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Learning Salesforce Einstein

You're reading from   Learning Salesforce Einstein Add artificial intelligence capabilities to your business solutions with Heroku, PredictiveIO, and Force

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787126893
Length 334 pages
Edition 1st Edition
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Author (1):
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Mohit Shrivatsava Mohit Shrivatsava
Author Profile Icon Mohit Shrivatsava
Mohit Shrivatsava
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Table of Contents (10) Chapters Close

Preface 1. Introduction to AI FREE CHAPTER 2. Role of AI in CRM and Cloud Applications 3. Building Smarter Apps Using PredictionIO and Heroku 4. Product Recommendation Application using PredicitionIO and Salesforce App Cloud 5. Salesforce Einstein Vision 6. Building Applications Using Einstein Vision and Salesforce Force.com Platform 7. Einstein for Analytics Cloud 8. Einstein and Salesforce IoT Cloud Platform 9. Measuring and Testing the Accuracy of Einstein

Wave Analytics SAQL, XMD 2.0, and dataset Row-Level Security

In this section, we will briefly discuss Salesforce Analytics Query Language (SAQL) used in lenses and dashboards, and how one can use XMD 2.0 to customize and enhance the dashboards. At the end of this section, we will cover how one can add Row-Level security to the Analytics Cloud dataset.

Salesforce Analytics Query Language

We have seen the creation of lenses and dashboards. Behind the scenes, these use Salesforce Analytics Query Language for aggregating, filtering, grouping, ordering, and other operations. We will not cover the introduction to this language and how to debug it; for an in-depth understanding, it is recommended to refer to the official documentation...

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