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Amazon OpenSearch Service Under the Hood : OpenSearch Optimized Instances(OR1)

AWS Big Data

Amazon OpenSearch Service recently introduced the OpenSearch Optimized Instance family (OR1), which delivers up to 30% price-performance improvement over existing memory optimized instances in internal benchmarks, and uses Amazon Simple Storage Service (Amazon S3) to provide 11 9s of durability.

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What Is Active Metadata Management and How Does It Work?

Octopai

First, what active metadata management isn’t : “Okay, you metadata! Now, what active metadata management is (well, kind of): “Okay, you metadata! I will, of course, end up with a very amateurish finished product, because I used sub-optimal tools to do the job. That takes active metadata management.

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How to Build a Successful Metadata Management Framework

Alation

The real challenge lies in getting people to access, manage, and search for it appropriately. This is where metadata, or the data about data, comes into play. Your metadata management framework provides the underlying structure that makes your data accessible and manageable. What is a Metadata Management Framework?

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Apache Iceberg optimization: Solving the small files problem in Amazon EMR

AWS Big Data

Iceberg tables store metadata in manifest files. As the number of data files increase, the amount of metadata stored in these manifest files also increases, leading to longer query planning time. The query runtime also increases because it’s proportional to the number of data or metadata file read operations.

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RDF-Star: Metadata Complexity Simplified

Ontotext

Relational databases benefit from decades of tweaks and optimizations to deliver performance. This is a graph of millions of edges and vertices – in enterprise data management terms it is a giant piece of master/reference data. Not Every Graph is a Knowledge Graph: Schemas and Semantic Metadata Matter.

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Maximize your data dividends with active metadata

IBM Big Data Hub

Metadata management performs a critical role within the modern data management stack. However, as data volumes continue to grow, manual approaches to metadata management are sub-optimal and can result in missed opportunities. This puts into perspective the role of active metadata management.

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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.