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What is a Data Pipeline?

Grouparoo

As a result, data has to be moved between the source and destination systems and this is usually done with the aid of data pipelines. What is a Data Pipeline? A data pipeline is a set of processes that enable the movement and transformation of data from different sources to destinations.

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Exploring The Evolution And Adoption of Customer Data Platforms and Reverse ETL

Data Engineering Podcast

Acting as a centralized repository of information about how your customers interact with your organization they drove a wave of analytics about how to improve products based on actual usage data. In this episode Tejas Manohar and Rachel Bradley-Haas share the story of their own careers and experiences coinciding with these trends.

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ETL Testing Process

Grouparoo

The testing process is often performed during the initial setup of a data warehouse after new data sources are added to a pipeline and after data integration and migration projects. ETL testing can be challenging since most ETL systems process large volumes of heterogeneous data.

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15+ Must Have Data Engineer Skills in 2023

Knowledge Hut

Let us take a look at the top technical skills that are required by a data engineer first: A. Technical Data Engineer Skills 1.Python Python is ubiquitous, which you can use in the backends, streamline data processing, learn how to build effective data architectures, and maintain large data systems.

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Open Source Reverse ETL For Everyone With Grouparoo

Data Engineering Podcast

StreamSets DataOps Platform is the world’s first single platform for building smart data pipelines across hybrid and multi-cloud architectures. Build, run, monitor and manage data pipelines confidently with an end-to-end data integration platform that’s built for constant change.

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Why a Streaming-First Approach to Digital Modernization Matters

Precisely

How can an organization enable flexible digital modernization that brings together information from multiple data sources, while still maintaining trust in the integrity of that data? Court documents and case dockets were stored on a mainframe system, where they were inaccessible to the public at large.

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Using Kappa Architecture to Reduce Data Integration Costs

Striim

In conclusion, kappa architectures have revolutionized the way businesses approach big data solutions – allowing them to take advantage of cutting edge technologies while reducing costs associated with manual processes like ETL systems. Striim users can also see cost reduction of over 90% when using its smart data pipelines.