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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. Grant the IAM role used in the Athena workgroup s3:DeleteObject permission to an S3 bucket and prefix for cleanup.

Snapshot 101
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Streaming Ingestion for Apache Iceberg With Cloudera Stream Processing

Cloudera

By providing this option, SSB will automatically configure all the required Hive-specific properties, and if it’s an external cluster in case of CDP Public Cloud it will also download the Hive configuration files from the other cluster.

Snapshot 116
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BI Cubed: Data Lineage on OLAP Anyone?

Octopai

How much time has your BI team wasted on finding data and creating metadata management reports? BI groups spend more than 50% of their time and effort manually searching for metadata. It’s a snapshot of data at a specific point in time, at the end of a day, week, month or year. Why is Data Lineage Key to Your Enterprise?

OLAP 56
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Amazon OpenSearch Service Under the Hood : OpenSearch Optimized Instances(OR1)

AWS Big Data

The following diagram illustrates an indexing flow involving a metadata update in OR1 During indexing operations, individual documents are indexed into Lucene and also appended to a write-ahead log also known as a translog. The replica copies subsequently download newer segments and make them searchable.

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Enforce fine-grained access control on Open Table Formats via Amazon EMR integrated with AWS Lake Formation

AWS Big Data

The key idea behind incremental queries is to use metadata or change tracking mechanisms to identify the new or modified data since the last query. Prerequisites You can download the three notebooks used in this post from the GitHub repo. Download the notebook rsv2-hudi-db-creator-notebook. Choose the domain -Studio-EMR-LF-Hudi.

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Build a serverless transactional data lake with Apache Iceberg, Amazon EMR Serverless, and Amazon Athena

AWS Big Data

Iceberg employs internal metadata management that keeps track of data and empowers a set of rich features at scale. The Data Catalog provides a central location to govern and keep track of the schema and metadata. Additionally, you can query in Athena based on the version ID of a snapshot in Iceberg. and update-item.py.

Data Lake 103
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Amazon DataZone now integrates with AWS Glue Data Quality and external data quality solutions

AWS Big Data

By selecting the corresponding asset, you can understand its content through the readme, glossary terms , and technical and business metadata. By analyzing the historical report snapshot, you can identify areas for improvement, implement changes, and measure the effectiveness of those changes. Add the EMR role as a contributor.