Recorded February 2017
As the Big Data trend continues to grow, the differences between data lakes and data warehouses and how they can work together is becoming more critical. When making decisions on how to manage your data, it can be confusing to determine when data lakes and data warehouses are right for each of your applications. BlueGranite would like to help you gain a better understanding on the differences between data lakes and data warehouses, as well as share information on how to choose when each solution will work best.
You can view the recording of our webinar below! After watching, be sure to check out our blog post with a summary of the Q&A session.
Gain an understanding of the differences between data lakes and data warehouses
Review what types of technology work best with data lakes and data warehouses
Josh is passionate about enabling information workers to become data leaders. His passions in the data space include: Modern Data Warehousing, unstructured analytics, distributed computing, and NoSQL database solutions.
Check out Josh's LinkedIn profile at www.linkedin.com.
Senior Solutions Consultant
For over ten years, Merrill has helped organizations all across the US integrate and understand their data. He has blended backgrounds in Business Intelligence, ETL Development, Database Administration, Building Architecture, 3D Modeling and Animation, and Swedish.
Check out Merrill's LinkedIn profile at www.linkedin.com.