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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.

Big Data 113
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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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An Intelligent Future for Manufacturing

CIO Business Intelligence

For Huawei, digitally transforming manufacturing through advanced ICT including 5G technologies, cloud computing, big data and AI, is the key to reshaping industries for the future. Another leading manufacturer, BYD , first entered the automotive market in 2003.

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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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What is vegetation management? 

IBM Big Data Hub

The 2003 blackout mentioned earlier wasn’t an isolated case; in some regions, vegetation causes up to half of the power outages, and in the US, this figure reaches as high as 92% , as reported by the Federal Energy Commission. Vegetation overgrowth affects many industries and requires proactive management.

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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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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.