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Top 10 Data Engineering Trends in 2025

Edureka

In 2025, this blog will discuss the most important data engineering trends, problems, and opportunities that companies should be aware of. Exponential Growth in AI-Driven Data Solutions This approach, known as data building, involves integrating AI-based processes into the services.

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The DataOps Vendor Landscape, 2021

DataKitchen

Piperr.io — Pre-built data pipelines across enterprise stakeholders, from IT to analytics, tech, data science and LoBs. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Genie — Distributed big data orchestration service by Netflix.

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Azure Data Engineer Job Description [Roles and Responsibilities]

Knowledge Hut

You can learn deeply about the Azure learning journey that leads to the position of an Azure Data Engineer Associate on the Microsoft Azure platform. Who is an Azure Data Engineer? As an Azure Data Engineer, you will be expected to design, implement, and manage data solutions on the Microsoft Azure cloud platform.

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Data Migration Risks and the Checklist You Need to Avoid Them

Monte Carlo

Sure, terabytes or even petabytes of data are involved, but generally it’s not the size of the data but everything surrounding the dataworkflows, access permissions, layers of dependencies–that pose data migration risks. When you know you can rely on your data, validating successful migrations is easier.

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Unlocking the Future of Data Integration with Airbyte: A New Era of Seamless, Scalable, and Open-Source Solutions

RandomTrees

Data Quality and Observability: Confidence in Every Pipeline In data integration, quality is everything. Bad data doesnt just waste time; it can lead to incorrect decisions and lost opportunities. In the fast-paced world of data, Airbyte is an invaluable partner in creating the future of data workflows.