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Speed up queries with the cost-based optimizer in Amazon Athena

AWS Big Data

Starting today, the Athena SQL engine uses a cost-based optimizer (CBO), a new feature that uses table and column statistics stored in the AWS Glue Data Catalog as part of the table’s metadata. Let’s discuss some of the cost-based optimization techniques that contributed to improved query performance.

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The Semantic Web: 20 Years And a Handful of Enterprise Knowledge Graphs Later

Ontotext

KGs bring the Semantic Web paradigm to the enterprises, by introducing semantic metadata to drive data management and content management to new levels of efficiency and breaking silos to let them synergize with various forms of knowledge management. Take this restaurant, for example.

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Generate security insights from Amazon Security Lake data using Amazon OpenSearch Ingestion

AWS Big Data

By converting logs and events using Open Cybersecurity Schema Framework , an open standard for storing security events in a common and shareable format, Security Lake optimizes and normalizes your security data for analysis using your preferred analytics tool. For sts_role_arn , enter the ARN of pipeline-role. Set region as us-east-1.

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Data Science, Past & Future

Domino Data Lab

The problems down in the mature bucket, those are optimizations, they aren’t showstoppers. I can point to the year 2001. It was also the year, 2001, when “ Agile Manifesto ” was published. Machine learning is a subset of mathematical optimization. Those are nice problems to have. All righty.