New connection types to come! Get an overview on all connection types and the features they support here: Connection Types
You can now connect to Amazon Athena and Google Big Query. Both connection types support view building and remote tables. For more information, see Amazon Athena and Google Big Query.
You want to access and replicate employee-related data? Here's a new connection type for SAP SuccessFactors for Analytical Dashboards. With the connection type, you get access to selected entities for CFO Dashboard restricted through a specific servic group. The connection type supports view building and remote tables. For more information, see SAP SuccessFactors for Analytical Dashboards.
Many of the existing connections types already support data flows. Moreover, we offer new connection types for data flows. For more information, see Amazon Simple Storage Service, Amazon Redshift, Hadoop Distributed File System, Google Cloud Storage, and Microsoft Azure Data Lake Store.
You can now find all the executed data flows per space in the Data Flow Monitor. Here, you can view and monitor the execution details of the data flows.
For more information, see Monitoring Data Flows.
In the Data Builder, using data flow, you can now model the flow of data from source to target. You can add tables and views from your space as source. You can also add tables or files from remote connections.
Once you have added the source operator to the data flow, you can perform a series of data transformations by adding the operators. You can then choose a table from your space as the target operator.
For more information, see Creating a Data Flow.
When you create an SQL view, the editor offers now the possibility to do it in two ways: either you create a standard SQL view using the language SQL (Standard Query), or your prefer to write the body of your script and you select the new language SQL Script (table function). This new language allows you to write the body of your script using a RETURN statement.
For more information, see Creating an SQL View.
Allow other teams to use your object by sharing it with in their space. For more information, see Sharing Objects across Spaces.
Set default values for your columns and choose whether you allow null values or not. For more information, see Creating a Table.
In the Data Builder the list of files/objects is now sorted by Most relevant for you. Initially the list is sorted by criteria associated with your user name: Changed On or Created On.
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