Play by Play is a series in which top technologists work through a problem in real time, unrehearsed, and unscripted. In this course, Play by Play: Understanding Salesforce Einstein Analytics, Carl Brundage and Don Robins explain and demonstrate the benefits of Einstein Analytics. Learn about ideal use cases for its application, how to configure and schedule replication with external data sources, and examples of debugging and troubleshooting Dataflow errors. By the end of this course, you’ll have gained some great perspective around how approachable Einstein Analytics is, and how you can leverage it for building Salesforce Business Intelligence solutions.
Don Robins is a well known Salesforce MVP, instructor, author, and speaker.
A custom business application developer for more decades than he cares to
admit, he focuses on Salesforce technical instruction and knowledge
Course Overview Welcome to this Salesforce Play by Play with Pluralsight. Salesforce Play by Play is an interactive series where we sit down with Salesforce experts such as MVPs, consultants, developers, and architects to discuss common challenges faced every day by Salesforce customers. We'll be learning while discussing concepts and debating tradeoffs on various approaches to solving real-world problems. We learn by reviewing system configurations or writing code, and then exploring the benefits of any particular solution. In this course, we challenge Carl Brundage, Salesforce certified technical architect, to explain and demonstrate the benefits of Einstein Analytics, formally known as Wave. Carl first clarifies exactly what Einstein Analytics is and identifies some ideal use cases for its application. He demystifies its terminology and compares and contrasts its core features to standard Salesforce reports and dashboards. You'll watch as he demonstrates the differences between using an out-of-the-box Einstein app versus building a solution from the ground up using the Einstein Analytics platform. You'll learn the basics of the platform as he chooses a datasource, builds datasets, shows how to configure and schedule replication with external datasources, and you'll even see examples of debugging and troubleshooting data flow errors. Along the way, we explore lenses, compare tables, and the Salesforce Analytics Query Language, also known as SAQL. You'll learn about enforcing user security, using extended metadata to build dashboards for KPI and chart displays, and you'll see how Einstein Analytics apps can be surfaced in both Lightning Experience and on mobile devices. By the time we're done, you'll have gained some great perspective around just how approachable Einstein Analytics is and how you can leverage it for building Salesforce business intelligent solutions in hours or days rather than weeks or months. So please join us for Understanding Salesforce Einstein Analytics. We hope you enjoy it.