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Smarten Augmented Analytics is Named as a Representative Vendor in Gartner® 2023 ‘Market Guide for Augmented Analytics, Published October, 2023!

Smarten

Smarten is pleased to announce that its Smarten Augmented Analytics solution is included as a Representative Vendor in the Market Guide for Augmented Analytics Published October 2, 2023 (ID G00780764).

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

AWS Big Data

AWS-powered data lakes, supported by the unmatched availability of Amazon Simple Storage Service (Amazon S3), can handle the scale, agility, and flexibility required to combine different data and analytics approaches. It will never remove files that are still required by a non-expired snapshot.

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

AWS Big Data

You can store your data as-is, without having to first structure the data and then run different types of analytics for better business insights. Analytics use cases on data lakes are always evolving. Unlike migrate or snapshot, add_files can import files from a specific partition or partitions and doesn’t create a new Iceberg table.

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Achieve near real time operational analytics using Amazon Aurora PostgreSQL zero-ETL integration with Amazon Redshift

AWS Big Data

When data is used to improve customer experiences and drive innovation, it can lead to business growth,” – Swami Sivasubramanian , VP of Database, Analytics, and Machine Learning at AWS in With a zero-ETL approach, AWS is helping builders realize near-real-time analytics. Ongoing changes will be synced in near real time.

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

AWS Big Data

For more information on streaming applications on AWS, refer to Real-time Data Streaming and Analytics. Check the snapshot table to see that a new snapshot is created for the table with the operation replace. For every successful run of the background optimize job, a new entry will be added to the snapshot table.

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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 integration is supported by AWS analytics services including Amazon EMR , Amazon Athena , and AWS Glue. The snapshot points to the manifest list.

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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 managed domains, you can use advanced capabilities at no extra cost such as cross-cluster search, cross-cluster replication, anomaly detection, semantic search, security analytics, and more.