Working with Data and Dashboards in Einstein Analytics (ANC301), 15 – 17 May, Berlin

May 15, 2019
May 17, 2019 (All day)
Fast Lane Institute for Knowledge Transfer GmbH, Oranienburger Straße 66 10117 Berlin   View map

Duration: 3 Days
Format: Instructor-led classroom course
Price: €2,175
Language: German

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Event Details


If your responsibilities include developing a Wave environment that contains Salesforce and external data, setting up Wave data security, and creating attractive and effective dashboards that require advanced queries, taking this class will boost your skills to the next level. In this 3-day instructor-led course, you will learn how to set up users in Wave, load and transform Salesforce and external data in Wave with JSON metadata files, and configure data security with apps and row-level security. You will also learn how to apply desktop and mobile layouts to dashboards using the Wave Dashboard Designer, modify dashboard queries by updating compact form and SAQL queries, and update metadata with an XML file.

Who should take this course?

Working with data and dashboards in Wave Analytics is ideal for integration specialists who want to learn more about connecting and securing data in Wave. This course is also great for business analysts or developers interested in creating advanced dashboards.

When you Complete this course, you will be able to:

Determine your user, data, and security requirements, and establish a development process.
• Set up apps and control what users can do in Wave Analytics by assigning them permission set licenses, permission sets, and app permissions.
• Load an external CSV file to Wave, configure data replication schedules, and create and run JSON dataflow files to load Salesforce data and combine it with data from existing datasets.
• Understand and implement data security in Wave and override security for implementation and testing.
• Apply a Wave Analytics layout template to a dashboard and create a mobile dashboard layout.
• Explain the limitations of filters in lenses and dashboards, and overcome these through UI settings and modifying the compact form query.
• Explain the process of dashboard queries and modify a SAQL query to meet many analytic requirements.
• Create and upload an XMD file to modify a dataset’s metadata.


Salesforce knowledge, including: navigation, schema, security models, users, profiles, and permission sets. In addition, students should be proficient in Wave data exploration, building Wave dashboards with the UI, and basic JSON.

Salesforce ANC301 Data Sheet [PDF 287KB]

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