2016 Digital Real-time Data 
Smart Data Collective
NOVEMBER 11, 2020
The objective of this cheaper golf simulator cost was to help golf be more accessible to fans and also to help golfers improve their game through data all over the world. A study was held in 2016 that saw Big Data come into the scene. During the study, 225 terabytes of swing data were used to analyze over 13000 golf swings.
Tableau
JUNE 6, 2022
AmFam’s journey with Embedded Analytics began in 2016 upon realizing it lacked a way to deliver the data and analytics its agents needed reliably. 1 Timely, accurate, dynamic data that’s easy to use . Before AmFam had Embedded Analytics, real-time data and reports were not readily available to agents.
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Tableau
JUNE 6, 2022
AmFam’s journey with Embedded Analytics began in 2016 upon realizing it lacked a way to deliver the data and analytics its agents needed reliably. 1 Timely, accurate, dynamic data that’s easy to use . Before AmFam had Embedded Analytics, real-time data and reports were not readily available to agents.
GAVS Technology
JANUARY 7, 2021
Gartner defines AIOps as a combination of big data and machine learning functionalities that empower IT functions, enabling scalability and robustness of its entire ecosystem. These systems transform the existing landscape to analyze and correlate historical and real-time data to provide actionable intelligence in an automated fashion.
Data Pine
AUGUST 29, 2022
4) Big Data: Principles and Best Practices Of Scalable Real-Time Data Systems by Nathan Marz and James Warren. Best for: For readers that want to learn the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they’re built.
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