Data Warehouse Augmentation: Cut Costs, Increase Power

Presented by

Pradeep Varadan and Scott Gidley

About this talk

The data warehouse (DW) is one of the most effective tools for complex data analytics. But the downside is… it can drain your budget. How do you maximize the value of your DW and save on storage costs? Don't clog your DW's analytics bandwidth with less valuable storage and ETL processing. Those in the know are migrating storage and large-scale or batch processing to data lakes built on scale-out architectures such as Hadoop and the Cloud to save on costs and get increased processing power for the DW. Pradeep Varadan, Verizon's Wireline OSS Data Science Lead and Scott Gidley, Zaloni's VP, Product Management, discuss the benefits of augmenting your DW with a data lake. They also address how migrating to a data lake allows you to efficiently exploit original raw data of all types for data exploration and new use cases. Topics covered include: - Reducing storage costs - Increasing process speeds - Maximizing EDW for business intelligence - Extending data retention and extracting more value from all data About the Speaker: Pradeep Varadan is a data scientist and enterprise architect who specializes in data challenges within telecommunications. As the Wireline OSS Data Science Lead at Verizon Data Services, Pradeep is tasked with providing a competitive edge focused on utilizing data analytics to drive effective decision-making. He is skilled in creating systems that can be used to understand and make better decisions involving rapid technology shifts, customer lifestyle and behavior trends and relevant changes that impact the Verizon Network.

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