That's not an abstraction

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Data Modernization and Reasoning Step 2: Big Data — distributed data design basics and further…

Data Modernization and Reasoning Step 2: Big Data — distributed data design basics and further refinements from STEP 1You use SQL, partition etc in Spark but do not miss out key requirements in parallel computingSTEP 1 reviews existing data system and reveals issues that need to be fixed. Now we go on real data modernization stage and initialize design phase. Cloud based big...
Amazon EMR 7.5 runtime for Apache Spark and Iceberg can run Spark workloads 3.6 times faster than Spark 3.5.3 and Iceberg 1.6.1

The Amazon EMR runtime for Apache Spark offers a high-performance runtime environment while maintaining 100% API compatibility with open source Apache Spark and Apache Iceberg table format. Amazon EMR on EC2, Amazon EMR Serverless, Amazon EMR on Amazon EKS, Amazon EMR on AWS Outposts and AWS Glue all use the optimized runtimes. In this post, we demonstrate the performance benefits...
Fail Fast, Build Better: How software landscape is changing and embracing failures

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Is Pinecone Open Source?

Embeddings (mathematical representations of information) have disrupted databases because traditional storage methods do not work well with them. Efforts to develop solutions for vector storage began around 2010, and today, we have numerous options available, with Pinecone being one of the most popular.Pinecone is a leading vector database optimized for scaling generative AI with efficient storage and querying. However, its...
Complain & Propose

Republished from July 2014.͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ...

Month: December 2020

Intro to Apache Spark (slides)

Published by Arnon Rotem-Gal-Oz on December 16, 2020

I gave a general overview of Apache Spark to our R&D teams. You can find the slides below

Where is Apache Spark heading?

Where is Apache Spark heading?

Published by Arnon Rotem-Gal-Oz on December 4, 2020

I watched (COVID19-era version of “attended”) the latest spark Summit and in one of the keynotes Reynold Xin from Databricks, presented the following two images…