The increasing size and complexity of data environments today is straining IT resources at most organizations today, reducing agility, and increasing the costs and challenges associated with maintaining the performance and availability of business-critical systems. To address these concerns, many IT departments are looking for ways to automate routine tasks and free up assets. The use of virtualization to accomplish these goals is growing. Likewise, the adoption of cloud solutions is becoming more and more commonplace.
Whether you are just getting your feet wet or already using virtualization and cloud solutions extensively, Virtualization Day is your opportunity to connect with the experts in New York City and advance your knowledge base. This unique event has all the bases covered:
Big Data presents challenges and opportunities for a wide range of activities, enterprises, and individuals. From complex data architectures, cloud storage, data analysis, and overall database management to the legal implications, information governance underpins Big Data analytics. The innovative uses of Big Data are exciting, but questions about data retention policies, securing your data (both big and small), ransomware, and compliance with legal systems in the U.S. and other countries shouldn’t be ignored.Linda G. Sharp, Associate General Counsel, ZL Technologies
Many IT departments are seeking ways to automate routine tasks and free up resources. Cloud represents a new way of approaching database management, potentially relieving enterprise data shops of many administrative burdens.
Cloud is everywhere, and the database administrator is caught in the middle. How do you know where to start and what to migrate first? How do you perform consolidation planning and ensure data security? This session builds on a full demonstration, along with tips and tricks to show how DBAs can secure their environments to allow a self-service option so they no longer are the constraints to projects.Kellyn Pot'Vin-Gorman, Technical Intelligence Manager for the Office of CTO, Delphix
Cloud solutions and services continue to be embraced for competitive advantage due to a variety of reasons. It is important to understand how the environment works today.
After 10 years of existence, the cloud industry would have you believe it is a mature, stable industry that is safe and secure to take your business to. Yet, the secret the insiders in the know is caveat emptor: Let the buyer beware. This presentation covers the state of the cloud today, lessons learned from the early adopters, the new role of cloud keeper, and what to know in advance to create a successful cloud deployment. It ends with a checklist you can use ensure you choose a cloud provider that can meet your needs.Michael Corey, Business & Technology Advisor
Data virtualization is an enabling technology that can help an organization address the need for a comprehensive view of its data, avoid the need to replace physical systems, and allow the business and IT sides to work closer together in a more agile fashion.
The data as a service (DaaS) approach enables provisioning of both internal and external assets that can readily be used in the decision-making process. DaaS enables transformation and delivery of the raw data into meaningful data assets for multiple business initiatives in an organization. Attend this presentation to learn how Guardian Life has successfully created a data marketplace using data virtualization to deliver real-time trusted data assets. Learn how this approach reduces risks from data silos that contribute to wrong decisions and serves the right data with the right context at the right time, enabling monetization of data assets by serving necessary data to both internal and external stakeholders.Alex Rosenthal, Assistant VP, Guardian Life Insurance
Virtualization and cloud can provide an approach to abstract data from its sources of origin so that all data environments are opened up to access, including RDBMSs, NoSQL database systems, storage systems, and newer Big Data systems such as Hadoop and Spark.
Covering best practices and architecture for building a data lake in the cloud, this talk outlines some common assumptions and blind spots related to the implementation, that, once addressed, can dramatically increase data enablement across an organization. Focus areas include components of the data lake, the value of governed data, and best practices for architecture, as well as technology and deployment.David Stevens, IBM Analytics—Competitive & Product Strategy Governance & Data Lake SME, IBM
The “Big Data era” has ushered in an avalanche of new technologies and approaches for delivering information and insights to business users. What is the role of the cloud in your analytical environment? How can you make your migration as seamless as possible? This closing keynote, delivered by a prominent consultant who has helped many global enterprises adopt Big Data, provides the inside scoop you need to supplement your data warehousing environment with data intelligence—the amalgamation of Big Data and business intelligence.Joe Caserta, CEO and Founder, Caserta Concepts