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Palantir: Revolutionizing big data analytics

CTOvision

and its products like Gotham, Foundry, and Apollo on his blog : A brief background on Palantir – it is typically described as a company that focuses on big data analytics by writing software that enables effective analysis against complicated, data-driven problems. This is done by unifying […].

Big Data 483
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Mastering Departmental Efficiency With Big Data

IT Toolbox

Utilizing data for department efficiency is crucial in today's economy. The post Mastering Departmental Efficiency With Big Data appeared first on Spiceworks.

Big Data 296
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Future-proofing Your Big Data Strategy

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How can you futureproof your big data strategy? The post Future-proofing Your Big Data Strategy appeared first on Spiceworks.

Big Data 245
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The Big Data-IoT Relationship: How They Help Each Other

IT Toolbox

Discover more about the relationship between Big Data and IoT and how they help each other. The post The Big Data-IoT Relationship: How They Help Each Other appeared first on.

Big Data 321
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Top Considerations for Building an Open Cloud Data Lake

Data fuels the modern enterprise — today more than ever, businesses compete on their ability to turn big data into essential business insights. Increasingly, enterprises are leveraging cloud data lakes as the platform used to store data for analytics, combined with various compute engines for processing that data.

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Pot of Gold at the End of the Rainbow Meets Big Data

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Find out how to leverage indexed search and make the most of Big Data. The post Pot of Gold at the End of the Rainbow Meets Big Data appeared first on Spiceworks.

Big Data 246
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Harnessing Big Data: Can Our Laws and Policies Keep Up?

CTOvision

Read Tim Molino explain how we can achieve big data revolution if our policies and laws are in order on Information Week : We are just at the beginning of the big data revolution. Not only are we creating data at exponential rates, […]. What was merely a prediction a few years ago is happening today.

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12 Considerations When Evaluating Data Lake Engine Vendors for Analytics and BI

Businesses today compete on their ability to turn big data into essential business insights. To do so, modern enterprises leverage cloud data lakes as the platform used to store data for analytical purposes, combined with various compute engines for processing that data.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.