Anudeep Chirumalla

Attunity Qlik, Three practical learning ways.

Data integration and management solutions are vital components of modern data architecture, and Attunity is a software vendor that provides data integration and management solutions. One of its flagship products is Attunity Replicate, which is a data replication and ingestion software. Meanwhile, Qlik is a data analytics and visualization platform used by organizations to derive insights from their data. In this blog post, we will dive deep into the Attunity Qlik integration, focusing on how it can benefit organizations and the practical learning that comes with using it.

Attunity Qlik allows organizations to integrate data from various sources into Qlik’s data analytics platform seamlessly. Attunity Replicate is used to extract data from source systems, transform it, and load it into Qlik. The process is done in real-time or near-real-time, ensuring that data is always up-to-date, which is crucial for organizations that rely on real-time data analysis.

Attunity Qlik supports a wide range of data sources, including relational databases, mainframes, cloud data platforms, and big data platforms. It also supports a range of data delivery methods, such as push and pull, batch and real-time, and CDC (Change Data Capture) and full loads. This flexibility makes it easy to integrate Attunity Qlik into existing data architectures.

Practical Learning with Attunity Qlik

One of the best ways to learn about Attunity Qlik is by using it in a practical setting. Here are some practical learning opportunities:

Replicate and Ingest Data

Using Attunity Replicate, you can replicate data from different sources and ingest it into Qlik. You can use Attunity Replicate’s GUI-based tool to create a data replication job, which will extract data from the source system and load it into Qlik. With Attunity Qlik, you can ingest data in real-time, allowing you to get insights as soon as the data is available.

Data Validation

Attunity Qlik provides data validation and integrity checks to ensure that data is accurate and consistent. To learn about data validation with Attunity Qlik, you can create a test scenario where you replicate data from a source system to Qlik, validate the data, and then compare it to the source system.

Performance Optimization

Attunity Qlik is designed to be fast and lightweight, allowing organizations to replicate and ingest data at scale. To optimize Attunity Qlik’s performance, you can test different data delivery methods, such as push and pull, batch and real-time, and CDC and full loads.

In conclusion, Attunity Qlik provides organizations with a powerful tool for integrating data into Qlik’s data analytics platform. With its support for a wide range of data sources and delivery methods, as well as its speed and ease of use, Attunity Qlik is a valuable addition to any data architecture. By using Attunity Qlik in a practical setting, organizations can learn more about its capabilities and optimize its performance for their specific needs.