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What is a Data Pipeline?

Grouparoo

This includes the different possible sources of data such as application APIs, social media, relational databases, IoT device sensors, and data lakes. This may include a data warehouse when it’s necessary to pipeline data from your warehouse to various destinations as in the case of a reverse ETL pipeline.

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ETL Testing Process

Grouparoo

Today, organizations are adopting modern ETL tools and approaches to gain as many insights as possible from their data. However, to ensure the accuracy and reliability of such insights, effective ETL testing needs to be performed. So what is an ETL tester’s responsibility? Data quality testing.

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15+ Must Have Data Engineer Skills in 2023

Knowledge Hut

Data Pipelines Data lakes continue to get new names in the same year, and it becomes imperative for data engineers to supplement their skills with data pipelines that help them work comprehensively with real-time streams, daily occurrence raw data, and data warehouse queries.

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5 Reasons Why ETL Professionals Should Learn Hadoop

ProjectPro

If you encounter Big Data on a regular basis, the limitations of the traditional ETL tools in terms of storage, efficiency and cost is likely to force you to learn Hadoop. Reason Two: Handle Big Data Efficiently The emergence of needs and tools of ETL proceeded the Big Data era.

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Reverse ETL to Fuel Future Actions with Data

Ascend.io

The last three years have seen a remarkable change in data infrastructure. ETL changed towards ELT. Now, data teams are embracing a new approach: reverse ETL. Cloud data warehouses, such as Snowflake and BigQuery, have made it simpler than ever to combine all of your data into one location.

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What is ETL Pipeline? Process, Considerations, and Examples

ProjectPro

That's where the ETL (Extract, Transform, and Load) pipeline comes into the picture! Table of Contents What is ETL Pipeline? First, we will start with understanding the Data pipelines with a straightforward layman's example. Now let us try to understand ETL data pipelines in more detail.

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