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Move Over Tiger Woods: Big Data Helps Discover The Perfect Golf Swing

Smart Data Collective

Basketball, baseball and football have all gained a lot of publicity for discussing their utilization of big data. However, golfers can use big data as well. Big data is a term that has been thrown around quite a lot in the last few years. Data Analytics is Driving the Field of Golf. Data Unlocked.

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Big Data Creates Massive Changes for the Game of Golf

Smart Data Collective

We recently talked about some of the changes that data has created in the game of golf. Big Data and Golf Game. Every aspect of golf in the modern form is being transformed through data analysis, cloud technologies, machine learning, and scientific advances. A study was held in 2016 that saw Big Data come into the scene.

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Simplify data ingestion from Amazon S3 to Amazon Redshift using auto-copy

AWS Big Data

All new sales transactions for 2003-01-01 are automatically ingested, which can be verified by running the following query: SELECT ss_sold_date_sk, count(1) FROM store_sales GROUP BY ss_sold_date_sk; Automate ingestion from multiple data sources We can also load an Amazon Redshift table from multiple data sources.

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Materialized Views in Hive for Iceberg Table Format

Cloudera

It brings the reliability and simplicity of SQL tables to big data while enabling engines like Hive, Impala, Spark, Trino, Flink, and Presto to work with the same tables at the same time. It has been designed and developed as an open community standard to ensure compatibility across languages and implementations.

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How to use Netezza Performance Server query data in Amazon Simple Storage Service (S3)

IBM Big Data Hub

This data will be analyzed using Netezza SQL and Python code to determine if the flight delays for the first half of 2022 have increased over flight delays compared to earlier periods of time within the current data (January 2019 – December 2021). Any data from June 2003 up until the most recent month of data available can be selected.

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Netezza evolves into the IBM Integrated Analytics System

IBM Big Data Hub

The world of data in 2018 is much different than in 2003. We now see a drive towards AI, the emergence of cloud and the prevalence of big data across industries. .

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An Overview of Sales Analytics in Event Industry

BizAcuity

With more and more information became readily available online in the mid 2000s, companies started taking advantage of it by leveraging big data analytics. Some businesses in 2003 started using predictive analytics generating an average Return on Investment or ROI of 145% as per the study that was undertaken by IDC.

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