Businesses today are driven to adopt big data technologies for their analytics for a number of reasons: There are new types of data sources that are not handled by the existing data warehouses; there is a growth in data velocity and data volumes that becomes prohibitive to process using existing data warehouses; or there are different types of analytics not supported by existing infrastructure, to name a few.
Current data warehouse technologies are increasingly challenged to handle the growth in data volume, new data types, and multiple analytics types. Hadoop has the potential to address these issues, but you need to solve several complexities before you can realize its full benefits. Amar Arsikere showcases the business and technical aspects of augmenting and modernizing data warehouses on Hadoop. Amar focuses on a customer’s journey through business justification and data architecture. Along the way, he shares lessons learned and highlights potential roadblocks and strategies for addressing them, as well as cost/benefit information so that you can justify using Hadoop as a platform to augment data warehouses.
This session is sponsored by Infoworks.
Amar Arsikere is the founder and CEO at Infoworks.io. Previously, Amar built several large scale data systems on Bigtable and Hadoop at Google and Zynga. At Zynga, he also led the design and deployment of the gaming database, the largest in-memory database in the world built at that time. At Google, he pioneered the development of data warehousing platform on Bigtable. Amar is a recipient of InfoVision award from IEC and the Jars Top 25 award and holds several patents in the field of software and Internet technologies.
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