Remove Data Quality Remove DataOps Remove ETL
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DataOps Highlights the Need for Automated ETL Testing (Part 2)

Dataversity

DataOps, which focuses on automated tools throughout the ETL development cycle, responds to a huge challenge for data integration and ETL projects in general. ETL projects are increasingly based on agile processes and automated testing. Click to learn more about author Wayne Yaddow. The […].

DataOps 98
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DataOps Highlights the Need for Automated ETL Testing (Part 1)

Dataversity

DataOps, which focuses on automated tools throughout the ETL development cycle, responds to a huge challenge for data integration and ETL projects in general. ETL projects are increasingly based on agile processes and automated testing. Click to learn more about author Wayne Yaddow. The […].

DataOps 52
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Turnkey Cloud DataOps: Solution from Alation and Accenture

Alation

They must put high-quality data into the hands of users as efficiently as possible. DataOps has emerged as an exciting solution. As the latest iteration in this pursuit of high-quality data sharing, DataOps combines a range of disciplines. People want to know how to implement DataOps successfully.

DataOps 52
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Big data management

Dataconomy

What is big data management? Big data management refers to the strategies and processes involved in handling extensive volumes of structured and unstructured data to ensure high data quality and accessibility for analytics and business intelligence applications.

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Supercharge your data strategy: Integrate and innovate today leveraging data integration

IBM Journey to AI blog

The ability to effectively deploy AI into production rests upon the strength of an organization’s data strategy because AI is only as strong as the data that underpins it. Organizations must support quality enhancement across structured, semistructured and unstructured data alike.

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What Is a Data Fabric and How Does a Data Catalog Support It?

Alation

Automated Data Orchestration (AKA DataOps). Automated data orchestration interweaves data with connecting processes. DataOps is the leading process concept in data today. See Gartner’s “ How DataOps Amplifies Data and Analytics Business Value ”). Alation Data Catalog for the data fabric.

DataOps 52
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How Querying Apache Iceberg Metadata Can Elevate Your DataOps Strategy

phData

Youll learn to monitor data file changes, audit data growth patterns, and reduce troubleshooting timewithout adding new tools or unnecessary complexity. Whether youre a data engineer, architect, or platform owner, this approach can help you shift from reactive firefighting to proactive, intelligent data management.

DataOps 52