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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. Some of the queries in our benchmark experienced up to 12x speed up.

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New AI Advances Increase User Reach with Advanced Targeting

Smart Data Collective

A growing number of marketers are using AI to optimize and automate marketing campaigns in fantastic ways. Jason Hall, Founder and CEO of FiveChannels described some of the phenomenal benefits of leveraging AI in digital marketing in a post in Forbes. There are a number of benefits of using AI for improved targeting.

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AI Advances Are Reshaping Video Streaming Protocols

Smart Data Collective

Some of the largest video streaming services, such as Netflix and Hulu use AI to provide the highest quality video streaming benefits to their customers. To optimize your viewing experience, online video transmission uses streaming-specific and HTTP-based protocols. Cost Depending on the protocol, you might incur licensing fees.

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Filter more pay less with the latest Cloudera Data Warehouse runtime!

Cloudera

One of the most effective ways to improve performance and minimize cost in database systems today is by avoiding unnecessary work, such as data reads from the storage layer (e.g., MapJoins can directly benefit from the probedecode feature. Introduction. className: VectorMapJoinInnerBigOnlyLongOperator. Performance.

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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

In this post, we explore the performance benefits of using the Amazon EMR runtime for Apache Spark and Apache Iceberg compared to running the same workloads with open source Spark 3.5.1 Additionally, the cost efficiency improves by 2.2 times, with the total cost decreasing from $16.09 on Iceberg tables. In Run Apache Spark 3.5.1

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How the Sports and Entertainment Industry Is Reinventing the Fan Experience and Enhancing Revenues with Computer Vision

CIO Business Intelligence

Player performance information also improves the quality of coaching and reduces decision-making time, making for a higher quality game and broadcast. Queue management also benefits from computer vision, where potential queue or wait times at concession stands are alleviated through fan notifications and dynamic staffing.

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New Multithreading Model for Apache Impala

Cloudera

In addition, a lot of work has also been put into ensuring that Impala runs optimally in decoupled compute scenarios, where the data lives in object storage or remote HDFS. These are the common bottlenecks in analytic queries, and are notoriously difficult to optimize. . Broadcast Hash Join. the nodes with the skewed keys).

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