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Accelerate your migration to Amazon OpenSearch Service with Reindexing-from-Snapshot

AWS Big Data

How RFS works OpenSearch and Elasticsearch snapshots are a directory tree that contains both data and metadata. Metadata files exist in the snapshot to provide details about the snapshot as a whole, the source cluster’s global metadata and settings, each index in the snapshot, and each shard in the snapshot.

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Disaster recovery strategies for Amazon MWAA – Part 2

AWS Big Data

Backup and restore architecture The backup and restore strategy involves periodically backing up Amazon MWAA metadata to Amazon Simple Storage Service (Amazon S3) buckets in the primary Region. The pipeline includes a DAG deployed to the DAGs S3 bucket, which performs backup of your Airflow metadata. The steps are as follows: [1.a]

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Migrate an existing data lake to a transactional data lake using Apache Iceberg

AWS Big Data

This means the data files in the data lake aren’t modified during the migration and all Apache Iceberg metadata files (manifests, manifest files, and table metadata files) are generated outside the purview of the data. In this method, the metadata are recreated in an isolated environment and colocated with the existing data files.

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Decoding Intelligence in OTT Platforms | Role of AI in Media & Entertainment

bridgei2i

Decoding Intelligence in OTT Platforms | Role of AI in Media & Entertainment. The Media & Entertainment industry is one such realm that sees exceptional potential for AI use cases in the coming years. Role of Metadata in Videos – AI in Ads for OTT. The Future of AI in Media & Entertainment.

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Use AWS Glue ETL to perform merge, partition evolution, and schema evolution on Apache Iceberg

AWS Big Data

However, altering schema and table partitions in traditional data lakes can be a disruptive and time-consuming task, requiring renaming or recreating entire tables and reprocessing large datasets. Apache Iceberg manages these schema changes in a backward-compatible way through its innovative metadata table evolution architecture.

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Gartner Data & Analytics Sydney 2022

Timo Elliott

You lose the roots, all of the rich, business, context and metadata and security and hierarchies, and then you have to try and recreate it in the new environment. But the problem with that is that it’s like ripping a tree out of the forest and trying to get it to grow in a different environment.

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Alation and dbt Unlock Metadata and Increase Modern Data Stack Visibility

Alation

Yet every dbt transformation contains vital metadata that is not captured – until now. When combined with the dbt metadata API, a rich set of data, capturing its transformation history, can now be added to the Alation data catalog. In the modern data stack, dbt is a key tool to make data ready for analysis. These are key details.