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Amazon DataZone now integrates with AWS Glue Data Quality and external data quality solutions

AWS Big Data

Today, we are pleased to announce that Amazon DataZone is now able to present data quality information for data assets. Other organizations monitor the quality of their data through third-party solutions. Additionally, Amazon DataZone now offers APIs for importing data quality scores from external systems.

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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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Convergent Evolution

Peter James Thomas

From 2000 to 2015, I had some success [5] with designing and implementing Data Warehouse architectures much like the following: As a lot of my work then was in Insurance or related fields, the Analytical Repositories tended to be Actuarial Databases and / or Exposure Management Databases, developed in collaboration with such teams.

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Take Your SQL Skills To The Next Level With These Popular SQL Books

datapine

The new version includes details on the latest SQL features such as techniques for wrangling data, as well as two new chapters, one dedicated to setting up your own system, and another for using PostgreSQL and JSON. This piece, published in 2012, offers a step-to-step guide on everything related to SQL. We wish you the best of luck.

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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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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.