Remove 2011 Remove Data Analytics Remove Unstructured Data
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The Future Is Hybrid Data, Embrace It

Cloudera

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 118
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Major Benefits of Power BI you Should Know in 2024

Knowledge Hut

Power BI, originally called Project Crescent, was launched in July 2011, bundled with SQL Server. It was released as a standalone product in July 2015 after adding more features including enterprise-level data connectivity and security options, apart from its original Excel features like Power Query, Power Pivot, and Power View.

BI 98
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Big Data Timeline- Series of Big Data Evolution

ProjectPro

1997 -The term “BIG DATA” was used for the first time- A paper on Visualization published by David Ellsworth and Michael Cox of NASA’s Ames Research Centre mentioned about the challenges in working with large unstructured data sets with the existing computing systems. In 2011, it took only 2 days to generate 1.8

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Looking for a perfect match-Why not try big data analysis this time?

ProjectPro

1 of 18 people in US today use big data analytics in finding companionship.Couples are finding love online and online dating today has become a big business. Online dating sites combine "data" and "analytics" to help people find their perfect soul mate. billion by 2016. billion in 2016.

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Recap of Hadoop News for March 2018

ProjectPro

News on Hadoop - March 2018 Kyvos Insights to Host Session "BI on Big Data - With Instant Response Times" at the Gartner Data and Analytics Summit 2018.PRNewswire.com, Using the company’s iWay DataMigrator, Information Builders customers can pull data into Jethro irrespective of where the data is stored.

Hadoop 40
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Healthcare Big Data Projects, Applications and Examples

ProjectPro

Big data in healthcare is used for reducing cost overhead, curing diseases, improving profits, predicting epidemics and enhancing the quality of human life by preventing deaths. Here begins the journey through big data in healthcare highlighting the prominently used applications of big data in healthcare industry.

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Data Pipeline Architecture Explained: 6 Diagrams and Best Practices

Monte Carlo

5 Data pipeline architecture designs and their evolution The Hadoop era , roughly 2011 to 2017, arguably ushered in big data processing capabilities to mainstream organizations. Data then, and even today for some organizations, was primarily hosted in on-premises databases with non-scalable storage.