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Automating Big Data Technologies for Faster Time-to-Value


Big data technologies can be extremely complex and require manual operation. If you can intelligently automate your Big Data operations then you can lower your costs, make your team more productive, scale more efficiently, and lower the risk of failure. Demandbase, creator of a targeting and personalization platform for business-to-business (B2B) companies, uses Qubole and a data lake on AWS to reduce the management complexities and costs of processing and analyzing their data. Hear how Qubole empowers Demandbase to analyze trillions of rows of structured and unstructured data in real time, making their data scientists and data engineers productive since day one.

Join our on-demand webinar to learn:
  • How to dramatically reduce management complexities for analytics operations.
  • How to reduce the costs of processing and analyzing data in a data lake on AWS.
  • How to operate at the scale and efficiency of large enterprises, with a small data team
When: Available On Demand (please register to view)

Who Should Attend:
Data Engineers, ETL Engineers, and Data Scientists who are concerned about workload performance, having access to data quicker for experimentation, cluster utilization, and concurrency, and other analytics-related frustrations should attend this webinar.

AWS Speaker: David Potes, Solutions Architect

Qubole Speaker: Minesh Patel, Technical Director

Customer Speaker: Seth Myers, Sr. Data Scientist, Demandbase