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Accelerate Amazon Redshift Data Lake queries with AWS Glue Data Catalog Column Statistics

AWS Big Data

Over the last year, Amazon Redshift added several performance optimizations for data lake queries across multiple areas of query engine such as rewrite, planning, scan execution and consuming AWS Glue Data Catalog column statistics. Performance was tested on a Redshift serverless data warehouse with 128 RPU.

Data Lake 105
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Simplify your query performance diagnostics in Amazon Redshift with Query profiler

AWS Big Data

This feature is part of the Amazon Redshift console and provides a visual and graphical representation of the query’s run order, execution plan, and various statistics. To test Query profiler against the sample data, load the tpcds sample data and run queries. Try this feature in your environment and share your feedback with us.

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LaLiga transforms fan experience with AI

CIO Business Intelligence

We started by giving this data to the technical staff of the clubs, but we decided it was the moment to offer these advanced statistics to the fans and the media,” Bruno says. “We We had some tests in the laboratory first, and then we tested with the fans. We followed the design thinking process,” says Bruno. “We

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Run Trino queries 2.7 times faster with Amazon EMR 6.15.0

AWS Big Data

Benchmark setup In our testing, we used the 3 TB dataset stored in Amazon S3 in compressed Parquet format and metadata for databases and tables is stored in the AWS Glue Data Catalog. Table and column statistics were not present for any of the tables. In this post, we compare Amazon EMR 6.15.0 times faster on Amazon EMR 6.15.0

Metadata 105
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Top 15 data management platforms

CIO Business Intelligence

Others aim simply to manage the collection and integration of data, leaving the analysis and presentation work to other tools that specialize in data science and statistics. The platform is integrated across digital venues such as search and social media and older markets such as print, cable TV, radio, and broadcast. Survey CTO.

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Rebranding IT for the modernized IT mission

CIO Business Intelligence

A 1958 Harvard Business Review article coined the term information technology, focusing their definition on rapidly processing large amounts of information, using statistical and mathematical methods in decision-making, and simulating higher order thinking through applications.

IT 136
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Amazon EMR 7.1 runtime for Apache Spark and Iceberg can run Spark workloads 2.7 times faster than Apache Spark 3.5.1 and Iceberg 1.5.2

AWS Big Data

To assess the Spark engine’s performance with the Iceberg table format, we performed benchmark tests using the 3 TB TPC-DS dataset, version 2.13 (our results derived from the TPC-DS dataset are not directly comparable to the official TPC-DS results due to setup differences). No precalculated statistics were used for these tables.