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Maintain Your Data Architecture Designer Certification for Spring '19

Learning Objectives

After completing this unit, you’ll be able to:

  • Describe key features available in Data Architecture Design as of Spring ’19.

Salesforce Certification—Special Maintenance Policy

If you currently hold the Salesforce Data Architecture and Management Designer credential, you do not need to complete this module by the previously posted April 10th certification maintenance deadline. Instead, your Salesforce certification will automatically be maintained into the next release cycle.

There is no action required, and your certification will not expire. Your certification status will be updated by April 10, 2020. We'll send you an email confirmation to let you know when we've updated your status.

Of course, we know you want to keep your skills up to date and learn about the latest features. This module contains lots of great info about the latest release, which you can explore without worrying about deadlines. Salesforce introduced a number of great feature enhancements. Let’s take a look at some of the more important ones.

About Data Architecture Design

The Salesforce Certified Data Architecture and Management Designer is knowledgeable about information architecture frameworks covering major building blocks, such as data sourcing, integration/movement, persistence, master data management, metadata management and semantic reconciliation, data governance, security, and delivery. The candidate also has experience assessing customers' requirements in regards to data quality needs and creating solutions to ensure high-quality data (e.g., no duplicates, correct data) and can also recommend organizational changes to ensure proper data stewardship. The candidate has experience communicating solutions and design trade-offs to business stakeholders.

Understand the Impact of Each Predictor in Your Model

With Spring ’19, Einstein gives you an impact score for each predictor. After a prediction is finished building, find it in your predictions list and select View Scorecard from the action menu.

This feature is available to admins with the Einstein Analytics Plus, or Einstein Predictions license. 

Update to Retention Limit for Field History Data

Salesforce guarantees that it will retain your field history data for up to 18 months through your org, and up to 24 months via the API. As announced in Winter ’19, starting in Spring ’19, we begin the process of removing field history data older than 24 months. Because of the rolling nature of mass deletes, the data might still be available for some time after Spring ’19.

Create Custom Big Objects from Setup

A big object stores and manages a massive amount of data natively on the Salesforce platform. You can archive data from other objects or bring massive datasets from outside systems into a big object to get a full view of your customers. Big objects provide consistent performance, whether you have 1 million records, 100 million, or even 1 billion. Previously, creating a big object required using Metadata API. But now, if you aren’t comfortable using the API, you can create a big object in Setup, define its fields, and build the index that defines how the big object is queried.

Learn More from Your Reports with Einstein Data Insights (Generally Available)

Reports show you data, but what does the data mean? Wonder no more! Introducing Einstein Data Insights: a smarter report. Einstein analyzes report data and summarizes key takeaways, comparisons, and trends with insightful charts and metrics. It’s one-click data science!

Einstein Data Insights extends your reports with AI to help you discover new and useful insights about your data. To view an insight, you need the “Can Run Einstein Data Insights” user permission that’s included in the Einstein Analytics Plus license.

This change applies to Einstein Analytics in Lightning Experience. Einstein Analytics and Einstein Data Insights are available for an extra cost in Enterprise, Performance, and Unlimited Editions. (Also available in Developer Edition.)

Custom Metadata: Configure Default Field Values with Custom Metadata Types

Reference a custom metadata type record in a default value to simplify updating fields. If the default field value needs to be changed, you can update it in the referenced custom metadata field value, instead of updating multiple field references. It makes it easier to change the default value for multiple fields.

This change applies to Lightning Experience and Salesforce Classic in Professional, Enterprise, Performance, Unlimited, Developer, and editions. Professional Edition orgs can create, edit, and delete custom metadata records only from types in installed packages.