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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 284
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Future-proofing Your Big Data Strategy

IT Toolbox

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 309
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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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Rethinking ‘Big Data’ — and the rift between business and data ops

CIO Business Intelligence

When it broke onto the IT scene, Big Data was a big deal. Still, CIOs should not be too quick to consign the technologies and techniques touted during the honeymoon period (circa 2005-2015) of the Big Data Era to the dust bin of history. Data is the cement that paves the AI value road.

Big Data 131
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Pot of Gold at the End of the Rainbow Meets Big Data

IT Toolbox

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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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.