It’s hard to imagine data warehousing without ETL (extract, transformation, and load). For decades, analysts and engineers have embraced no-code ETL solutions for increased maintainability. Does this ...

I have never used SQL Server Integration Services before and need to extract data out of several Access databases, then transform it and load it into an SQL Server table.<br><br>Migrating data from ...

A financial services (Investment) company is looking for a dynamic MS SSIS ETL Developer who will be responsible for the scripts required to extract, transform, clean, and move data and metadata so ...

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More All data is created in one place and moved–sometimes very ...

Global software house Microsoft is making big data the focus of SQL Server 2019, set for release later this year. A key part is data virtualisation, eliminating complex ETL processes. Microsoft says ...

Katta's expertise in optimizing ETL workflows and implementing data quality frameworks can serve as a blueprint for successful data transformation initiatives. In a world where data is increasingly ...

BlazingSQL builds on RAPIDS to distribute SQL query execution across GPU clusters, delivering the ETL for an all-GPU data science workflow. BlazingSQL is a GPU-accelerated SQL engine built on top of ...

So I have been tasked with moving a fairly large amount (2.5 million rows) of highly flat denormalized data from Oracle 11g to MongoDB. The data is highly repetive in that a lot of data repeats itself ...

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