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End-to-end development lifecycle for data engineers to build a data integration pipeline using AWS Glue

AWS Big Data

Many AWS customers have integrated their data across multiple data sources using AWS Glue , a serverless data integration service, in order to make data-driven business decisions. Are there recommended approaches to provisioning components for data integration?

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Orca Security’s journey to a petabyte-scale data lake with Apache Iceberg and AWS Analytics

AWS Big Data

We explore why Orca chose to build a transactional data lake and examine the key considerations that guided the selection of Apache Iceberg as the preferred table format. Lastly, we discuss the challenges encountered throughout the project, present the solutions used to address them, and share valuable lessons learned.

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How Tricentis unlocks insights across the software development lifecycle at speed and scale using Amazon Redshift

AWS Big Data

Additionally, the scale is significant because the multi-tenant data sources provide a continuous stream of testing activity, and our users require quick data refreshes as well as historical context for up to a decade due to compliance and regulatory demands. Finally, data integrity is of paramount importance.

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Discover Efficient Data Extraction Through Replication With Angles Enterprise for Oracle

Jet Global

Add in the de facto requirement to combine all your reporting data and it presents quite a challenge. As more companies move their data into the cloud, methods for storing and managing that data also adapt and grow. This growth is caused, in part, by the increasing use of cloud platforms for data storage and processing.