Competition in the modern business world is quite tough and is growing every day. At the same time, the need to quickly draw the right conclusions and make decisions is growing. Qlik Data Integration automates data ingestion, streaming, cataloging, and publishing in real-time mood for Microsoft Azure Data Services. As a result, users can use analytical data and conduct efficient activities.

Microsoft Azure is a cloud platform that provides the ability to develop, run applications and store data on servers located in distributed data centers. The platform is a combination of IaaS computing infrastructure solutions (OS, data storage, servers) and a set of tools and services that facilitate cloud applications development and deployment (PaaS).

What does Qlik Data Integration allow?

1. Data warehouse automation

The data integration platform automates the entire Azure Synapse lifecycle, from the creation of a data warehouse to the time it is retired. This provides users with quick access to ready-made analytical data.

2. Managed Data Lake Creating

Building updatable and analytics-ready data lakes (ADLS and Azure Databricks) is possible with Qlik Data Integration. The Qlik Integration Platform provides data management automation for Azure Data Lake Storage Gen2 and Azure Databricks. Tools that find, manage, and analyze different datasets increase the reliability of data throughout the pipeline.

3. Streaming Change Capture (CDC Streaming)

The Qlik Data Integration platform uses CDC (Change Data Capture) to efficiently deliver analytics-ready data from multiple sources to data warehouses, data lakes, streaming and cloud platforms by rapidly moving them to the Microsoft data platform.

DataLabs is a Qlik Certified Partner. A high level of team competence and an individual approach allows to find a solution in any situation. You can get additional information by filling out the form at the link

Previous #fridaypost “Qlik and Google Cloud Platform”