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Big Data and Data Management

  • Databases: The Neglected Technology in DevOps
    Databases: The Neglected Technology in DevOps Sanjay Challa - Head of Product Marketing. Datical Recorded: Aug 15 2018 62 mins
    Much has been written about software delivery in DevOps, with much less focus on the database. However, DevOps can—and should—play an equally critical role in both software and database development. In this webinar, we examine how DevOps can be used for database development and delivery, factors influencing DevOps’ role in database delivery, and some of the technologies designed to help.


  • Artificial Intelligence & Employee Security: Greasing the Wheels of Productivity
    Artificial Intelligence & Employee Security: Greasing the Wheels of Productivity Ehab Samy, VP Product Management, Plurilock Recorded: Aug 15 2018 32 mins
    Traditional security and authentication methods are designed to put up stumbling blocks for your employees, challenging them at several points throughout their workday to identify themselves. To do this they must enter, remember, and frequently change passwords, and in the expanding world of two- or multi-factor authentication the enterprise seeks greater security at the further expense of productivity. But traditional passwords and other authentication methods can be compromised, so the impact to your user processes does not always deliver proportional security.

    Artificial intelligence and biometrics can change the authentication game, supporting enhanced security by automatically identifying employee identity without impacting workflows and user processes. Join Ehab Samy, VP Product Management, to learn about applications of biometrics and Artificial Intelligence that smooth your employees’ path to completing any task at work.
  • Peek Under the Hood of H2O Driverless AI with Auto Doc
    Peek Under the Hood of H2O Driverless AI with Auto Doc Megan Kurka, Vinod Iyengar Recorded: Aug 15 2018 60 mins
    H2O Driverless AI is H2O.ai's flagship platform for automatic machine learning. It fully automates the data science workflow including some of the most challenging tasks in applied data science such as feature engineering, model tuning, model optimization, and model deployment. Driverless AI turns Kaggle Grandmaster recipes into a full functioning platform that delivers "an expert data scientist in a box" from training to deployment.

    Driverless AI with Auto Doc is the next logical step of the data science workflow by taking the final step of automatically documenting and explaining the processes used by the platform. Auto Doc frees up the user from the time consuming task of documenting and summarizing their workflow while building machine learning models. The resulting documentation provides users with insight into machine learning workflow created by Driverless AI including details about the data used, the validation schema selected, model and feature tuning, and the final model created. With this capability in Driverless AI, users can focus on model insights and results.
  • Speed to Value: How To Justify Your Big Data Investments
    Speed to Value: How To Justify Your Big Data Investments Amit Duvedi, VP of Business Value Engineering, Qubole Recorded: Aug 15 2018 55 mins
    Every investment in big data, whether people or technology, should be measured by how quickly it generates value for the business. While big data uses cases may vary, the need to prioritize investments, control costs and measure impact is universal.

    Like most CTOs, CIOs, VPs or Directors overseeing big data projects, you’re likely somewhere in between putting out fires and demonstrating how your big data projects are driving growth. If your focus, for example, is improving your users’ experience you need to be able to demonstrate a clear ROI in the form of higher customer retention or lifetime value.

    However, in addition to driving growth, you’re also responsible for managing costs. Here’s the rub-- if you’re successful in driving growth, your big data costs will only go up. That’s the consequence of successful big data use cases. How then, when you have success, do you limit and manage rising cloud costs?

    In this webinar, you’ll learn:

    - How to measure business value from big data use cases
    - Typical bottlenecks that delay time to value and ways to address them
    ​- Strategies for managing rising cloud and people costs
    - How best-in-class companies are generating value from big data use cases while also managing their costs
  • Verizon Threat Research Advisory Center - Data Breach Digest 2018
    Verizon Threat Research Advisory Center - Data Breach Digest 2018 John Grim and David Kennedy, Verizon Enterprise Solutions Recorded: Aug 15 2018 75 mins
    Fellow Cybersecurity Practitioner:

    Join us—the Verizon Threat Research Advisory Center – for our Monthly Intelligence Briefing (MIB) to discuss the current cybersecurity threat landscape.

    This month's theme: Data Breach Digest Highlights

    Our Verizon Threat Research Advisory Center presenters will be:

    •John Grim, Senior Manager, Investigative Response – Americas
    •David Kennedy, Managing Principal, Open Source Intelligence

    For this month's theme: 'Data Breach Digest Highlights', we'll feature John Grim, Senior Manager, Investigative Response – Americas, who'll highlight the latest in terms of data breaches.

    Specifically, John will discuss scenarios in this year's Data Breach Digest, reveal how these scenarios match up against the 2018 Data Breach Investigations Report incident classification patterns, and in doing so, provide detection and validation, response and investigation, and mitigation and prevention countermeasures from an incident response and cybersecurity perspective.

    We'll then see what's happening with the IR Pulse and our caseload trends, followed by:

    •Current Intelligence
    •Attacks & Threat Indicators
    •Latest Malware Trends
    •Significant Vulnerabilities
  • Evaluating a modern BI platform
    Evaluating a modern BI platform Josh Parenteau, Market Intelligence Director & Michael Hetrick, Senior Product Marketing Manager, Tableau Recorded: Aug 15 2018 52 mins
    Satisfying the self-service needs of the business while maintaining governance may seem like an either/or choice. It’s not. Learn the core attributes that IT must consider when evaluating and selecting a modern analytics platform.

    Join this live webinar to learn:

    - Why moving from Traditional to Modern analytics is needed in today’s business landscape
    - What to consider when evaluating Modern Business Intelligence and Analytics platforms
    - How shifting to enterprise self-service analytics tools empowers both the business and IT
  • AppDynamics + Cisco: Driving Transformation Across the Stack
    AppDynamics + Cisco: Driving Transformation Across the Stack Steve Long, Regional CTO, AppDynamics Recorded: Aug 14 2018 45 mins
    In today's digital enterprise, it's technology that drives business success. And with the strategic pairing of AppDynamics and Cisco, organizations can now drive their digital transformation forward in ways never before possible. But how?

    In this webinar, you’ll learn how AppDynamics real-time data platform is being correlated with Cisco’s data platforms to give you the richest end-to-end view across the stack, allowing for faster remediation and automation

    You’ll gain insights into:

    - New challenges of cross-domain failures in the enterprise
    - The future of IT intelligence across the software and infrastructure industries
    - How Cisco solutions like ACI, CloudCenter and Workload Optimization Manager (CWOM) will be integrated with AppDynamics and Cisco
  • Luma Health: Using Analytics to Increase Customer Success
    Luma Health: Using Analytics to Increase Customer Success Aditya Bansod, Co-Founder & Humair Burney, Business Analyst at Luma Health & Scott Castle, Head of Product at Periscope Data Recorded: Aug 14 2018 28 mins
    All companies strive to drive sales. But acquiring new customers is only part of the battle; the real challenge is retaining them as customers. While net new buyers are great, having a loyal customer base ensures that you have quality product, take a regular pulse of industry needs, and drive pipeline … the goal of most successful companies.

    Join our webinar with Luma Health, an innovator in the patient experience space, to learn how they leverage their analytics platform to collect insights across the company and how they use those analytics to improve user retention.

    In this webinar, you will learn:
    - When it is time to turn to advanced analytics
    - Tying together disparate product data sources
    - The benefits Luma Health found from sharing insights (with their team and with customers)
    - How they are enabling enterprise customers with custom dashboards
  • Deploying Complex Stateful Applications with Kubernetes
    Deploying Complex Stateful Applications with Kubernetes Tom Phelan, Chief Architect, BlueData; Yaser Najafi, Big Data Solutions Engineer, BlueData Recorded: Aug 14 2018 59 mins
    Join this webinar to learn about using Kubernetes with stateful applications for AI and Big Data workloads.

    Kubernetes is now the de facto standard for container orchestration. And while it was originally designed for stateless applications and microservices, it's gaining ground in support for stateful applications as well.

    But distributed stateful applications – including analytics, data science, machine learning, and deep learning workloads – are still complex and challenging to deploy with Kubernetes.
    In this webinar, we'll discuss considerations for running stateful applications on Kubernetes:

    -Unique requirements for multi-service stateful workloads including Hadoop, Spark, Kafka, and TensorFlow

    -Persistent Volumes, Statefulsets, Operators, Helm, and other Kubernetes capabilities for stateful applications

    -Technical gaps in Kubernetes deployment patterns and tooling, including security and networking

    -Options and strategies to deploy distributed stateful applications in containerized environments

    Learn about a new open source project focused on deploying and managing stateful applications with Kubernetes.
  • Big Data HOAP as a Service-Why do you need it
    Big Data HOAP as a Service-Why do you need it Jim Curtis, 451 Research & Rohit Jain, Esgyn Recorded: Aug 14 2018 50 mins
    Big Data has grown in IoT, Data Lakes, Advanced analytics, Machine Learning, and real-time analytics use cases. It has pulled in various master, operational and historical data from the enterprise, enabling Big Data to widen the insights it provides in complementing existing operational and business intelligence systems, also supplementing or offloading those systems on a lower TCO scale-out Big Data architecture. This has led to the need for a richer and wider set of application workloads to be supported on Big Data platforms, ranging from stream ingest and processing, to transactional and operational, to ELT, to Business Intelligence, to advanced analytics. This also entails integrating the varied data models in the Big Data world, of search, graph databases, document processing, etc.

    A mature solution exists, with decades of investment and many patents to its name, open sourced as Apache Trafodion, and commercialized as EsgynDB, that has been addressing many of these wide HOAP application needs of customers across the world. It has been deployed by customers in the Cloud, as well as in multi-tenant deployments on premise.

    Esgyn is introducing EsgynDB Strato, which facilitates self-service deployments of “IoT” applications, “Run your business” operational applications, “Optimize your business” Data Lakes, BI, and analytics applications. It will also offer a full white glove concierge Managed Service, for customers to just focus on their cloud or on-prem applications, and let Esgyn take care of the database, from design, to creation, to management, to monitoring, to tuning, enabling customers to get to production value faster and be more successful. Customers can choose what services they want managed.

    In this Webinar, we will introduce you to EsgynDB Strato, to help you appreciate what differentiates it from the rest of the Big Data solutions, as the single solution for all your Cloud based HOAP needs.
  • Be ready for anything with HPE 3PAR Storage
    Be ready for anything with HPE 3PAR Storage Mathew Morrissey - World Wide 3PAR Product Marketing & Ryan Brooks - North America 3PAR Product Category Manager Recorded: Aug 14 2018 52 mins
    When your applications slow down, you’ve hit the app-data gap. This session will go beyond what’s new with HPE 3PAR StoreServ flash arrays to highlight how HPE 3PAR can close that gap. With predictive analytics and cloud-ready flash, HPE 3PAR delivers fast and reliable access to data both on-premises and off. Hear from a HPE 3PAR user on how all-flash improves business operations and addresses requirements such as risk mitigation and operational simplicity, making the all-flash data center a reality.
  • Leverage Your SIEM Solution Utilizing SOAR Technology
    Leverage Your SIEM Solution Utilizing SOAR Technology Mike Fowler, VP of Professional Services at DFLabs; Christian Have, Chief Product Officer at LogPoint Recorded: Aug 14 2018 43 mins
    Empower your security analysts to accelerate detection and response of cyber incidents by combining the power of SIEM and SOAR.

    Based on a new joint solution from DFLabs and LogPoint resulting from their deep two-way integration, join this webinar to see how two security operations tools can work seamlessly together fusing intelligence to improve the overall effectiveness and operational performance of your existing security program.

    While a SIEM solution delivers tons of valuable information about the security status of your IT system, a SOAR solution uses this information to automate the response needed to incoming cyber threats. Combining the two will free up valuable time and resources in any security program and make for faster, smarter detection, response, and remediation of potential incidents.

    Learn how to:

    · Respond to all security alerts
    · Automate repeatable, mundane tasks
    · Orchestrate actions across multiple security tools
    · Enrich raw data, allowing for more informed, effective decisions
    · Reduce the mean time to detection and response
    · Increase the ROI on existing security operations tools
  • AI and Industry 4.0: The new Predictive Maintenance
    AI and Industry 4.0: The new Predictive Maintenance Alessandro Chimera, Industry Consultant, TIBCO Software Recorded: Aug 14 2018 27 mins
    Maintenance affects the total efficiency of the factory. What maintenance strategies increase it and reduce the downtime costs?

    Using machine learning, you can prepare a model of your factory, identify normal and abnormal states, then watch real-time sensor data to predict degradation and intervene to avoid inefficiency and downtime.

    The webinar will cover:
    ●The newest strategies and how to anticipate problems using machine learning
    ●A real case where TIBCO Software helped a manufacturer save 10% on maintenance costs
  • Gain Control of Copy Data To Reduce Costs and Mitigate Risks
    Gain Control of Copy Data To Reduce Costs and Mitigate Risks Rich Vining, Senior Worldwide Product Marketing Manager,Hitachi Vantara; KC Phua, Director Technical Experts,Hitachi Vantara Recorded: Aug 14 2018 61 mins
    Organizations will spend more than $55 billion to store and manage an average of 13 copies of object data that they create in 2020, according to IDC researchers; This does not include the cost of data governance risks associated with uncontrolled copies of data, especially in a time of heightened data privacy regulations. In this webinar, you will learn:

    Key takeaways:
    - Understanding of the industry trends on copy data management - Recovery, Agile and Governance Copy of Services
    - A new holistic approach to automating the creation, refreshing, access controls and expiration of copy data
    - How to gain more value from backup data
  • How to Reduce Critical Application Downtime Using vRealize Operations
    How to Reduce Critical Application Downtime Using vRealize Operations Tim George, Solution Architect, Blue Medora Recorded: Aug 13 2018 56 mins
    VMware vRealize Operations can do so much more than monitor. Learn how you can bring together monitoring on different infrastructure components—including multiple hypervisors and monitoring platforms to turn it into a troubleshooting tool for your most critical workloads. See new dashboards that can help you identify the root cause of issues in databases, storage and networking before they cascade to other parts of your stack.
  • Bringing Intelligence to Edge Computing Through Machine Learning
    Bringing Intelligence to Edge Computing Through Machine Learning Janakiram MSV, a well-respected analyst, advisor, and architect in the cloud computing space Recorded: Aug 11 2018 31 mins
    Inferencing machine learning models is one of the top use cases of edge computing. From time-series telemetry to video frames, machine learning can be leveraged to infer inbound data streams to intelligently detect anomalies and patterns.

    When combined with industrial IoT, ML inferencing makes the deployments valuable through predictive maintenance and analytics.

    Join Janakiram MSV, a well-respected analyst, advisor, and architect in the cloud computing space for this on-demand webinar on:

    -The evolution of edge computing
    -Machine learning as the driver of edge computing
    -The role of serverless computing
    -Edge and the importance of interoperability across deep learning frameworks
    -How TIBCO’s Project Flogo® helps developers bring intelligence to the edge
  • Rapid Restore of Critical Data (Superfast BackUp & Recovery)
    Rapid Restore of Critical Data (Superfast BackUp & Recovery) Lee Angel, Principal Systems Engineer, Pure Storage Recorded: Aug 10 2018 52 mins
    Join storage industry veteran and co-founder of Pure Storage Europe, Lee Angel, as he explains why backup appliances are artefacts of an outdated infrastructure.

    What if backup appliances were no longer an entire industry, but simply an application running on a single, powerful platform? Whether it’s fast backup and recovery or rapid restore for test/dev, a modern data platform from Pure Storage can consolidate and accelerate these workloads.
  • Hybrid Data Analytics Live TechTALK
    Hybrid Data Analytics Live TechTALK Paul Micke - Software Architect at Actian Recorded: Aug 9 2018 37 mins
    This interactive webinar features the Actian Vector analytics database. Paul will provide a an overview of the technology and use cases for world's fastest database and demonstrate of how to quickly get started on Windows. Viewers can ask question during the event to be addressed during the live Q & A.
  • Can your data infrastructure support AI marketing?
    Can your data infrastructure support AI marketing? Rolf Schromgens, CEO, Trivago Recorded: Aug 9 2018 62 mins
    Are you AI-ready? You need to be. Artificial intelligence marketing applications are delivering on their promise to source new insights to grow your business fast, AI technology is becoming available to any company looking for a competitive edge, and now’s the time to move, if you want to stay ahead of the curve.

    But the challenge is not just in defining an AI strategy; it requires developing the infrastructure to support it.

    Should you be developing in-house, or look to available technology and collaborate with outside experts? Keep deployment on-premise, or reach for the cloud? Can your current infrastructure, from server performance to processing power, stand up to the demands of increasingly complex AI applications?

    Get ready to level up your marketing strategy with AI, advance your technological capabilities in smart, strategic ways, learn how to make sure your next infrastructure move helps you exploit the AI advantage and more when you join this VB Live event!

    Register for free!

    Attend this webinar and learn:
    * How to tell if your marketing and IT departments are AI-ready
    * The fundamentals of an AI-driven infrastructure
    * The role of clean, definable data goals in successful AI implementation
    * How to scale the AI workload

    Speakers:
    * Andrew Malinow, PhD., Principal Data Scientist, Zylotech
    * Rolf Schromgens, CEO, Trivago
    * Sherif Mityas, Chief Experience Officer, TGI Friday's
    * Michele Goetz, Principal Analyst, Forrester
    * Rachael Brownell, Moderator, VentureBeat

    Sponsored by Zylotech
  • Beyond Office 365: How Your Peers are Taming the Long Tail of SaaS Apps
    Beyond Office 365: How Your Peers are Taming the Long Tail of SaaS Apps Salim Hafid, Marketing Manager, Bitglass; Brandon Dunlap (Moderator) Recorded: Aug 9 2018 61 mins
    The long tail of SaaS is growing rapidly. Today, thousands of unmanaged "Shadow IT" applications are used in every major enterprise around the globe and IT departments have little visibility or control over these rogue apps. While the challenge was first simply to secure major SaaS platforms like Office 365, the new reality is a “cloud and mobile-first world” where employees often use new applications that aren’t approved and put corporate data at risk. Join Bitglass and (ISC)2 on August 9, 2018 at 1PM Eastern for the final part of this Security Briefings series where we’ll discuss how leading organizations are evolving their security to solve these challenges, what organizations are prioritizing when evaluating a solution and how zero-day technologies built for a cloud-first world are able to identify, categorize, and secure unknown apps.
  • Digital-ready architecture: Legacy Modernization with UIA Insurance
    Digital-ready architecture: Legacy Modernization with UIA Insurance Jason Reaney, IT Director at UIA Mutual Insurance and Shariq Imam, Senior Business Manager at Espire Recorded: Aug 9 2018 56 mins
    How do you modernise a pricing change process and reduce time to completion from 45 days, to just 1 day? UIA Mutual Insurance, one of the UK's leading mutual insurers, achieved just that by modernizing legacy systems and automating their whole claims process. As a provider of insurance to trade union members and their families for over 125 years, that is no small feat with many embedded systems and processes to unpick.

    Hear from Jason Reaney, IT Director at UIA Mutual Insurance and Shariq Imam, Senior Business Manager at Espire, on June 14 at 10am (BST) to understand how UIA decoupled their architecture and has begun to digitize the customer journey.
  • 5 Questions to Ask About Your Next Backup Software
    5 Questions to Ask About Your Next Backup Software Edwin Yuen, Senior Analyst, ESC and Greg Bennett, Director solutions marketing, Commvault Recorded: Aug 9 2018 36 mins
    Many companies today are considering how to replace their data backup and recovery software. And with good reason. Data volumes continue growing exponentially, organizations are digitizing more functions than ever, and most companies are implementing some form of hybrid cloud strategy that combines public cloud, private cloud, and traditional IT. Legacy and point solutions for storing, backing up and recovering data are not sufficient. And in a world where malware and ransomware attacks are rising, no company wants to be caught without backups.

    In this webinar, we’ll discuss the factors driving companies to reconsider their backup and recovery solutions and recommend five questions to ask when choosing a new solution.  
  • Don't Ignore Endpoint Data Protection in your Data Management Plans
    Don't Ignore Endpoint Data Protection in your Data Management Plans Kalyani Kallakuri and Gregg Ogden from Commvault Aug 16 2018 12:00 pm UTC 45 mins
    Today, most organizations already have a practical understanding of how to manage their data center. However, they often overlook or decide not to focus on data that resides on endpoints, and walk out the door on a nightly basis.

    This session will discuss the business drivers and technical challenges associated with protecting, managing and controlling data that lives on their edge devices – endpoints. 

    We will help you the answer the question : Isn’t using a cloud file-sharing service good enough?
  • Das Geheimnis erfolgreicher Unternehmen
    Das Geheimnis erfolgreicher Unternehmen Oliver Sehon (Director Analytics Integation, SAP) und Jochen Alig (Solution Consultant Senior, SAP Concur) Aug 16 2018 1:00 pm UTC 45 mins
    Nur wer seine Daten kennt, kann sie erfolgreich einsetzen. Erleben Sie anhand des Digital Boardrooms, welche Möglichkeiten die Integration von SAP Concur in die SAP Analytics Cloud bringt.

    Daten aus dem Geschäftsreisemanagement berühren viele Abteilungen:

    - Finanzverantwortliche, die sich volle Transparenz über Kosten und eine verlässliche Datengrundlage für Investitionsentscheidungen wünschen.

    - Travel Manager, die wissen wollen, wie Mitarbeiter reisen, um in Verhandlungen mit Anbietern das Maximum herauszuholen.

    - HR-Experten, für die es wichtig ist, die (Reise-)Gewohnheiten Ihrer Mitarbeiter zu kennen, um so in der Lage zu sein, deren Zufriedenheit zu erhöhen.
  • Gain Deep Visibility into APIs and Integrations with Anypoint Monitoring
    Gain Deep Visibility into APIs and Integrations with Anypoint Monitoring Andrew Bragdon, Principal Product Manager, MuleSoft Aug 16 2018 4:00 pm UTC 60 mins
    On average, a business supporting digital transactions now crosses 35 backend systems — and legacy tools haven’t been able to keep up. This session will cover how MuleSoft’s new monitoring and diagnostic solutions provide end-to-end actionable visibility to APIs and integrations to help customers identify and resolve issues quickly.

    Key Takeaways:
    * Measure application performance across APIs and integrations in production
    * How to query and retrieve log data across your network
    * End-to-end walkthrough of priority issue identification and resolution
    * Exciting new capabilities of Anypoint Monitoring
  • Hybrid Data Analytics Live TechTALK
    Hybrid Data Analytics Live TechTALK Pradeep Bhanot - Director of Product Marketing at Actian Aug 16 2018 5:00 pm UTC 45 mins
    In this webinar featuring Actian Vector analytics database, Pradeep will provide a product overview, share case studies and include a short demo.

    You can submit your question during the event for the live Q & A.

    Download the Evaluation Edition at https://www.actian.com/try-vector/
  • Nimble Storage Achieves 99.9999% Availability, 287% ROI with Vertica Analytics
    Nimble Storage Achieves 99.9999% Availability, 287% ROI with Vertica Analytics Medha Bhadkamkar, Senior Manager of Data Science and Services for InfoSight, Hewlett Packard Enterprise Aug 16 2018 5:00 pm UTC 60 mins
    Join the latest webcast in our Data Disruptors Series to hear how Nimble Storage leverages flash storage and predictive analytics to deliver advanced customer insights and 99.9999% availability. The company’s InfoSight customer platform eliminates headaches and wasted time by transforming how storage is managed and supported, analyzing millions of sensors every second to prevent problems.

    On this webcast you’ll hear from Medha Bhadkamkar, Senior Manager of Data Science and Services for InfoSight, on how Nimble Storage leverages Vertica to:
    • Improve customer experience and business efficiency
    • Make storage autonomous through the use of advanced analytics
    • Predict and solve 86% of issues automatically
    • Achieve 287% ROI and annual benefit of $13.6 million
  • Mixing Analytic Workloads with Greenplum and Apache Spark
    Mixing Analytic Workloads with Greenplum and Apache Spark Kong Yew Chan, Product Manager, Pivotal Aug 16 2018 6:00 pm UTC 60 mins
    Apache Spark is a popular in-memory data analytics engine because of its speed, scalability, and ease of use. It also fits well with DevOps practices and cloud-native software platforms. It’s good for data exploration, interactive analytics, and streaming use cases.

    However, Spark, like other data-processing platforms, is not one size fits all. Different versions of Spark support different feature sets, and Spark’s machine-learning libraries can also vary in important ways between versions, or may lack the right algorithm.

    In this webinar, you’ll learn:

    - How to integrate data warehouse workloads with Spark
    - Which workloads are better for Greenplum and for Spark
    - How to use the Greenplum-Spark connector

    We look forward to you joining the webinar.
  • From Single Purpose to Multi Purpose Data Lakes - Broadening End Users
    From Single Purpose to Multi Purpose Data Lakes - Broadening End Users Paul Moxon, VP Data Architecture and Chief Evangelist, Denodo Aug 16 2018 6:00 pm UTC 60 mins
    Abstract: Historically data lakes have been created as centralized physical data storage platform for data scientists to analyze data. But lately the explosion of big data, data privacy rules, departmental restrictions among many other things have made the centralized data repository approach less feasible. In his recent whitepaper, renowned analyst Rick F. Van Der Lans talks about why decentralized multi purpose data lakes are the future of data analysis for a broad range of business users.

    Please attend this session to learn:
    The restrictions of physical single purpose data lakes
    How to build a logical multi purpose data lake for business users
    The newer use cases that makes multi purpose data lakes a necessity
  • Ingest, Compute & Analyze IoT Data with AWS IoT Core & AWS Greengrass
    Ingest, Compute & Analyze IoT Data with AWS IoT Core & AWS Greengrass Tolga Tarhan, CTO at Onica Aug 16 2018 9:00 pm UTC 60 mins
    Whether you’re using IoT to remotely control a device, track devices in the wild, or collect and predict performance and failures, you’ll need the power of AWS. By leveraging AWS' connectivity, storage, application, and analytics capabilities, you can build IoT-enabled apps quickly and at a fraction of the cost.

    We’ll cover AWS IoT Core & AWS Greengrass and discuss:
    - Device connectivity & security
    - Ingesting data with AWS IoT
    - Reacting to IoT data in real-time
    - Storing data in Amazon DynamoDB and Amazon S3.
    - Compute options with Amazon EC2 and AWS Lambda
    - Analytics: batch processing, analytics at the Edge Device


    We’ll walk through customer success stories:

    FRAC-CHEM sought to track the performance of fracking hydration units in remote field locations. Onica developed an IoT Device, software, infrastructure, and application to collect, transmit, parse, and store data. A real-time dashboard was integrated on-site allowing full transparency into deployed hydration units.

    Alistair Group needed a solution to manage their group of contractors, drivers, trucks, trailers, and load assignments. We helped build a proprietary serverless application connected to IoT devices on the trucks to manage their subcontractor fleet. The new application streamlined and automated their operations process.
  • Introduction to SNIA Swordfish™ ─ Scalable Storage Management
    Introduction to SNIA Swordfish™ ─ Scalable Storage Management Alex McDonald, Vice-Chair SNIA Europe and NetApp Aug 21 2018 9:00 am UTC 75 mins
    The SNIA Swordfish™ specification helps to provide a unified approach for the management of storage and servers in hyperscale and cloud infrastructure environments, making it easier for IT administrators to integrate scalable solutions into their data centers. Swordfish builds on the Distributed Management Task Force’s (DMTF’s) Redfish® specification using the same easy-to-use RESTful methods and lightweight JavaScript Object Notation (JSON) formatting.

    Join this session to receive an overview of Swordfish including the new functionality added in version 1.0.6 released in March, 2018.
  • Pervasive Integration - Introducing Hybrid Implementation Platform
    Pervasive Integration - Introducing Hybrid Implementation Platform Mikkel Iversen, Head of Integration, NNIT Aug 21 2018 11:00 am UTC 45 mins
    This session will focus on introducing pervasive integration with the different integration personas as Integration Specialists, AdHoc integrators and Citizen integrators. The session will cover the implementation of a Hybrid Integration platform and the components it can consist of: ESB, iPaaS, Api Mgt. and iSaaS. It will be described, how a HIP can supplement agile development organizations and BiModal IT.


    About Mikkel Iversen:

    Mikkel Iversen has worked with enterprise integration for the last 12 years with tasks ranging from developer, architect, business liaison to management of integration CoEs. Today he is responsible for all integration technologies and consultants in NNIT – A leader in the integration space in the Nordics.
    Mikkel focuses on integration organization and overall implementation of Pervasive integration solutions, with a shift from Center of Excellence to Center of Enablement.

    Other webinars in this Cloud Webinar Series:

    Session 2: Welcoming the Informatica Intelligent Cloud Services
    Session 3: Using IICS to orchestrate complex order processing
    Session 4: Lift & Shift (EDW) Enterprise Data warehouse to Azure
    Session 5: Customer Case: Rockwool’s Cloud journey
    Session 6: How to engage with Cloud Computing?
  • The Software Asset Management Landscape Has Changed: What You Need to Know
    The Software Asset Management Landscape Has Changed: What You Need to Know Carleen Carter, Meghan Lockwood Aug 21 2018 5:00 pm UTC 60 mins
    On Tuesday, August 21st, at 1:00 PM ET, 10:00 AM PT, join Carleen Carter, Acorio's Director of Technical Consultants and Solutions, as she presents The Software Asset Management Landscape is Changing: Here's What You Need to Know.

    - Software Asset Management Best Practices & Strategy
    - Changes with Virtual Machines and Cloud Licenses
    - Lower cost and risk with ServiceNow's Software Asset Management
  • Getting Started with Machine Learning
    Getting Started with Machine Learning Andrew Stein, Principal Product Manager Aug 21 2018 5:00 pm UTC 75 mins
    You’ve heard the buzz about artificial intelligence and machine learning and now you want to bring their benefits to your organization. In the second webinar in our AI & ML series, we will dive into more depth on machine learning solutions and how they can help you. In this webinar, we’ll talk through using machine learning concepts such as:

    ● Anomaly Detection
    ● Association
    ● Classification
    ● Clustering
    ● Estimation
    ● Prediction
    ● Regression
    ● Re-inforcement learning
    ● And much more!

    You’ll walk away with an understanding of how ML can help improve your decision making, forecast or predict KPIs, alert on deviation and uncover hidden trends or relationships.
  • Implementing a Sparse Logistic Regression Algorithm in Apache Spark
    Implementing a Sparse Logistic Regression Algorithm in Apache Spark Lorand Dali, Data Scientist, Zalando Aug 21 2018 5:00 pm UTC 39 mins
    This talk tells the story of implementation and optimization of a sparse logistic regression algorithm in spark. I would like to share the lessons I learned and the steps I had to take to improve the speed of execution and convergence of my initial naive implementation. The message isn’t to convince the audience that logistic regression is great and my implementation is awesome, rather it will give details about how it works under the hood, and general tips for implementing an iterative parallel machine learning algorithm in spark.

    The talk is structured as a sequence of “lessons learned” that are shown in form of code examples building on the initial naive implementation. The performance impact of each “lesson” on execution time and speed of convergence is measured on benchmark datasets.

    You will see how to formulate logistic regression in a parallel setting, how to avoid data shuffles, when to use a custom partitioner, how to use the ‘aggregate’ and ‘treeAggregate’ functions, how momentum can accelerate the convergence of gradient descent, and much more. I will assume basic understanding of machine learning and some prior knowledge of spark. The code examples are written in scala, and the code will be made available for each step in the walkthrough.

    Lorand is a data scientist working on risk management and fraud prevention for the payment processing system of Zalando, the leading fashion platform in Europe. Previously, Lorand has developed highly scalable low-latency machine learning algorithms for real-time bidding in online advertising.
  • The Age of Consumption: HCTS 2018 Q&A
    The Age of Consumption: HCTS 2018 Q&A 451 Research Vice Presidents Kelly Morgan, Melanie Posey and Al Sadowski Aug 21 2018 6:00 pm UTC 30 mins
    451 Research’s 14th annual Hosting & Cloud Transformation Summit (HCTS) in Las Vegas from September 24-26 is coming up fast! HCTS welcomes executives in the hosting, cloud, datacenter and managed services sectors to hear timely, actionable insight into the competitive dynamics of innovation from 451 Research analyst talent and guest speakers including AWS, Microsoft, Huawei, ING, DH Capital and more. In this webinar, we will be discussing what to expect from this year’s Summit, some highlights from previous years and asking about upcoming sessions with three 451 Research Vice Presidents who will be taking the main stage at HCTS: Kelly Morgan, Melanie Posey and Al Sadowski. Join this Q&A webinar to learn about:
    - What is the Age of Consumption and what should we expect to see from it?
    - Why should organizations have a strong business-IT alignment when moving forward with a Digital Transformation strategy?
    - What, if any, key shifts are happening in the multi-tenant datacenter space as a result of the age of consumption?
    - Why are hyperscalers both a friend AND foe to other service providers?
  • Tech Tuesday: Evaluating Object Storage Solutions
    Tech Tuesday: Evaluating Object Storage Solutions John Bell, Senior Consultant & Ben Canter, VP Global Sales Aug 21 2018 6:00 pm UTC 60 mins
    You've heard about the many benefits of object storage, but do you know which one is the right solution for your use case and organization? Object storage experts John Bell, Sr. Consultant, and Ben Canter, VP Global Sales, will discuss the criteria that should be used when evaluating object storage solutions for various use cases and share the knowledge gleaned from the 100s of successful installations Caringo has managed over the past dozen years. This interactive presentation will be followed by a live Q&A so you can ask questions that address your specific areas of interest.
  • Scalable Machine Learning on KubeFlow with H2O.ai
    Scalable Machine Learning on KubeFlow with H2O.ai Nick Png Aug 21 2018 6:00 pm UTC 75 mins
    Nick will give an overview of H2O, the leading open source machine learning platform for the enterprise, which integrates seamlessly with R and Python environments, as well as, Driverless AI, an enterprise grade automated machine learning solution. H2O and Driverless AI provide best of breed scalable open source machine learning and automatic machine learning respectively.


    In this session, we will cover running H2O-3 and Driverless AI on GKE with Kubeflow. Additionally, we will be discussing burst to cloud and how to we can leverage Google Cloud Platform where local infrastructure is just not enough.
  • IoT in Mining: Current Capabilities & Future Pathways
    IoT in Mining: Current Capabilities & Future Pathways CSIRO: Australia's Commonwealth Scientific & Research Organisation Aug 22 2018 12:00 am UTC 60 mins
    IoT is turning mining into a safer and more productive industry. The technology involves connecting machines, fleet and people with sensor technologies that transfers and receive data over a network.
  • Welcoming the Informatica Intelligent Cloud Services
    Welcoming the Informatica Intelligent Cloud Services Dion Jensen, Principal Presales Consultant, Informatica Aug 22 2018 9:00 am UTC 60 mins
    This session will give you an overview of the new IICS platform: covering an introduction to the Informatica Intelligent Cloud Services platform with numerous, real world use cases, as well as a session around how to bring your PowerCenter workload to the Cloud.


    Other webinars in this Cloud Webinar Series:

    Session 1: How to engage with Cloud Computing?
    Session 3: Using IICS to orchestrate complex order processing
    Session 4: Lift & Shift (EDW) Enterprise Data warehouse to Azure
    Session 5: Customer Case: Rockwool’s Cloud journey
    Session 6: How to engage with Cloud Computing?
  • Orchestrate: Using IICS to orchestrate complex order processing
    Orchestrate: Using IICS to orchestrate complex order processing Dion Jensen, Principal Presales Consultant, Informatica Aug 22 2018 11:00 am UTC 45 mins
    This session will include a demonstration of the powerful and flexible ability for the Informatica Intelligent Cloud Services (IICS) to process orders via two different channels, spanning multiple services within the IICS platform.


    Other webinars in this Cloud Webinar Series:

    Session 1: How to engage with Cloud Computing?
    Session 2: Welcoming the Informatica Intelligent Cloud Services
    Session 4: Lift & Shift (EDW) Enterprise Data warehouse to Azure
    Session 5: Customer Case: Rockwool’s Cloud journey
    Session 6: How to engage with Cloud Computing?
  • Accudata's White-Hat Files | August 2018 Edition
    Accudata's White-Hat Files | August 2018 Edition Anton Abaya, CISA, PCI QSA, Senior Consultant Aug 22 2018 4:00 pm UTC 15 mins
    Our fourth White-Hat File is once again from Anton Abaya, CISA, PCI QSA, Senior Consultant in Accudata’s Risk and Compliance practice.

    In the July edition, Anton talked about his expertise with physical social engineering. In this 15-minute webinar, he’ll describe the most effective ways he uses online phishing techniques to break into corporate networks—and how you can ensure these remote attacks don’t work on your employees.
  • RoCE vs. iWARP
    RoCE vs. iWARP Tim Lustig, Mellanox; Fred Zhang, Intel; John Kim, Mellanox Aug 22 2018 5:00 pm UTC 75 mins
    Network-intensive applications, like networked storage or clustered computing, require a network infrastructure with high bandwidth and low latency. Remote Direct Memory Access (RDMA) supports zero-copy data transfers by enabling movement of data directly to or from application memory. This results in high bandwidth, low latency networking with little involvement from the CPU.

    In the next SNIA ESF “Great Storage Debates” series webcasts, we’ll be examining two commonly known RDMA protocols that run over Ethernet; RDMA over Converged Ethernet (RoCE) and IETF-standard iWARP. Both are Ethernet-based RDMA technologies that reduce the amount of CPU overhead in transferring data among servers and storage systems.

    The goal of this presentation is to provide a solid foundation on both RDMA technologies in a vendor-neutral setting that discusses the capabilities and use cases for each so that attendees can become more informed and make educated decisions.

    Join to hear the following questions addressed:

    •Both RoCE and iWARP support RDMA over Ethernet, but what are the differences?
    •Use cases for RoCE and iWARP and what differentiates them?
    •UDP/IP and TCP/IP: which uses which and what are the advantages and disadvantages?
    •What are the software and hardware requirements for each?
    •What are the performance/latency differences of each?

    Join our SNIA experts as they answer all these questions and more on this next Great Storage Debate
  • How to Meet Enhanced Data Security Requirements with Pivotal Greenplum
    How to Meet Enhanced Data Security Requirements with Pivotal Greenplum Alastair Turner, Data Engineer & Greg Chase, Business Development, Pivotal Aug 22 2018 5:00 pm UTC 60 mins
    As enterprises seek to become more analytically driven, they face a balancing act: capitalizing on the proliferation of data throughout the company while simultaneously protecting sensitive data from loss, misuse, or unauthorized disclosure. However, increased regulation of data privacy is complicating how companies make data available to users.

    Join Pivotal Data Engineer Alistair Turner for an interactive discussion about common vulnerabilities to data in motion and at rest. Alastair will discuss the controls available to Greenplum users—both natively and via Pivotal partner solutions—to protect sensitive data.

    We'll cover the following topics:

    - Security requirements and regulations like GDPR
    - Common data security threat vectors
    - Security strategy for Greenplum
    - Native security features of Greenplum

    Don’t miss this lively session on a timely issue—sign up today!
  • There's A New Privacy Sheriff In Town: The California Consumer Privacy Act
    There's A New Privacy Sheriff In Town: The California Consumer Privacy Act Debra Farber (BigID) & Doron M. Rotman (KPMG) Aug 22 2018 5:00 pm UTC 60 mins
    The California Consumer Privacy Act ("CaCPA") - the first data protection regulation of its kind in the U.S. - will go into effect on Jan 1, 2020. Join Doron Rotman, Managing Director and National Privacy Service [DMR] Co-Leader, Advisory at KPMG LLP and Debra Farber, Senior Director of Privacy at BigID, for a discussion on what the CaCPA means for companies doing business in California, and how to prepare for its requirements. The discussion will provide a practical perspective on how companies can develop and tailor their privacy management programs to respect the new rights afforded to California consumers and what steps they should take between now and 2020 to comply.

    In this webinar, attendees will learn:

    - The main similarities and differences between the CaCPA and the EU General Data Protection Regulation ("GDPR").

    - Why the CaCPA means "no more business as usual" for how personal data are collected, governed, and secured.

    - The foundational processes, technology, and organizational elements that companies should put in place to prepare.

    - Trends: How other companies are approaching compliance with CaCPA.
  • Data vs Goliath: how retail and ecommerce can stop disruption with a CDP
    Data vs Goliath: how retail and ecommerce can stop disruption with a CDP Erik Archer Smith, Marketing Director of ABM Aug 22 2018 5:00 pm UTC 45 mins
    Disruption from a few data behemoths has forced the retail and eCommerce companies to innovate and retrain themselves to be data-driven or risk falling behind. Join us as we look at how 4 different companies including Japan’s #1 beer company, a global beauty brand and a brick and mortar retailer are blending online + offline data to predict and influence customer journeys. We'll also look at how digitally native eCommerce site, Wish.com, used data to beat Amazon and become the #1 mobile shopping app.

    Who Should Attend:
    Retail, CPG and eCommerce executives, marketing operations, digital marketers, or data analysts who want to learn how a startup founded in 2011 beat Amazon to become the #1 shopping app on iOS and Android.
  • How to Architect a Successful Data Lake
    How to Architect a Successful Data Lake Rajesh Nadipalli, Director of Product Support and Professional Services Aug 22 2018 6:00 pm UTC 120 mins
    Building a data lake is easy. Architecting a successful data lake that is flexible enough to accept multiple data sources, volumes, and types all while being able to scale with your business is harder.

    Do it wrong and you've created a data swamp. Do it right and you turn data into the most valuable asset in your business.

    Join us and learn from Rajesh Nadipalli, Zaloni’s Director of Product Support and Professional Services, how to:
    - Set your data lake up for success with the right architecture
    - Build guard rails to ensure the accuracy of data in your lake with proper data governance
    - Provide visibility into your lake with a robust data catalog (or tie in with your favorite BI tools)