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TIBCO Spotfire: A Comprehensive Primer

You're reading from   TIBCO Spotfire: A Comprehensive Primer Building enterprise-grade data analytics and visualization solutions

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Product type Paperback
Published in Apr 2019
Publisher
ISBN-13 9781787121324
Length 578 pages
Edition 2nd Edition
Tools
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Authors (2):
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Michael Phillips Michael Phillips
Author Profile Icon Michael Phillips
Michael Phillips
Andrew Berridge Andrew Berridge
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Andrew Berridge
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Table of Contents (18) Chapters Close

Preface 1. Section 1: Introducing Spotfire FREE CHAPTER
2. Welcome to Spotfire 3. It's All About the Data 4. Impactful Dashboards! 5. Sharing Insights and Collaborating with Others 6. Section 2: Spotfire In Depth
7. Practical Applications of Spotfire Visualizations 8. The Big Wide World of Spotfire 9. Source Data is Never Enough 10. The World is Your Visualization 11. What's Your Location? 12. Section 3: Databases, Scripting, and Scaling Spotfire
13. Information Links and Data Connectors 14. Scripting, Advanced Analytics, and Extensions 15. Scaling the Infrastructure; Keeping Data up to Date 16. Beyond the Horizon 17. Other Books You May Enjoy

In-memory versus in-database analytics

Spotfire supports in-memory and in-database analytics. So far in this book, we have only been using in-memory data and analytics. Spotfire's in-memory data engine is highly optimized for working with small, medium, and large datasets, but eventually, your computer is likely to run out of memory if you have very large datasets. People often ask me: how large is a very large dataset? Or how much data can Spotfire work with in-memory? For me, this is one of the most difficult questions to answer!

It really depends on how many rows and how many columns of data you are working with. I generally find that the Spotfire in-memory data engine can handle hundreds of millions of rows of data with tens of columns, or hundreds of thousands of rows with thousands of columns. If a dataset is bigger than that, then I recommend using in-database analytics...

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