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What is Zero ETL? Components, Benefits How Does it Work

Astera

This process also eradicates the need for intermediate data storage in a staging area. So, let’s dig further and see how zero-ETL works and how i t can b e beneficial in certain data management use cases. Keep in mind that zero-ETL is not a technology but rather a philosophy and approach to data integration.

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What Is Change Data Capture (CDC): Methods, Benefits, and Challenges

Astera

What is Change Data Capture? Change Data Capture (CDC) is a technique used in data management to identify and track changes made to data in a database, and applying those changes to the target system. Delivery : After data storage, there may be a need to deliver this information to downstream systems.

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Upcoming DevOps Trends for 2021

Whizlabs

Now, DevOps teams will gradually shift towards business monitoring rather than application or infrastructure monitoring. Conventionally, development teams have followed the top-down approach for shifting their data to the cloud. However, now DevOps teams will continue to participate more in the data strategy process.

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Enterprise Data Management: Strategy, Benefits, Best Practices

Astera

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Why is Enterprise Data Management Important?

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What Is Data Governance and Why It Matters?

Astera

Data governance refers to the strategic management of data within an organization. It involves developing and enforcing policies, procedures, and standards to ensure data is consistently available, accurate, secure, and compliant throughout its lifecycle.

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What is Streaming ETL?

Astera

Streaming ETL is a modern approach to extracting, transforming, and loading (ETL) that processes and moves data from source to destination in real-time. It relies on real-time data pipelines that process events as they occur. Events refer to various individual pieces of information within the data stream.

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What is Data Pipeline? A Detailed Explanation

Smart Data Collective

The source from which data enters the pipeline is called upstream while downstream refers to the final destination where the data will go. Data flows down the pipeline just like water. Monitoring. This checks the working of a data pipeline and all its stages. Data Pipeline: Use Cases.