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Measure performance of AWS Glue Data Quality for ETL pipelines

AWS Big Data

In recent years, data lakes have become a mainstream architecture, and data quality validation is a critical factor to improve the reusability and consistency of the data. In this post, we provide benchmark results of running increasingly complex data quality rulesets over a predefined test dataset.

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7 Advantages of Using Encryption Technology for Data Protection

Smart Data Collective

The trouble began in 2012 when a thief stole a laptop containing 30,000 patient records from an employee’s home. That same year, as well as in 2013, there were two separate instances of more data loss via misplaced USB drives. If you trust the data, it’s easier to use confidently to make business decisions.

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How Can Smart Data Discovery Tools Generate Business Value?

datapine

As we mentioned at the beginning of this article, the big data industry has shown exponential growth in the past decade. Studies say that more data has been generated in the last two years than in the entire history before and that since 2012 the industry has created around 13 million jobs around the world. 2) Be quick.

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A Big Data Imperative: Driving Big Action

Occam's Razor

All the way back in 2007, I was evangelizing the value of moving away from the "small data" world of clickstream data to the "bigger data" world of using multiple data sources to make smarter decisions on the web. If we don't answer all those hows big data will be a big disappointment.

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Great Storytelling With Data: Visualize Simply And Focus Obsessively

Occam's Razor

We send out our multi-tab spreadsheets, our best Google Analytics custom reports , our great dashboards full of data , and more to the tactical layer of data clients. The Directors, the Marketers, the Optimization employees and our resident social media gurus. You are the smartest person in the room when it comes to data.

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Themes and Conferences per Pacoid, Episode 7

Domino Data Lab

After a data science conference, our marketing group wanted to follow-up by surveying 300 attendees from industry. There are essentially four types encountered: image/video, audio, text, and structured data. Check the end of this article for key guidance synthesized from the practices of the leaders in the field.

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Data Science, Past & Future

Domino Data Lab

He was saying this doesn’t belong just in statistics. He also really informed a lot of the early thinking about data visualization. It involved a lot of interesting work on something new that was data management. To some extent, academia still struggles a lot with how to stick data science into some sort of discipline.