MapR Technologies, Inc., the Hadoop technology leader, today announced it will present sessions about Big Data and Hadoop at leading industry conferences in April, including Cloud Connect Conference, Big Data TechCon, Big Data Innovation Summit & Hadoop Innovation Summit and the Open Source Business Conference (OSBC).
Cloud Connect Conference
When: Friday, April 5 at 9:00 am
Where: Santa Clara Convention Center, Santa Clara, CA
What: "Big Data Lessons from the Cloud," presented by Jack Norris, MapR's VP of marketing, who will provide insights into how organizations are using Hadoop in the cloud and highlight success stories of customers who are leveraging Amazon Web Services and Google infrastructures.
Visit here for more information on Cloud Connect Conference.
Big Data TechCon
When: Wednesday, April 10 at 3:45 pm
Where: Hyatt Regency Cambridge, Cambridge, MA
What: "Running Mission Critical Applications on Hadoop," presented by Dave Jespersen, MapR's chief customer advocate, who will look at what is involved when Hadoop is moved from a lab environment to actual deployment in production. Jespersen will cover critical enterprise-grade features like data integration, data protection, business continuity and high availability, and discuss the ways attendees can accomplish this in their environment. He will also identify potential stumbling blocks, identify what a platform can or can't provide, and help determine the scope and level of customization necessary to make deployment successful. Jespersen will also participate in a Fireside Chat as a panel participant discussing MapReduce and Hadoop on Tuesday, April 9 at 7:15 pm.
Visit here for more information on Big Data TechCon.
Big Data Innovation Summit & Hadoop Innovation Summit
When: Friday, April 12 at 9:00 am
Where: Westin St. Francis on Union Square, San Francisco, CA
What: "One Platform for all Big Data Analytics," will be presented by MapR's Director of Product Management, Tomer Shiran. Until recently, a defining characteristic of Big Data platforms has been that they are highly specialized. Hadoop didn't deal well with ad hoc queries, relational engines couldn't handle scale, NoSQL and search engines couldn't handle SQL and none of the common platforms could really combine real-time and long-time analyses. Solutions are emerging, however, that allow all of these capabilities to be supported by a single platform. This session will show attendees how one such platform could provide an answer to all Big Data questions.
Visit here for more information about the Big Data Innovation Summit & Hadoop Innovation Summit.
Open Source Business Conference (OSBC)
When: Monday, April 29 at 3:00 pm
Where: Hyatt Regency San Francisco, San Francisco, CA
What: "Building Large Scale Enterprise Databases with ANSI SQL capabilities over Hadoop," presented by Tomer Shiran, MapR's director of product management, who will provide insights into how Hadoop delivers a technology platform that not only stores and processes batch oriented large-scale data sets but also enables indexing and quick retrieval of loosely structured Big Data using standard SQL queries. Specifically, the session will cover details on HBase, the NoSQL database over Hadoop, and Apache Drill, the project that is designed to deliver full ANSI SQL capability for large-scale datasets. Different sets of use cases including recommendation engines, fraud detection and billing applications will be discussed to bring to life what these technologies offer for any enterprise. The session will end with best practices for building an enterprise-grade Hadoop platform that can support these technologies in production.
Visit here for more information about the Open Source Business Conference.