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The Rise of Unstructured Data

Cloudera

The rate of data growth is reflected in the proliferation of storage centres. For example, the number of hyperscale centres is reported to have doubled between 2015 and 2020. And data moves around. Cisco estimates that global IP data traffic has grown 3-fold between 2016 and 2021, reaching 3.3 of that data is analysed.

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The HP-Autonomy lawsuit: Timeline of an M&A disaster

CIO Business Intelligence

The 2000s: Spending spree September 2003: Autonomy completes its purchase of video management software vendor Virage and rebuilds the company’s software on its own IDOL (Intelligent Data Operating Layer) unstructured data management platform. billion at 2011 exchange rates—although later reports will put the price as high as £8.7

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Challenges in replacing SSRS with Microsoft Power BI

BizAcuity

There are several reporting tools and platforms available today, and enterprises usually choose the one that is best suited for their business needs. Two popular options for reporting platforms are SQL Server Reporting Services (SSRS) and Microsoft Power BI. It is an intensified tool compared to other crystal reports.

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Challenges in replacing SSRS with Microsoft Power BI

BizAcuity

There are several reporting tools and platforms available today, and enterprises usually choose the one that is best suited for their business needs. Two popular options for reporting platforms are SQL Server Reporting Services (SSRS) and Microsoft Power BI. It is an intensified tool compared to other crystal reports.

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Challenges in replacing SSRS with Microsoft Power BI

BizAcuity

There are several reporting tools and platforms available today, and enterprises usually choose the one that is best suited for their business needs. Two popular options for reporting platforms are SQL Server Reporting Services (SSRS) and Microsoft Power BI. It is an intensified tool compared to other crystal reports.

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Structural Evolutions in Data

O'Reilly on Data

While data scientists were no longer handling Hadoop-sized workloads, they were trying to build predictive models on a different kind of “large” dataset: so-called “unstructured data.” ” There’s as much Keras, TensorFlow, and Torch today as there was Hadoop back in 2010-2012.

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The Data Behind Tokyo 2020: The Evolution of the Olympic Games

Sisense

“While data and analytics are nothing new to the Olympics — they’ve been used in some form or another for many, many years — what is new is the importance of using data to manage the evolving changing models for delivery of the Games,” Chris says. >>>Infused Using data to create a more modern Olympics.