Hands-On Einstein Analytics

This video user will create a dashboard and knows about dashboard and general properties. User will be given a business use case and based on that, he has to create a dashboard.

   •  Understand business use case

   •  Create a blank dashboard and use widgets

   •  Create charts and table, using datasets

This video covers filter widgets like toggle, list, and global widgets. User will be using dashboard created in the previous video. User will see how they can enable single and multiple selection for filters. User will also see, how to select initial/default value for filter.

   •  Analyze Drag and drop list, and toggle widgets on the dashboard

   •  Set default filter value

   •  Enable single and multiple selection and add date filter to dashboard

This video covers the dashboard properties and widget properties to enhance the user experience. We will be using same dashboard created in previous videos.

   •  Change the dashboard properties and fine tune the dashboard

   •  Go through general properties for bar chart

   •  Go through general properties for pie chart

In this video, we will revise the concept of Dataflow. We will go through the data sync aka replication. Understanding dataflow design and using dataflow editor UI.

   •  Understand Dataflow and the concept of data sync/replication

   •  Understand Dataflow design and get familiar with dataflow editor

   •  Create a dataflow and use sfdcDigest and sfdcRegister transformation

We will go through augment transformation and we will see how we can add and remove a field.

   •  Create a dataflow design

   •  Create augment node to join account and opportunity

   •  Add and remove fields from dataflow

In this video, we will be covering filter and compute expression.

   •  Add filter node and use filter expression to limit data

   •  Understand significance of compute expression

   •  Implement few use cases using compute expression and run dataflow

In this video tutorial, we will go through Edgemart transformation and slice dataset. We will go through the UI for dataflow scheduling.

   •  Add Edgemart node

   •  Add slice dataset transformation

   •  Schedule dataflow

This video covers data recipe concept and the UI for data recipe and its significance. We will create a dataset using data recipe tool.

   •  Understand data recipes

   •  Get familiar with data recipe tool

   •  Create a dataset

This video covers how to remove filters from dataset. We will go through the different type of bindings in Einstein Analytics. Later, we shall also create a sample dashboard for hands on and then see how faceting, broadcasting, and connecting data source work.

   •  Create a sample dashboard

   •  Understand and apply faceting and broadcasting

   •  Understand and connect to datasets using data sources

This video covers advances data binding options. User will understand the static steps and get familiar with dashboard JSON.

   •  Understand data binding functions

   •  Create static steps

   •  Go to dashboard JSON and use bindings

This video, we are going to understand the importance of embedding dashboard. Later, we will have hands on session for embedding dashboard to classic and lightning.

   •  Know the importance of embedding feature

   •  Embed dashboard to lightning

   •  Embed dashboard to classic

This video will give user a high-level overview of SAQL. We will use few use cases and implement it using SAQL.

   •  Understand why we need SAQL

   •  Implement use cases

This video explains how to enable Einstein Analytics for fresh Salesforce org. Also understand the user types and setup the EA org.

   •  Enable Einstein Analytics

   •  Create permission set

   •  Assign permission set to user

This video explains multiple ways to protect data in EA. We will also go through the security and sharing. We are going to implement sharing, data security, predicates, and so on.

   •  Understand sharing inheritance

   •  Share dashboard with users

In this video tutorial, we will go through the settings responsible for connecting to external data sources. We will create a Heroku database and connect to Salesforce.

   •  Sign up to Heroku

   •  Connect to Heroku

   •  Pull data from Heroku and create dataset

Create executive dashboard.

   •  Create executive dashboard

   •  Apply all the widgets and properties you have learnt so far