There are many reasons you may need to move and/or transform your application data: to improve database performance, consolidate data, provide access to other teams in your organization to safely query data, and other reasons specific to your use case. This may seem straightforward to set up yourself, but this can be tedious and difficult to get right without impacting your production database. Wi
Amazon ElastiCache for Redis and Amazon MemoryDB for Redis now support natively storing and accessing data in the JavaScript Object Notation (JSON) format. With this launch, application developers can effortlessly store, fetch, and update their JSON data inside Redis without needing to manage custom code for serialization and deserialization. Using ElastiCache and MemoryDB, you can now efficiently
The Blaze accelerator for Apache Spark leverages native vectorized execution to accelerate query processing. It combines the power of the Apache Arrow-DataFusion library and the scale of the Spark distributed computing framework. Blaze takes a fully optimized physical plan from Spark, mapping it into DataFusion's execution plan, and performs native plan computation in Spark executors. Blaze is com
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