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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. Enabling AWS Glue Data Catalog column statistics further improved performance by 3x versus last year.

Data Lake 105
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Data Analytics Technology is Positively Disrupting the World of Sports

Smart Data Collective

Big Data and Sports Broadcasting. Sports broadcasting and commentary has been evolving for some time. Sports Programming can now engage the viewer by creating a more compelling viewing experience instead of simply reporting the statistics and facts. Audience Engagement.

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The Importance of Data Analytics with IPTV Middleware CMS

Smart Data Collective

It allows for the storage of user data and statistics, the collection of said statistics, usage analytics and reports, an integrated billing system, live rewind, catchup, EPG integration, DRM, lets you view and analyse information related to VOD, live rewind, catchup, timeshift, and more. Client Reporting. Dashboard and Analytics.

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7 Ways Data Monetization is Changing the Information Technology Job Market

Smart Data Collective

Their skills would certainly be valued by managerial staff who need to have ready access to healthcare statistics at all hours. Discovering Broadcast Interference Patterns Digital broadcasting is a lot like networking in that an increase in the number of devices occupying a channel will boost the amount of packets lost to attenuation.

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How the Internet of Things and AI will Transform Sports Business?

Smart Data Collective

But the performance data used in recruitment goes beyond statistics like goals, home runs, and passes. Streaming and broadcasting. Sports teams across categories are using players’ performance data as a reference point for potential and making sure players are a good fit.

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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. We demonstrated a step-by-step approach to analyze query performance by examining the query execution plan and statistics and identifying the root cause of query slowness.

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

Cloudera

To enable data pruning, modern columnar formats such as ORC and Parquet maintain indexes, bloom filters, and statistics to determine if a group of data needs to be read at all before returning to the execution engine. Hive users can check how probedecode optimization applies for their MapJoin queries using their standard query explain plans.