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Integration

How Kensu's Integration with Matillion empowers data teams to deliver reliable data

It’s a common thread amongst data-driven organizations: data teams face soaring volumes of data with varying complexities, which raise issues regarding data reliability. Efficiently monitoring data pipelines has become paramount to swiftly identifying and addressing potential data incidents, ensuring minimal impact on data practitioners and end users.

Setting data in motion with Qlik Data Integration and Confluent Cloud

Qlik and Confluent have joined forces to help businesses accelerate their data delivery and gain a competitive edge. Qlik has joined the Connect with Confluent partner program to help organizations accelerate the development of real-time applications through a native integration with Confluent Cloud. Now our joint customers have the best experience for working with data streams, paving a faster path to powering next generation customer experiences and business operations with real-time data.

Data Lake ETL: Integrating Data From Multiple Sources

Utilizing big data is one of the biggest assets your organization can use to stay ahead of the competition. Even though big data continues to grow, most organizations have yet to leverage its capabilities fully. Why? Because millions of data sources exist on the internet and physically. Ingesting and integrating this data can quickly become overwhelming. With data lakes, you can integrate raw data from multiple sources into one central storage repository.

Data Integration Trends to Watch in 2023

In today's "Big Data" world, data integration is a critical business process. With the exponential growth of information seen in enterprises all over the globe and increasingly competitive marketplaces, there is a real need to consolidate and analyze business data. Big Data is made up of large amounts of information from many sources: customer interactions, Internet of Things (IoT) devices, mobile apps, SaaS cloud services, and more.