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Rising Tide Rents and Robber Baron Rents

O'Reilly on Data

Perhaps a more direct way to say this in the context of economic value creation is that companies such as Amazon and Google and Facebook had developed a set of remarkable advances in networked and data-enabled market coordination. By the end of 2012, it was up to 82%. But over time, something went very wrong.

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Periscope Data Expands to Israel, Empowering Data Teams with Powerful Tools

Sisense

And he demonstrated how the Periscope Data platform overcomes the challenges of huge data volumes that can’t be easily modeled by traditional BI. Citing Tinder as a major example, Kyle explained how it constantly uses data to enhance users’ interactions and calibrate the user experience. A true unicorn.

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Process and analyze highly nested and large XML files using AWS Glue and Amazon Athena

AWS Big Data

With these techniques, you can enhance the processing speed and accessibility of your XML data, enabling you to derive valuable insights with ease. Adjust the timeout (in minutes) as shown in the following screenshot and run the cell to create the AWS Glue interactive session. xml and technique2.xml.

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7 famous analytics and AI disasters

CIO Business Intelligence

In March 2016, Microsoft learned that using Twitter interactions as training data for machine learning algorithms can have dismaying results. The idea was the chatbot would assume the persona of a teen girl and interact with individuals via Twitter using a combination of machine learning and natural language processing.

Analytics 144
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How The Explosive Growth Of Data Access Affects Your Engineer’s Team Efficiency

Smart Data Collective

zettabytes of data in 2020, a tenfold increase from 6.5 zettabytes in 2012. While growing data enables companies to set baselines, benchmarks, and targets to keep moving ahead, it poses a question as to what actually causes it and what it means to your organization’s engineering team efficiency.

Big Data 104