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Data Management

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  • The Art of Storage Management The Art of Storage Management George Crump, Curtis Preston Recorded: Dec 15 2016 62 mins
    Any organization that takes a moment to study the data on their primary storage system will quickly realize that the majority (as much as 90 percent) of data that is stored on it has not been accessed for months if not years. Moving this data to a secondary tier of storage could free up massive amount of capacity, eliminating a storage upgrade for years. Making this analysis frequently is called data management, and proper management of data can not only reduce costs it can improve data protection, retention and preservation.
  • 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.
  • 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
  • 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.
  • Analytics in the Cloud Analytics in the Cloud Natalino Busa, Head of Applied Data Science at Teradata Recorded: Dec 7 2016 45 mins
    Today, data is everywhere. As more data streams into cloud-based systems, the combination of data and computing resources gives us today the unprecedented opportunity to perform very sophisticated data analysis and to explore advanced machine learning methods such as deep learning.

    Clouds pack very large amount of computing and storage resources, which can be dynamically allocated to create powerful analytical environments. By accessing those analytics clusters of machines, data analysts and data scientists can quickly evaluate more hypotheses and scenarios in parallel and cost-effectively.

    The number of analytical tools which is supported on various clouds is increasing by the day. The list of analytical tools spans from traditional rdms databases as provided by vendors to analytics open sources projects such as Hadoop Hive, Spark, H2O. Next to provisioning tools and solutions on the cloud, managed services for Data Science, Big Data and Analytics are becoming a popular offering of many clouds.

    Analytics in the cloud provides whole new ways for data analysts, data scientists and business developer to interact with each other, share data and experiments and develop relevant insight towards improved business processes and results. In this talk, I will describe a number of data analytics solutions for the cloud and how they can be added to your current cloud and on-premise landscape.
  • The Big BI Dilemma - Bimodal Logical Data Warehouse to the Rescue! The Big BI Dilemma - Bimodal Logical Data Warehouse to the Rescue! Rick van der Lans, Independent Industry analyst, Lakshmi Randall, Head of Product Marketing for Denodo Recorded: Dec 6 2016 59 mins
    The classic unimodal data warehouse architecture has expired because it is restricted to primarily supporting structured data but not the newer data types such as social, streaming, and IoT data. New BI architecture, such as “logical data warehouse”, is required to augment the traditional and rigid unimodal data warehouse systems with a new bimodal data warehouse architecture to support requirements that are experimental, flexible, explorative, and self-service oriented.

    Learn from the Logical Data Warehousing expert, Rick van der Lans, about how you can implement an agile data strategy using a bimodal Logical Data Warehouse architecture.
    In this webinar, you will learn:

    · Why unimodal data warehouse architectures are not suitable for newer data types
    · Why an agile data strategy is necessary to support a bimodal architecture
    · The concept of Bimodal Logical Data Warehouse architecture and why it is the future
    · How Data Virtualization enables the Bimodal Logical Data Warehouse
    · Customer case study depicting successful implementation of this architecture
  • A World Full of Insights – Mapping & Geospatial Visualization with Your Data A World Full of Insights – Mapping & Geospatial Visualization with Your Data David Clement & Rick Blackwell, IBM Watson Recorded: Dec 6 2016 56 mins
    High performance and scalable data mapping offers unlimited opportunities for quickly categorizing and identifying key insights for retail, defense, insurance, utilities, natural resources, social sciences, medicine, public safety and more.

    Organizations, already awash in customer data, know geospatial capabilities can put a new “lens”on existing reports. Data from smartphones, GPS devices and social media has organizations anxious to factor in customer location, origin or destination, with time or day.

    Join IBM Product Marketing Manager David Clement and IBM Senior Product Manager Rick Blackwell and explore the new, world-class mapping and geospatial capabilities for IBM Cognos Analytics and Watson Analytics. Discover how you can add geographic dimension to visualizing critical business information in reports and dashboards in Cognos Analytics.

    Keywords:
    analytics, data, big, watson, ibm, visualization, mapping, geospatial
  • IT Powered Enterprise Analytics IT Powered Enterprise Analytics Andy Cooper, Enterprise IT Consultant, Tableau Recorded: Dec 6 2016 48 mins
    Traditional report factories are rapidly becoming obsolete. Enterprise organizations are shifting to self-service analytics and looking for a sustainable, yet long-term approach to governance that satisfies the needs of both the business and IT.

    The Business needs real-time access to data to drive critical decisions. IT needs to audit and manage data to ensure it’s accurate, secure, and governed to scale.

    With only eight percent of people in traditional organizations able to both ask and answer their own questions, it’s time to take a closer look at your analytics strategy.

    Join this webinar to take a closer look at enterprise analytics and learn how:
    · Visual data analysis brings speed, value, accuracy, collaboration and leads to culture of analytics

    · Modern enterprises are eliminating boundaries between IT and the business

    · Shifting to enterprise self-service analytic tools empowers both the business and IT
  • How is Data Analytics Reducing Payments Fraud? How is Data Analytics Reducing Payments Fraud? Ina Yulo (BrightTALK), Andrew Davies (Fiserv), Martin Koderisch (Edgar Dunn) Recorded: Nov 30 2016 59 mins
    Predictive Analytics and the study of Big Data has helped many institutions to detect fraudulent practices before they become a hazard to the business. This is especially evident in the Financial Services sector where deploying an efficient prevention and detection strategy is of utmost importance.

    Join this panel where experts will discuss:
    -Which analytics to look at to stop fraudulent payments in real-time
    -Using trends and behavioural analytics to detect anomalies
    -How to implement a holistic strategy that's right for your organisation
    -The challenges in maintaining compliance standards
    -Use cases and applications of analytics to prevent financial crime
  • Video interview: Big Data Challenges: What to do and where to go? Video interview: Big Data Challenges: What to do and where to go? Jason Foster, Director & Founder at Cynozure Recorded: Nov 29 2016 6 mins
    Listen to our interview at Big Data LDN with Jason Foster, Director & Founder at Cynozure.

    Jason will discuss:

    -The value of Big Data and which skills are required to deliver that value
    -How to get started with Big Data projects
    -What to do if progress is limited
    -Business opportunities around customer insight, supply chain analytics, and more

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