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

datapine

A host of notable brands and retailers with colossal inventories and multiple site pages use SQL to enhance their site’s structure functionality and MySQL reporting processes. This piece, published in 2012, offers a step-to-step guide on everything related to SQL. These businesses include eBay, Autotrader, and Amazon.

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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.

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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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Themes and Conferences per Pacoid, Episode 7

Domino Data Lab

This month, the theme is not specifically about conference summaries; rather, it’s about a set of follow-up surveys from Strata Data attendees. We had big surprises at several turns and have subsequently published a series of reports. Let’s look through some of the insights gained from those reports.