Tables Overview

Tables are the lowest level of data configuration in Data Builder. Here we will describe what they are for and when they are used.
Beginner
March 15, 2024

Tables are the lowest level of data configuration in Data Builder. They describe the layout and data type for the datasets used in Models.

All data coming to Datasphere needs to pass through a table before it can be further configured.

Tables can persistently store data from data sources on Datasphere or let data pass through the table configuration in real time without the data being stored. Tables can be created using separate manual processes or generated automatically by a dataset.

To create a table:

1

In the Navigation Bar in Datasphere, select Data Builder.

2

Select New Table.

General

In the tables General area you can set the:

Business Name

This is the visible name that general users will see. This name can contain spaces and special characters.

Technical Name

This is the unique ID of the table, and cannot have spaces or special characters.

Semantic Usage

This defines how a table is expected to behave, and includes:

  • Relational Dataset
  • Dimension
  • Text
  • Hierarchy
  • Fact
Delta Capture

When on, it will store changes to the data each time data is changed.

Columns/Attributes

In the Column or Attribute section, you can create the table structure.

  • New columns are created by clicking the Add Column button.
  • Checking the Key column will set it as part of the primary unique key for the table.
  • More than one column can be set if a compound key is required.
  • Each Column will have a Business and a Technical Name.
  • Data Type: Sets the type of data that can be used in a column.
  • Checking Not Null will ensure that bank values cannot be added to a column.

Save and Deploy

  • Saving the table will add the table to the list in Data Builder.
  • Deploying the table will make it active, so its saved configuration can be used in other applications.
  • Data Viewer: Shows any data that is persistently stored within Datasphere.

Learning Path

Enroll Today!

This learning path would be a great starting place if you want to learn more about the topics covered in this article.

Learning Path Thumbnail

Next

Next Article

Previous

Previous Article

See What's New

Featured Articles

Our most recent and proudest works, ready to make your life a little bit easier.

SAP Analytics Cloud

SAC Key Features & Capabilities

Let’s learn about the key features and capabilities of SAP Analytics Cloud.

Datasphere

Creating a Space

Spaces are the areas where all data is retrieved, prepared and modeled. This article will walk you through creating a space in Datasphere.

SAP Analytics Cloud

Adding a Table (Datasphere Dataset)

Learn how to insert a table based on an existing SAP Datasphere dataset.

Curated For You

Article Recommendations

Here are some articles handpicked by our experts to help you continue your learning journey.

Datasphere

Creating a Space

Spaces are the areas where all data is retrieved, prepared and modeled. This article will walk you through creating a space in Datasphere.

Datasphere

Managing Space Storage

A space could be allocated with either too much storage and memory or too little. In this article, we will look at how to gauge this and walk through correcting it.

Datasphere

Setting Up External Database Access in a Space

You may require your data and models to be accessed externally, by third-party BI products. The first stage is to create Database Users.
New SAP Boosters!

Learn all about user and data security in SAP Analytics Cloud as well as SQL scripting in SAP Datasphere.

Contact Us

Reach out if you have any questions or to see how we can create a custom training solution for your organization!

Contact Form Pop-Up - General Use

Custom Training Solution

Fill out and submit the form below, and we’ll reach out to you to discuss how we can work toward achieving your training goals in a way that works best for you and your team.

Contact Form - Custom Training