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Analyzing Data from Different Sources with Sisense

by Vitthal Srinivasan

This course will teach you how to leverage Sisense data models - both ElastiCubes as well as live models - in order to pull together curated datasets for use in your Sisense dashboards.

What you'll learn

Most large organizations will have data stored in different locations and formats, and these will often need to be brought together for meaningful analysis. In this course, Analyzing Data from Different Sources with Sisense, you’ll learn to load and combine data from several sources before analysis can be performed, and how to do this with both dominant data models in Sisense - ElastiCubes, as well as live models. First, you’ll explore the different types of sources from which data can be brought into Sisense. Next, you’ll discover various techniques to combine related data from different sources. Finally, you’ll learn how to work with live data in Sisense. When you’re finished with this course, you’ll have the skills and knowledge of connecting to and combining data from multiple sources needed to perform a thorough and all-round analysis of your business data using Sisense.

About the author

Vitthal has spent a lot of his life studying - he holds Masters Degrees in Math and Electrical Engineering from Stanford, an MBA from INSEAD, and a Bachelors Degree in Computer Engineering from Mumbai. He has also spent a lot of his life working - as a derivatives quant at Credit Suisse in New York, then as a quant trader, first with a hedge fund in Greenwich and then on his own, and finally at Google in Singapore and Flipkart in Bangalore. In all these roles, he has written a lot of code, and b... more

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