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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. The following graph presents the top 10 queries from the TPC-DS benchmark with the greatest performance improvement.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form. That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. The on-the-ground reality of DG presents an almost overwhelming array of topics.

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Data Science, Past & Future

Domino Data Lab

Paco Nathan presented, “Data Science, Past & Future” , at Rev. I am honored to be able to present here and thrilled to have been involved in Rev. The presentation layer was about, say, web browsers, right, what you could do in a web browser. I can point to the year 2001. Session Summary. Transcript.

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

AWS Big Data

Set up Amazon Security Lake In this section, we present the steps to set up Amazon Security Lake, which includes enabling the service and creating a subscriber. For index, enter the index name that was defined in the template created in the previous section ( "ocsf-cuid-${/class_uid}-${/metadata/product/name}-${/class_name}-%{yyyy.MM.dd}" ).

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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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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

Secondly: some key insights discussed at Sci Foo finally clicked for me—after I’d heard them presented a few times elsewhere. The gist is, leveraging metadata about research datasets, projects, publications, etc., Across the board, organizations struggle with hiring enough data scientists.