Remove 2001 Remove Analytics Remove Data Lake Remove Metadata
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Use AWS Glue ETL to perform merge, partition evolution, and schema evolution on Apache Iceberg

AWS Big Data

As enterprises collect increasing amounts of data from various sources, the structure and organization of that data often need to change over time to meet evolving analytical needs. This is critical for fast-moving enterprises to augment data structures to support new use cases. This hampers agility and time to insight.

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

AWS Big Data

Amazon Athena is a serverless, interactive analytics service built on open source frameworks, supporting open table file formats. Athena provides a simplified, flexible way to analyze petabytes of data where it lives. Analytics Architect on Amazon Athena. He has been working on query optimizers for over a decade.

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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 more information, refer to Lifecycle management in Security Lake.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. in lieu of simply landing in a data lake.

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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

I mention this here because there was a lot of overlap between current industry data governance needs and what the scientific community is working toward for scholarly infrastructure. The gist is, leveraging metadata about research datasets, projects, publications, etc., 2018 – Global reckoning about data governance, aka “Oops!