To date, most Big Data and Hadoop use cases have focused on ETL and batch analytics. However, there is a new class of Big Data use cases emerging: powering real-time applications and analytics. 

 
New SQL-on-Hadoop technologies enable real-time, interactive queries on Hadoop. In other cases, RDBMS technology is being married to the scale-out technology of Hadoop to enable reliable real-time updates. 
 
In this webcast, Rich Reimer, head of product management for a Hadoop database will explain how real-time analytics and applications running on Hadoop can transform your business. Attend this webcast to: 
 
• Increase your knowledge of SQL-on-Hadoop solutions and learn when it makes sense to use them for database replacements and data warehouse offloads 
• Learn how you can speed up response times by 3x-10x while reducing costs by 75 percent compared with traditional RDBMSs 
• Get expert advice to avoid common pitfalls when migrating from existing databases 
• Learn best practices on how to support real-time applications on your Hadoop deployment 
 
Join us as we discuss replacing traditional RDBMSs (e.g., Oracle and MySQL) struggling to scale for real-time applications, how Big Data scale-out technology enables new applications, and issues that arise when migrating from existing databases and how to avoid them. 

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18:00 - 19:00 hs GMT+1

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DataInformed
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