Optimizing data delivery to cloud platforms

When configuring Landing task settings, you can now fine-tune performance by controlling the frequency and the conditions under which changes will be applied to your target cloud data warehouses.

Landing data from data sources

New data lake targets for Replication projects

We are continuing to expand the supported targets for the Replication project in Qlik Cloud Data Integration, in addition to Amazon S3, you can now choose Azure Data Lake Storage (ADLS) and Google Cloud Storage (GCS) for data lake delivery, as Parquet, JSON or CSV file formats.

Landing data in a data lake

Entering database names manually instead of selecting from a list

This release adds support for entering database names manually to the following connectors:

Source connectors:

• Microsoft SQL Server (log based)
• Microsoft SQL Server (Microsoft CDC based)
• PostgreSQL

Target connectors:

• Azure Synapse Analytics Target
• Microsoft SQL Server Target

This enhancement is especially useful for customers with SQL Server based platforms as it eliminates the need to create the user on the master database (a requirement for selecting from a list).

In the coming weeks, this capability will be gradually extended to the other connectors.