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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

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. It synthesizes all we’ve learned about agile, data quality , and ETL/ELT. As pressures to modernize mount, the promise of DataOps has attracted attention.

DataOps 52
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Big data management

Dataconomy

As businesses increasingly rely on data to drive strategies and decisions, effective management of this information becomes essential for achieving competitive advantage and insights. Emphasis on DataOps practices Improving collaborative processes within organizations can streamline big data management efforts, enhancing overall efficiency.

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Alation 2023.1: Easing Self-Service for the Modern Data Stack with Databricks and dbt Labs

Alation

At the heart of this release is the need to empower people with the right information at the right time. Troubleshooting data issues , for an exploding number of disjointed systems and tools, breaks self-service for data users and creates gaps in visibility for dataOps. Now with this new 2023.1

DataOps 52
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Understanding Zero-Code Development Life Cycle in Matillion

phData

With the “Data Productivity Cloud” launch, Matillion has achieved a balance of simplifying source control, collaboration, and dataops by elevating Git integration to a “first-class citizen” within the framework. In Matillion ETL, the Git integration enables an organization to connect to any Git offering (e.g.,

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How Querying Apache Iceberg Metadata Can Elevate Your DataOps Strategy

phData

Through practical examples with AWS Glue jobs, this blog demonstrates how to query Icebergs metadata tables using SQL and turn hidden information into actionable insights. The ETL Pipeline failed in PROD. This information is valuable for capacity planning, detecting usage trends, and forecasting future storage needs.

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