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Why the Data Journey Manifesto?

DataKitchen

We wrote the first version because, after talking with hundreds of people at the 2016 Strata Hadoop World Conference, very few easily understood what we discussed at our booth and conference session. Data tools will continue to evolve, and as-built systems will continue to run. So why another manifesto in the world?

Testing 130
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Belcorp reimagines R&D with AI

CIO Business Intelligence

The initial stage involved establishing the data architecture, which provided the ability to handle the data more effectively and systematically. “We Finally, our goal is to diminish consumer risk evaluation periods by 80% without compromising the safety of our products.”

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A comparative assessment of digital transformation in Italy

CIO Business Intelligence

“Digital is a powerful business lever,” says Alessandra Luksch, director of the Digital Transformation Academy Observatory at Politecnico di Milano, which has been mapping trends in ICT spending by Italian organizations since 2016. “In

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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

At the same time, centralised big data functions increasingly invested in Hadoop based architectures, in part to move away from proprietary and expensive software, but also in part to engage with what was emerging as a horizontal industry standard technology. First, AI was on the rise, and demanding consistent, large data sets.

Analytics 101
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Upgrade Journey: The Path from CDH to CDP Private Cloud

Cloudera

ACID transactions, ANSI 2016 SQL SupportMajor Performance improvements. This allowed them to enable a modern data architecture, enhance their streaming capabilities and prepare for the next phase of the CDP Journey. New Features CDH to CDP. Identifying areas of interest for Customer A. Hive-on-Tez for better ETL performance.

Testing 132
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Texas Rangers data transformation modernizes stadium operations

CIO Business Intelligence

In 2016, Major League Baseball’s Texas Rangers announced it would build a brand-new state-of-the-art stadium in Arlington, Texas. The old stadium, which opened in 1992, provided the business operations team with data, but that data came from disparate sources, many of which were not consistently updated.

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Topics to watch at the Strata Data Conference in New York 2019

O'Reilly on Data

So, we used a form of the Term Frequency-Inverse Document Frequency (TF/IDF) technique to identify and rank the top terms in this year’s Strata NY proposal topics—as well as those for 2018, 2017, and 2016. 2) is unchanged from Strata NY 2018, it’s up three places from Strata NY 2017—and eight places relative to 2016. What’s going on?

IoT 20