from BI
    - How to build an internal business case for investing in BI
    - What are the intricacies of how to build a budget
    - How to drive your company to a purchasing decision
    - How to start realizing value from BI now
  • Converged Operations: Maximize the potential of Hyper-Converged Architecture Converged Operations: Maximize the potential of Hyper-Converged Architecture Eitan Segal, Global Architect, Dell EMC Recorded: Dec 8 2016 48 mins
    Hyper converged infrastructure is starting to become the new norm in the IT space as customers are seeking for a solution which will help them solve the three main challenges; cost reduction, providing agility to the business and simplify datacenter operations.

    As we all know, technology alone cannot provide the full solution to the problem, that is why a new mode of operations is the key to maximize the full potential of a technology like; Hyper Converge.

    In our session, we will discuss:
    1. The new mode of operations?
    2. What are the main benefits while adopting new team structures and new processes
    3. Where to start
  • Certified: What's New In Penetration Testing? [EMEA] Certified: What's New In Penetration Testing? [EMEA] Andrew Whitaker, Rapid7 Recorded: Dec 8 2016 51 mins
    Penetration Testing has long been used to help prevent data breaches, to understand security weaknesses on your network and to test security controls. An important and required process for many organizations, penetration testing needs to be planned for carefully.
  • Operational and Monetization Use Cases for Data and Analytics Operational and Monetization Use Cases for Data and Analytics Michael Corcoran, CMO and SVP Marketing, Information Builders Recorded: Dec 8 2016 46 mins
    Organizational Intelligence series

    This webcast will combine industry research with actual case studies to illustrate how organizations are:

    - Increasing analytic deployment to operationalize decision making and monetize data assets.
    - Expanding governance strategies to incorporate data, analytics and user requirements.
    - Finding the shortest paths to analytic ROI.

    Get ready for 2017 with relevant concepts and examples.

    Register Now.
  • Predictive APIs: What about Banking? Predictive APIs: What about Banking? Natalino Busa, Head of Applied Data Science at Teradata Recorded: Dec 8 2016 44 mins
    The best services have one thing in common: a superb customer experience. Banking services are no exception to this rule, and indeed the quest for an effortless, well informed, and personalized customer experience is one of the main goals of today's innovation in digital banking services.

    According to what Maslow has described in his "pyramid of needs", customers are seeking a more intimate and meaningful experience where banking services can actively assist the customer in performing and managing their financial life. Predictive APIs have a fundamental role in all this, as they enable a new set of customer journeys such as automatic categorization of transactions, detecting and alerting recurrent payments, pre-approving credit requests or provide better tools to fight fraud without limiting legitimate customer transactions.

    In this talk, I will focus on how to provide better banking services by using predictive APIs. I will describe the path on how to get there and the challenges of implementing predictive APIs in a strictly audited and regulated domain such as banking. Finally, I will briefly introduce a number of data science techniques to implement those customer journeys and describe how big/fast data engineering can be used to realize predictive data pipelines.

    The presentation will unfold in three parts:

    1) Define banking services: Maslow's law, modern vs traditional banking
    2) Examples predictive and personalized banking experiences
    3) Examples of data science and data engineering pipelines for banking and financial services
  • Vorstellung von Hortonworks DataFlow Vorstellung von Hortonworks DataFlow Peter Greiff, Hortonworks Recorded: Dec 8 2016 52 mins
    Lernen Sie die Funktionen von Hortonworks DataFlow (HDF) kennen und wie Sie damit leicht Ihre bestehenden Hadoop und Um-Systeme stärken und erweitern. Wir werden Ihnen die Details von Dataflow aufzeigen und erklären wie Apache NiFi, MiNiFi und Kafka zusammenspielen und gemeinsam die führende Streaming Analytics Basis schaffen.
  • JLL – An Informatica Cloud Customer Journey JLL – An Informatica Cloud Customer Journey Phil Turton, Cloud Sales Lead, Informatica UK&I Recorded: Dec 8 2016 30 mins
    Learn why global real-estate business JLL chose to roll-out Informatica Cloud across their EMEA business. What was the first need that drove the purchase? What have they learned from the experience? Where do they intend to take the implementation next? Join Andy Crow, EMEA IT Development and Delivery Director as he explains his experience working with Informatica.
  • Certified - What's New in Penetration Testing [APAC] Certified - What's New in Penetration Testing [APAC] Andrew Whitaker, Rapid7 Recorded: Dec 8 2016 51 mins
    Penetration Testing has long been used to help prevent data breaches, to understand security weaknesses on your network and to test security controls. An important and required process for many organizations, penetration testing needs to be planned for carefully.
  • How to Build a Hybrid Cloud with AWS and VMware vSphere How to Build a Hybrid Cloud with AWS and VMware vSphere Brian Cha, Solutions Architect, SoftNAS Recorded: Dec 7 2016 50 mins
    Gartner predicts hybrid clouds will be the most common cloud architecture by 2020. With AWS and VMware vSphere, companies have the ability to create a hybrid cloud architecture with ease. But what is the optimal storage architecture for a hybrid cloud? What’s the best way to build it? How do you guarantee your data will be highly-available and protected?

    This webinar will answer those questions. Specifically, we will cover:

    -Hybrid cloud architecture with AWS and vSphere
    -Use Cases: backup, disaster recovery and more
    -Demo: Learn how to replicate storage across vSphere and AWS
    -Common management interface across on-premises vSphere and AWS deployments

    **The first 100 attendees to register during the live webinar will receive a FREE $100 Amazon Web Services credit!**


    Presenters:
    Brian Cha, Solutions Architect, SoftNAS
  • Big data and Machine Learning in Healthcare – Actual experience, actual results Big data and Machine Learning in Healthcare – Actual experience, actual results Lonny Northrup, Sr. Medical Informaticist – Office of Chief Data Officer, Intermountain Healthcare Recorded: Dec 7 2016 63 mins
    Hear first hand from one of the nation’s leading healthcare providers, Intermountain Healthcare, on what is actually being accomplished with big data and machine learning (cognitive computing, artificial intelligence, deep learning, etc.) by leading healthcare providers.

    Intermountain has evaluated between 300 and 400 big data and analytic solutions and actively collaborates with the other leading healthcare providers in the United States to implement the solutions that are delivering improved healthcare outcomes and cost reductions.
  • How to Get Started with Hortonworks Data Cloud for AWS How to Get Started with Hortonworks Data Cloud for AWS Jeff Sposetti Senior Director of Product Management, Cloud & Operations Recorded: Dec 7 2016 57 mins
    Hortonworks Data Cloud for Amazon Web Services is a new product offering from Hortonworks that is delivered and sold via the AWS Marketplace. It allows you to start analyzing and processing vast amounts of data quickly. Powered by the Hortonworks Data Platform, Hortonworks Data Cloud is an easy-to-use and cost-effective solution for handling big data use cases with Apache Hadoop, Hive, and Spark.

    Join us on Dec. 7, 2016 to learn more about the product and to see a live demo by Jeff Sposetti, Senior Director of Product Management. You’ll see how to quickly deploy Apache Spark and Apache Hive clusters for processing and analyzing data in the cloud.

    The first 50 attendees will get access to $100 cloud credit for AWS!
  • BroadView Instrumentation Enabled Closed Control Loop In CORD BroadView Instrumentation Enabled Closed Control Loop In CORD Tom Tofigh, Architect, AT&T; Bhaskar Chinni, Principal PLM, Broadcom Recorded: Dec 7 2016 62 mins
    “Central Office Re-architected as a Datacenter (CORD)” is a new design of a telco central office that replaces closed and proprietary hardware with software running on commodity servers, switches, and access devices. Analytics-CORD is an environment that provides tools for applications to program or actuate target probe primitives such as Broadcom based network switches. 

    BroadView Instrumentation is a software suite that enables advanced network analytics in a platform agnostic manner. BroadView Instrumentation provides deep observability of switches and network fabric in A-CORD environment. 

    In this webinar, we will discuss CORD architecture, A-CORD framework and how BroadView Agent integrated w/ A-CORD enables closed feedback loop in service provider networks. We will further discuss how BroadView Agent supports A-CORD use cases such as network level packet trace profile, end-to-end latency computation for real-time traffic, micro-burst detection and scalable monitoring of network fabric to prevent congestion.
  • Containers: Best Practices and Data Management Services Containers: Best Practices and Data Management Services Keith Hudgins, Tech Alliances, Docker, Andrew Sullivan, Tech Marketing Engineer, NetApp, Alex McDonald, Chair SNIA-CSI Recorded: Dec 7 2016 57 mins
    Now that you have become acquainted with basic container technologies and the associated storage challenges in supporting applications running within containers in production; let’s take a deeper dive into what differentiates this technology from what you are used to with virtual machines. Containers can both complement virtual machines and also replace them as they promise the ability to scale exponentially higher. They can easily be ported from one physical server to another or to one platform—such as on-premise—to another—such as public cloud providers like Amazon AWS. In this Webcast, we’ll explore “container best practices” that discuss how to address the various challenges around networking, security and logging. We’ll also look at what types of applications more easily lend themselves to a microservice architecture versus which applications may require additional investment to refactor/re-architect to take advantage of microservices.
  • Intelligent Data Lake : Valorisez les données issues du Big Data Intelligent Data Lake : Valorisez les données issues du Big Data Edouard Guérin - Spécialiste Big Data, Informatica Dec 13 2016 10:00 am UTC 45 mins
    La digitalisation du marketing et l’émergence de nouvelles applications génèrent un flux toujours plus important de données, de toutes formes et tailles. L’exploitation de ces informations permet de mieux cibler, acquérir et satisfaire la clientèle, cependant, trop peu de directions marketing parviennent à en tirer parti.

    Le 13 décembre à 11 heures, participez à notre webinaire Intelligent Data Lake et découvrez grâce à des exemples concrets de mise en œuvre comment :
    - Visualiser le parcours client global pour identifier les programmes les plus efficaces et optimiser le mix marketing ;
    - Développer des stratégies efficaces pour mieux cibler et acquérir de nouveaux clients ;
    - Tirer profit des données issues du Big Data à travers tous les points de contact pour créer de la valeur métier.

    Informatica Intelligent Data Lake
    La solution Intelligent Data Lake d’Informatica offre la data préparation en libre-service, en combinant l’automatisation, l’intégration et la gestion de la qualité des données, aux capacités de gestion de la gouvernance et de la sécurité requises pour tirer la véritable valeur métier de tous types de données, tout en rationalisant les risques.
  • Partnerworks Office Hours: Dynamic Security & Data Governance in HDP 2.5 Partnerworks Office Hours: Dynamic Security & Data Governance in HDP 2.5 Srikanth Venkat Senior Director of Security & Sean Roberts, Partner Engineering EMEA, Hortonworks Dec 13 2016 3:00 pm UTC 90 mins
    The integration of Apache Ranger and Apache Atlas is driving the creation of a classification-based access security policies in Hadoop. The Atlas project is a data governance and metadata framework for the Hadoop platform that includes contributions from end users and vendors. The Ranger project provides central security policy administration, auditing, authorization, authentication, and data encryption for Hadoop ecosystem projects such as HDFS, Hive, HBase, Storm, Solr, Kafka,NiFi and YARN. When Atlas and Ranger are used together, system administrators can define flexible metadata tag-based security policies to protect data in real-time.

    In this month’s Partnerworks Office Hours we will discuss the Security & Governance capabilities of HDP 2.5 with integration Apache Ranger & Apache Atlas. As usual we will leave plenty of time for your questions & further discussion.

    Topics covered:

    - Classification-based Policies
    - Location-based Policies
    - Time-based Policies
    - Prohibition-based Policies
    - Hive Row Level Security & Dynamic Data Masking:
    - Broader Atlas eco-system support
  • Search-Driven Analytics for Healthcare: Improve Patient Outcomes With Data Search-Driven Analytics for Healthcare: Improve Patient Outcomes With Data Jeff Currier, Data Management & Analytics, Availity; Eric Vassian, Account Executive, ThoughtSpot Dec 13 2016 4:00 pm UTC 60 mins
    The healthcare industry produces massive volumes of data every day, and static reports with stale data aren’t sufficient for making data-driven decisions, especially when they affect patient outcomes. Join Jeff Currier, Data Management and Analytics at Availity, to learn how they are using Relational Search technology to change the way they deliver critical information to healthcare professionals across the US.
  • iSpeak™: Compliance:  Privacy Shield (Safe Harbor) Update iSpeak™: Compliance: Privacy Shield (Safe Harbor) Update Jeanne Morain, Emerald de Leeuw, Don Cox Dec 13 2016 5:00 pm UTC 30 mins
    Privacy Shield has replaced Safe Harbor as the standard for to regulate software when dealing with the European Union. Over 4000 US companies are said to be impacted. Privacy Compliance by Design is at the forefront in assisting companies with rethinking their software strategy to reduce risks to security and compliance. Join special guests Emerald de Leeuw, CEO Eurocomply and Don Cox, former CISO for this update on the latest around Privacy Shield and Implementing policies to enable security and compliance as part of your Cloud Center of Excellence.
  • IT Trends for 2017 IT Trends for 2017 Hu Yoshida, Vice President and Chief Technology Officer, Hitachi Data Systems Dec 13 2016 5:00 pm UTC 60 mins
    A recent Forbes survey shows that Digital Transformation will be the highest priority for both IT and line-of-business executives in 2017. Business outcomes will drive IT, and IT will shift its focus from infrastructure to application development and analytics. Some of the major trends for 2017 will redefine the data center and focus on a number of key technologies that will enable the transition from legacy systems to systems of innovation. Operational Technology (OT) from sensors will begin to integrate with IT, and the foundation will be established for Internet of Things (IoT) developments that are currently in the proof-of-concept stage.
  • The Most Underappreciated Element in Analytics The Most Underappreciated Element in Analytics Jim McHugh, VP & GM at Nvidia and Todd Mostak, Founder & CEO of MapD Dec 13 2016 6:00 pm UTC 60 mins
    The vast majority of reviews on analytical applications are feature driven but this misses a critical component – usability. No matter how many chart types, how many governance features or what types of row level security is offered, if the application is slow, it won’t get used properly. Join Nvidia’s Jim McHugh and MapD’s Todd Mostak to talk about why speed, and in particular speed at scale, is the defining capability for analytics in the petabyte economy. The webinar will cover current research, the latest hardware advancements (NVIDIA P100 and DGX-1), and what techniques innovative companies are using to harness the parallel processing power of Nvidia GPUs.

    Jim McHugh is vice president and general manager at NVIDIA with over 25 years of experience as a marketing and business executive with startup, mid-sized, and high-profile companies. He currently leads DGX-1, the world’s first AI supercomputer in a box. Jim focuses on building a vision of organizational success and executing strategies to deliver computing solutions that benefit from GPUs in the data center. He has a deep knowledge and understanding of business drivers, market/customer dynamics, technology-centered products, and accelerated solutions.
  • Who You Gonna Call? Arm the Service Desk to Ghost-Bust Issues Before They Occur Who You Gonna Call? Arm the Service Desk to Ghost-Bust Issues Before They Occur Chris Marsh, 451 Research; Chris Dunn, Easy Vista; & Bruce Aboudara, Scalable Software Dec 13 2016 6:00 pm UTC 60 mins
    The Service Desk is at the frontlines of a changing landscape in IT. IT is now, more than ever, required to provide 100% uptime of their services, and provide them to users anytime and anywhere – thanks in large part to the growth in new consumer apps and services accessed through mobile devices.

    To support this demand the service desk must be aware of and prepared for several key trends:

    •Mobile. More and more, users are accessing their services through their mobile devices. Powerful trends are shaping the mobile world that will impact the Service Desk. We in the service desk must adapt, but what does that mean?

    •Service Availability. Users expect their services to always be up – just like they experience with their other mobile apps and should there be an issue, they expect it to be resolved immediately. What can the Service Desk to make this dream a reality?

    •New Technologies. Prompted by this need for always-on, mobile-available services, infrastructure teams are looking toward newer technologies such as public clouds, software defined networking (SDN), and hyperconverged architectures. How does this impact the Service Desk?

    Join, Chris Marsh, lead mobility analyst at 451 research, Chris Dunn, Global Director of Product marketing for EasyVista, and Bruce Aboudara SVP at Scalable Software as they discuss the key trends the service desk need to know about as well as actions the service desk can take to capitalize on those trends.
  • The Data Revolution Will Be Televised. Storage Options for M&E The Data Revolution Will Be Televised. Storage Options for M&E Erik Weaver, Global Director, M&E Market Development & Strategy, Western Digital Dec 13 2016 7:00 pm UTC 30 mins
    The data revolution will be televised. It’s an exciting time in media & entertainment as the digitalization of film and higher densities enable new opportunities like 3D and 8K film to VR and AR. However, these changing workflows and production requirements are placing a growing demand on existing storage solutions.

    Join Erik Weaver, Global Director, M&E Market Development & Strategy at Western Digital as he discusses the 5 latest trends within media & entertainment, the challenges they present on underlying storage, and what next-generation technologies the industry is adopting in order to successfully adapt to these new media workloads - whether on-premises or in the cloud.
  • Seven disciplines to support your successful digital strategy Seven disciplines to support your successful digital strategy Nigel Fenwick, Vice President and Principal Analyst, Forrester Research Dec 13 2016 9:00 pm UTC 60 mins
    Customers increasingly embrace digital experiences and technologies, and organizations must compete for their attention and loyalty. Every business today must learn to continuously create and exploit new digital assets to simultaneously deliver new sources of customer value and increase their operational agility — transforming to a digital business.

    In this webinar, Nigel Fenwick, Vice President and Principal Analyst at Forrester Research will share results of a recent study of how retail, retail banking, manufacturing, and government organizations in North America, the UK, Germany, Benelux, and Australia prioritize various initiatives and disciplines as part of their digital strategies.

    Learn which seven disciplines correlate with many elements of success and discover how you can measure on your journey to digital transformation.
  • ASIA PACIFIC TECHNOLOGY TRENDS FOR 2017 ASIA PACIFIC TECHNOLOGY TRENDS FOR 2017 Hu Yoshida, Global CTO HDS; Russell Skingsley, APAC CTO HDS, Greg Knieriemen, Chief Digital Strategist HDS Dec 14 2016 6:00 am UTC 60 mins
    According to recent research by Forbes Insights, 42% of organizations in Asia Pacific consider themselves either advanced or leaders in terms of their digital transformation journey. The region is at a turning point. Leaders are disrupting industries and staying ahead because of their digital transformation foresight.

    Hitachi Data Systems cordially invites you to attend our webcast on Asia Pacific Technology Trends for 2017. Please join the speakers from HDS for this 1 hour webcast to learn how these technology trends enable and accelerate your organization’s digitization.

    Register to the live webcast that covers:
    • how these technology trends enable and accelerate your organization’s digitization
    • some of the findings of the Forbes Insights research, sponsored by HDS
    • how they reveal the inhibitors to successful transformation
    • why digital leaders are so far ahead of the pack

    Key trends include:
    • Transition to the Cloud
    • People and Process Impact on Productivity
    • Bridging the Bi-modal Divide
    • Centralized Data Hubs
    • IoT in Data Center
  • Por que Soluções Convergentes são uma excelente opção para os negócios Por que Soluções Convergentes são uma excelente opção para os negócios Marcel Adami, Arquiteto de Soluções Convergente, Hitachi Data Systems Dec 14 2016 4:00 pm UTC 60 mins
    Nos dias de hoje as áreas de TI procuram cada vez mais otimizar seus recursos de modo a investirem 20% na manutenção de seus legados e comprometer os demais 80% em soluções inovadoras. Além disso 40% do budget de TI pertencem as áreas de negócios.

    Para obterem bons resultados nessa difícil missão, as áreas de TI buscam cada vez mais focar seus esforços em eficiência, agilidade e acertividade. Muitas vezes encontram a resolução para este desafio na adoção de sistemas convergente que proporcionam a construção de serviços em cloud privadas ou hibridas.

    Assista a nosso webcast, a ser apresentado por nosso arquiteto de soluções, Marcel Adami, e entenda como as soluções de Convergentes e Hiperconvergentes da Hitachi Data Systems podem ajuda-los com essa missão e garantir o total controle de suas operações.

    Garanta essa oportunidade e conheça mais como a Hitachi pode ajuda-lo:

    •As vantagens funcionais das soluções convergentes.
    •A economia obtida através da adoção destes tipos de ferramentas.
    •Obtendo a agilidade que seus negócios precisam.
  • SQL and Search: Impactful Results, Manageable Implementations SQL and Search: Impactful Results, Manageable Implementations Jason Stamper 451 Research Senior Analyst; Kevin Risden Apache Lucene/Solr Committer; Hadoop and Search Tech Lead Dec 14 2016 4:00 pm UTC 60 mins
    Search engines have changed the way everyone accesses information. Apache Solr and Elasticsearch, two open source search engines built on Lucene, have enabled companies to integrate search for a variety of use cases. On the flipside, SQL has been the bedrock for analytics. Joining the power of search and SQL opens up search to users who are familiar with SQL. This combination of technologies allows companies to utilize existing SQL skills to implement innovative search that answer questions previously not possible.


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  • Informatica Enterprise Information Catalog for Data Driven Organizations Informatica Enterprise Information Catalog for Data Driven Organizations Deepa Sankar, Director Product Marketing and Gaurav Pathak, Director Product Management Dec 14 2016 4:00 pm UTC 60 mins
    Data is becoming the lifeblood of our economy, and data-driven companies are turning their data assets into revenue and profits. With diverse, dispersed across different departments, locations, systems, how do you know exactly what data you have? Enterprise Information Catalog from Informatica enables you to catalog, discover and understand all types of data using smart machine-learning algorithms and easy-to-use search and exploration. Register to today to learn more about -
    -How you can catalog and discover all types of data across the enterprise
    -Find data assets through powerful semantic search
    -Understand your data with 360 relationship views and lineage
    -Enrich data assets with business context and crowd sourced annotations
  • Do's and Don'ts of BI on Hadoop Do's and Don'ts of BI on Hadoop David Mariani, CEO of AtScale Dec 14 2016 5:00 pm UTC 60 mins
    Trying to make Hadoop work with your BI tools (Tableau, Excel, Qlik, MicroStrategy, Pentaho...etc?). Join this interactive webinar and find out how to make it work!

    In this webinar, you will learn:

    - The Pitfalls of Big Data: What matters and what's a distraction OLAP on Hadoop: The best architectural options (ROLAP, MOLAP, in-memory)
    - Data Warehouse Design: the benefits of schema on demand vs. schema on load

    About the Speaker: Dave Mariani, CEO, AtScale

    Dave Mariani ran Yahoo! data pipelines and analytics teams at the time Hadoop was born. After Yahoo!, he went on to run engineering at Klout, where he managed a 200+ node cluster and Hive Data Warehouse of over one trillion rows. He now leads AtScale Inc, helping Fortune 100 customers run their BI on Big data.
  • Object Storage for Developers, Part 3 Object Storage for Developers, Part 3 Ryan Meek, Product Manager Dec 14 2016 5:30 pm UTC 60 mins
    Join former developer and current Product Manager Ryan Meek for an informative webcast where he will take a deep dive into advanced object storage. Ryan will review protocols, metadata and data protection, with a focus on performance and high availability at petabyte scale. With live Q&A throughout, this webcast is geared towards application developers, software and storage architects.
  • Solving Critical Security Problems with Behavioral Analytics Solving Critical Security Problems with Behavioral Analytics David Swift Principal Architect at Securonix ; Eric Ogren Senior Analyst at 451 Research Dec 14 2016 6:00 pm UTC 60 mins
    Data-driven artificial intelligence and unsupervised machine learning can now answer the question that has plagued information security practitioners since day one: How do I know when something is happening in my environment that shouldn’t? This session looks at advances in behavioral analytics that address critical security problems such as insider threats, data theft, cybersecurity, and abuse of privileged access, to name a few. Featuring insights on how to use advanced analytics to detect threats that are invisible to traditional security measures.
  • Big data replication to Amazon S3 Big data replication to Amazon S3 Paul Scott-Murphy, VP Product Management Dec 14 2016 6:00 pm UTC 60 mins
    Paul Scott-Murphy, WANdisco VP of Product Management will explain the benefits of moving to the cloud and review the AWS tools available for cloud migration and hybrid cloud deployments.
  • Big Data Analytics on AWS: Getting Started with Big-Data-as-a-Service Big Data Analytics on AWS: Getting Started with Big-Data-as-a-Service Anant Chintamaneni, Vice President, Products, BlueData; Tom Phelan, Chief Architect, BlueData Dec 14 2016 6:00 pm UTC 60 mins
    So you want to use Cloudera, Hortonworks, and MapR on AWS. Or maybe Spark with Jupyter or Zeppelin; plus Kafka and Cassandra. Now you can, all from one easy-to-use interface. Best of all, it doesn't require DevOps or AWS expertise.

    In this webinar, we’ll discuss:

    -Onboarding multiple teams onto AWS, with security and cost controls in a multi-tenant architecture
    -Accelerating the creation of data pipelines, with instant clusters for Spark, Hadoop, Kafka, and Cassandra
    -Providing data scientists with choice and flexibility for their preferred Big Data frameworks, distributions, and tools
    -Running analytics using data in Amazon S3 and on-premises storage, with pre-built integration and connectors

    Don’t miss this webinar on how to quickly and easily deploy Spark, Hadoop, and more on AWS – without DevOps or AWS-specific skills.
  • Considering AWS Redshift for Your Cloud-Based Analytics? Think Again Considering AWS Redshift for Your Cloud-Based Analytics? Think Again Jake Dolezal, Practice Leader, Analytics, McKnight Consulting Group and Sanjay Baronia, Product marketing Manage, HPE Vertica Dec 14 2016 6:00 pm UTC 60 mins
    Two distinct trends are converging! Cloud is proving immensely useful in providing elastic, measurable, on-demand and self-service resources to organizations of all sizes. The uptake in 2016 has been phenomenal, continuing the biggest transformation that technology professionals will experience in their careers. Also, data-driven organizations are relying even more than before on analytical databases to load, store, and analyze volumes of data at high speed to derive timely insights.

    A benchmark study was conducted to assess query performance and concurrency impact of HPE Vertica and AWS RedShift running in the Cloud. The benchmark (expanding upon UC Berkeley’s Big Data Benchmark) simulated scenarios to answer fundamental business questions that every enterprise might encounter and ask.

    In this webinar, we will discuss the results and key takeaways of the benchmark. We will also uncover, how to achieve high-performance and scalable analytics in the cloud and augment current, on-premises platforms—in a cost-effective manner.
  • Flip the Switch to Containers Flip the Switch to Containers Martin Buhr, Google and Ashok Rajagopalan, Datera Dec 14 2016 6:00 pm UTC 60 mins
    Join Google and Datera to learn how you can reap the benefits of the cloud without losing performance as Containers become the new paradigm using Datera Elastic Fabric Storage System and Kubernetes for Container Orchestration. Register for a chance to win an Apple Watch 2.

    Containers are rapidly maturing. As container adoption continues to grow beyond stateless applications to stateful workloads such as MySQL, Kafka, Cassandra, and Couchbase, the need for persistent storage is foundational. To make business workloads adoption grow on container platforms, it is imperative to simplify persistent storage provisioning and consumption.

    In this webinar, Google Product Manager, Strategic Initiatives, Google Cloud Platform Martin Buhr joins Datera’s Head of Product Ashok Rajagopalan to discuss:

    - how stateful applications can be automated to scale
    - new storage solutions and deployment models that provide agility, and
    - flexibility - the benefits of deploying and using persistent storage

    Register today to gain key insights from our industry experts!
  • The Power of Collaboration: SAS Visual Analytics & Microsoft Office The Power of Collaboration: SAS Visual Analytics & Microsoft Office Mary Osborne, Business Visualization Practice Manager, SAS Dec 14 2016 8:00 pm UTC 60 mins
    Organizations need a way to get extremely fast insight from any-size data and share it with co-workers of varying skill sets – wherever they happen to be.

    Look no further! SAS Visual Analytics lets everyone, even those without significant analytics skills, explore and analyze data. It allows users to quickly see connections and correlations, then immediately share results via the Microsoft Office tools you use every day.

    Join us for this webinar to see:

    - How common Microsoft Office tools infused with SAS Visual Analytics capabilities can help you share analytics insight.
    - How SAS Office Analytics empowers analysts with data preparation and analytics within a familiar environment.
    - Ways to explore your data and glean insight that surpass traditional visualization and reporting.
  • How to run Hortonworks Data Cloud on Amazon Web Services How to run Hortonworks Data Cloud on Amazon Web Services Sean Roberts, Partner Solutions Engineer, Hortonworks Dec 15 2016 9:00 am UTC 60 mins
    Hortonworks Data Cloud for Amazon Web Services is a new product offering from Hortonworks that is delivered and sold via the AWS Marketplace. It allows you to start analyzing and processing vast amounts of data quickly. Powered by the Hortonworks Data Platform, Hortonworks Data Cloud is an easy-to-use and cost-effective solution for handling big data use cases with Apache Hadoop, Hive, and Spark.

    Join us on Dec. 15, 2016 to learn more about the product and to see a live demo by Sean Roberts. You’ll see how to quickly deploy Apache Spark and Apache Hive clusters for processing and analyzing data in the cloud.
  • HDC (Hortonworks Data Cloud) pour Amazon Web Services HDC (Hortonworks Data Cloud) pour Amazon Web Services Vitor Lundberg, Solution Engineer chez Hortonworks Dec 15 2016 11:00 am UTC 60 mins
    Venez découvrir la dernière offre de Cloud de Hortonworks : HDC (Hortonworks Data Cloud) pour Amazon Web Services (Disponible sur la Marketplace AWS).  
    Pensée pour la simplicité et l'efficacité économique, Horton Data Cloud combine la puissance de la plateforme Hadoop HDP et de la flexibilité du Cloud.  En quelques click, montez une plateforme en mesure de répondre a vos besoin analytique Big Data.

    Rejoignez nous sur ce webinar d'une heure pour découvrir comment ce nouveau service peut vous permettre de profiter de la puissance des outils analytics tel que Spark ou Hive sans se soucier de la complexité de mise en oeuvre d'un cluster de calcul distribué.
  • ¿Está usted preparado para el Reglamento General de Protección de Datos (GDPR)? ¿Está usted preparado para el Reglamento General de Protección de Datos (GDPR)? Cesar Funes - Commvault Technical Partner Enablement Manager Dec 15 2016 11:30 am UTC 60 mins
    Cómo cumplir con los requerimientos de su negocio en materia de regulación.

    El Reglamento General de Protección de Datos europeo es ya una realidad y las empresas habrán de estar en conformidad con ella antes del 26 de mayo de 2018. Aunque no parezca una fecha inminente, la complejidad que conlleva abordar este cambio hace que sea más importante que nunca que las organizaciones entiendan los requisitos de la normativa y cómo preparar su negocio para ello.

    Estas regulaciones van a requerir que mire con otra perspectiva la forma en que usted gestiona sus datos y su información, especialmente dónde almacena sus datos – en la nube o en sus propias instalaciones – y el nivel de conocimiento y control que debe tener sobre ellos.

    Acompáñenos en este webinar y conozca cómo Commvault puede ayudarle a mitigar los riesgos asociados a la normativa, y a convertirlos en una oportunidad de dar más valor a sus usuarios y clientes.