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You're reading from  Tableau Cookbook - Recipes for Data Visualization

Product typeBook
Published inDec 2016
PublisherPackt
ISBN-139781784395513
Edition1st Edition
Tools
Tableau
Concepts
Business Intelligence
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Author (1)
Shweta Sankhe-Savale
Shweta Sankhe-Savale
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Shweta Sankhe-Savale

Shweta Sankhe-Savale is the Co-founder and Head of Client Engagements at Syvylyze Analytics (pronounced as "civilize"), a boutique business analytics firm specializing in visual analytics. Shweta is a Tableau Desktop Qualified Associate and a Tableau Accredited Trainer. Being one of the leading experts on Tableau in India, Shweta has translated her experience and expertise into successfully rendering analytics and data visualization services for numerous clients across a wide range of industry verticals. She has taken up numerous training as well as consulting assignments for customers across various sectors like BFSI, FMCG, Retail, E-commerce, Consulting & Professional Services, Manufacturing, Healthcare & Pharma, ITeS etc. She even had the privilege of working with some of the renowned Government and UN agencies as well. Combining her ability to breakdown complex concepts, with her expertise on Tableau's visual analytics platforms, Shweta has successfully trained over a 1300+ participants from 85+ companies.
Read more about Shweta Sankhe-Savale

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Working with Tableau Extracts

As discussed in our first chapter, there are two options of connecting to our data, namely, Live and Extract. With the Live option, Tableau connects directly to our data and maintains a Live' connection with the data source. In Live connection, Tableau leverages the capabilities of our data source and hence the speed of our data source will determine the performance of our analysis. Whereas, the Extract option helps us import the entire data or subset of our data into Tableau's fast data engine as an Extract. This basically creates a .tde file which stands for Tableau Data Extract.

So far we have used the Live connect option for connecting to our data sources. However, in this section, we will focus on the Extract option.

Typically, Extracts are used for the following reasons:

  • Improving performance: If the data source speed is hampering the performance of our analysis, then we can use an Extract. This could be the case when connecting to flat files such as Excel...

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Tableau Cookbook - Recipes for Data Visualization
Published in: Dec 2016Publisher: PacktISBN-13: 9781784395513
© 2016 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Shweta Sankhe-Savale

Shweta Sankhe-Savale is the Co-founder and Head of Client Engagements at Syvylyze Analytics (pronounced as "civilize"), a boutique business analytics firm specializing in visual analytics. Shweta is a Tableau Desktop Qualified Associate and a Tableau Accredited Trainer. Being one of the leading experts on Tableau in India, Shweta has translated her experience and expertise into successfully rendering analytics and data visualization services for numerous clients across a wide range of industry verticals. She has taken up numerous training as well as consulting assignments for customers across various sectors like BFSI, FMCG, Retail, E-commerce, Consulting & Professional Services, Manufacturing, Healthcare & Pharma, ITeS etc. She even had the privilege of working with some of the renowned Government and UN agencies as well. Combining her ability to breakdown complex concepts, with her expertise on Tableau's visual analytics platforms, Shweta has successfully trained over a 1300+ participants from 85+ companies.
Read more about Shweta Sankhe-Savale

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