Remove 2023 Remove Management Remove Metadata Remove Snapshot
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Amazon OpenSearch Service H1 2023 in review

AWS Big Data

Since its release in January 2021, the OpenSearch project has released 14 versions through June 2023. With OpenSearch Service managed domains, you specify a hardware configuration and OpenSearch Service provisions the required hardware and takes care of software patching, failure recovery, backups, and monitoring.

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Use Amazon Athena with Spark SQL for your open-source transactional table formats

AWS Big Data

These formats enable ACID (atomicity, consistency, isolation, durability) transactions, upserts, and deletes, and advanced features such as time travel and snapshots that were previously only available in data warehouses. For more information, refer to Amazon S3: Allows read and write access to objects in an S3 Bucket.

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

AWS Big Data

Apache Iceberg enables transactions on data lakes and can simplify data storage, management, ingestion, and processing. 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.

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Improve operational efficiencies of Apache Iceberg tables built on Amazon S3 data lakes

AWS Big Data

To learn more about how to create an EMR cluster with Iceberg and use Amazon EMR Studio, refer to Use an Iceberg cluster with Spark and the Amazon EMR Studio Management Guide , respectively. In that case, we have to query the table with the snapshot-id corresponding to the deleted row. parquet") df.sortWithinPartitions("review_date").writeTo("dev.db.amazon_reviews_iceberg").append()

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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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Use Apache Iceberg in a data lake to support incremental data processing

AWS Big Data

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. Apache Iceberg addresses customer needs by capturing rich metadata information about the dataset at the time the individual data files are created.

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A Summary Of Gartner’s Recent Innovation Insight Into Data Observability

DataKitchen

On 20 July 2023, Gartner released the article “ Innovation Insight: Data Observability Enables Proactive Data Quality ” by Melody Chien. She sees Data Observability as an emerging technology in data engineering and management. It alerts data and analytics leaders to issues with their data before they multiply.