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Build an Amazon Redshift data warehouse using an Amazon DynamoDB single-table design

AWS Big Data

Typical use cases for DynamoDB are an ecommerce application handling a high volume of transactions, or a gaming application that needs to maintain scorecards for players and games. In traditional databases, we would model such applications using a normalized data model (entity-relation diagram).

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Visualize data quality scores and metrics generated by AWS Glue Data Quality

AWS Big Data

It’s important for business users to be able to see quality scores and metrics to make confident business decisions and debug data quality issues. AWS Glue Data Quality generates a substantial amount of operational runtime information during the evaluation of rulesets. For S3 path , enter the S3 path to your data source. (

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Build a real-time analytics solution with Apache Pinot on AWS

AWS Big Data

This has led to the emergence of real-time OLAP solutions, which are particularly relevant in the following use cases: User-facing analytics – Incorporating analytics into products or applications that consumers use to gain insights, sometimes referred to as data products.

OLAP 94
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Two Acquisitions in Two Weeks!

Rita Sallam

Platfora’s platform has often been referred to as the “Tableau for Hadoop” by its customers. Now to the Workday acquisition of Platfora, which was announced at the end of July and closed quickly on August 5 th. Workday has stated they will continue to support existing Platfora customers through the end of their contracts.

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Fact-based Decision-making

Peter James Thomas

In our modern architectures, replete with web-services, APIs, cloud-based components and the quasi-instantaneous transmission of new transactions, it is perhaps not surprising that occasionally some data gets lost in translation [5] along the way. Regular facts are subject to data quality issues, or manipulation by creative humans.

Metrics 49
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Redefining enterprise transformation in the age of intelligent ecosystems

CIO Business Intelligence

The scorecard speaks for itself. The mega-vendor era By 2020, the basis of competition for what are now referred to as mega-vendors was interoperability, automation and intra-ecosystem participation and unlocking access to data to drive business capabilities, value and manage risk.