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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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A Big Data Imperative: Driving Big Action

Occam's Razor

Is there anything in the analytics space that is so full of promise and hype and sexiness and possible awesomeness than "big data?" So what is big data really? As I interpret it, big data is the collection of massive databases of structured and unstructured data. No one quite knows.

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Bionic Eye, Disease Control, Time Crystal Research Powered by IO500 Top Storage Systems

CIO Business Intelligence

At SFU, Cedar’s scale and capacity enable agile prototyping and the integration of big data approaches to support an array of research. The concept of a time crystal was first offered in 2012 by Frank Wilczek, a theoretical physicist, mathematician, and Nobel laureate. . Cedar’s IO500 score was 18.72, IO500 BW 7.66

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Accelerate analytics on Amazon OpenSearch Service with AWS Glue through its native connector

AWS Big Data

AWS Glue provides both visual and code-based interfaces to make data integration effortless. Using a native AWS Glue connector increases agility, simplifies data movement, and improves data quality. Attach the AWS managed policy GlueServiceRole. Attach the following policy to the role.

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Build efficient ETL pipelines with AWS Step Functions distributed map and redrive feature

AWS Big Data

This is especially true when you are processing millions of items and you expect data quality issues in the dataset. By default, when an iteration of map state fails, all other iterations are aborted. With distributed map, you can specify the maximum number of, or percentage of, failed items as a failure threshold.

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How BMO improved data security with Amazon Redshift and AWS Lake Formation

AWS Big Data

The Lake Formation Administrator can assign tags based on various criteria, such as data source, data type, business domain, data owner, or data quality. He specializes in building Big-data applications and help customer to modernize their applications on Cloud.

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