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    • Five Essential Data Management Practices for Analytics Five Essential Data Management Practices for Analytics Lisa Dodson, Systems Engineer Manager, SAS Recorded: Nov 18 2015 4:00 pm UTC 50 mins
    • For data to yield valuable insights on demand, it must be transformed into information that is accurate, complete and readily accessible. Your data management processes cannot be an afterthought.

      How do you enable effective analytics? It’s simple, but not easy. Organizations have to lay the groundwork with smart planning, careful choices and the right technology. And that’s just the beginning.

      In this live one-hour webinar, Lisa Dodson, Systems Engineer Manager for SAS, addresses five essential data management practices in analytics and demonstrate how SAS Data Management helps you improve, integrate and govern your data.

      Dodson is a recognized expert in data management, data governance and data quality at SAS, where she has worked for 14 years. She holds a master’s degree in information quality and has affiliations with many data management/governance organizations.

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    • Coexistence: Hybrid Cloud Deployments & Enterprise Systems Coexistence: Hybrid Cloud Deployments & Enterprise Systems Ryan Skipp, T-Systems Recorded: Nov 10 2015 6:00 pm UTC 55 mins
    • Business and IT leaders are understandably reluctant to retire considerable, legacy investment in technology, people, and processes due to security, risk, and regulatory compliance obligations. This creates a hybrid IT deployment model: an on-premise landscape of existing or legacy systems and off-premise cloud deployment of suitable IT capability.

      The Open Data Center Alliance (ODCA) believes that integration of cloud deployments with enterprise landscapes should consider people, process, technology, and operating models. Doing so encourages faster cloud adoption, leverages existing enterprise investments in IT landscape and helps govern safe cloud adoption through effective risk and compliance management.

      Join this free webinar and download a whitepaper published by ODCA and top member companies.

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    • It’s time to rethink the Speed, Economics and Governance of BI It’s time to rethink the Speed, Economics and Governance of BI Richard Neale, EMEA Director, Birst Recorded: Dec 10 2015 1:00 pm UTC 44 mins
    • When faced with the prospect of modernising your BI ecosystem, you probably face a patchwork of data sources and legacy analytics solutions. Impatient business users have often independently acquired desktop data discovery products that promise agility and self-service, but lack the underlying architectures to ensure data consistency and governance across the enterprise. As a result, you face the risk of analytic silos, loss of data security, and eventually, analytical anarchy.

      The greatest risk of all is to hold steady with your legacy environment. Business groups won’t stand still. When they move forward, they may leave IT behind. Instead of resisting change, IT must deliver a modern approach to BI and analytics that satisfies the business demands for self-sufficiency, while providing an architecture that ensures data governance.

      This webinar will explore how to deliver the fast, self-service BI experience your business users need without sacrificing the data governance and trust you require and describe how to
      · Empower business units with self service

      · Transparently govern data

      · Manage centralised & decentralised BI

      · Lower risk & reduce overall TCO

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    • Informatica Big Data Management Deep Dive and Demo Informatica Big Data Management Deep Dive and Demo Amit Kara, Big Data Technical Marketing, Informatica Recorded: Jan 28 2016 5:00 pm UTC 62 mins
    • Hadoop is not just for play anymore. Companies that are turning petabytes into profit have realized that Big Data Management is the foundation for successful Big Data projects.

      Informatica Big Data Management delivers the industry’s first and most comprehensive solution to natively ingest, integrate, clean, govern, and secure big data workloads in Hadoop.

      In this webinar you’ll learn through in depth product demos about new features that help you increase productivity, scale and optimize performance, and manage metadata such as:

      • Dynamic Mappings – enables mass ingestion & agile data integration with mapping templates, parameters and rules
      • Smarter Execution Optimization – higher performance with pushdown to DB, auto-partitioning and runtime job execution optimization
      • Blaze – high performance execution engine on YARN for complex batch processing
      • Live Data Map – Universal metadata catalog for users to easily search and discover data properties, patterns, domain, lineage and relationships

      Register today for this deep dive and demo.

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