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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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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Edge caches become crucial for managing data on its way from web servers to mobile devices. Network security mushrooms with VPNs, IDS , gateways, various bump-in-the-wire solutions, SIMS tying all the anti-intrusion measures within the perimeter together, and so on. Data is on the move. We keep feeding the monster data.

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Run Spark SQL on Amazon Athena Spark

AWS Big Data

Modern applications store massive amounts of data on Amazon Simple Storage Service (Amazon S3) data lakes, providing cost-effective and highly durable storage, and allowing you to run analytics and machine learning (ML) from your data lake to generate insights on your data.

Data Lake 105
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Design a data mesh on AWS that reflects the envisioned organization

AWS Big Data

Users can also raise requests to producers to improve the way the data is presented or to enrich the data with new data points for generating a higher business value. At the same time, each team can also map other catalogs to their own account and use their own data, which they produce along with the data from other accounts.

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

Sisense

Driving startup growth with the power of data. The challenge is to do it right, and a crucial way to achieve it is with decisions based on data and analysis that drive measurable business results. The company has integrated data analysis throughout its organization to power decision making. A true unicorn.

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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

Their approach is to bombard “organoid” mini brains living in vats with potential cancer meds, to measure the meds’ relative effects. For-instance, where social science research intersects business concerns related to data science practices? Afterward, I headed quietly back to my laptop for some light coding to recover. Or something.

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Simplify external object access in Amazon Redshift using automatic mounting of the AWS Glue Data Catalog

AWS Big Data

Amazon Redshift now makes it easier for you to run queries in AWS data lakes by automatically mounting the AWS Glue Data Catalog. You no longer have to create an external schema in Amazon Redshift to use the data lake tables cataloged in the Data Catalog. There are additional changes required in IAM policy.