Remove Metrics Remove Recreation/Entertainment Remove Snapshot
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Accelerate your migration to Amazon OpenSearch Service with Reindexing-from-Snapshot

AWS Big Data

In this post, we will introduce a new mechanism called Reindexing-from-Snapshot (RFS), and explain how it can address your concerns and simplify migrating to OpenSearch. Documents are parsed from the snapshot and then reindexed to the target cluster, so that performance impact to the source clusters is minimized during migration.

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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. Iceberg creates snapshots for the table contents. Each snapshot is a complete set of data files in the table at a point in time.

Snapshot 132
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Evaluating sample Amazon Redshift data sharing architecture using Redshift Test Drive and advanced SQL analysis

AWS Big Data

Both utilities unload the performance metrics from the replay of the source workload on the target configuration(s) to Amazon Simple Storage Service (Amazon S3), which is used as a storage to store the performance metrics. Launch the producer warehouse by restoring the snapshot to a 32 RPU serverless namespace.

Testing 111
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Patterns for updating Amazon OpenSearch Service index settings and mappings

AWS Big Data

It’s not possible to increase the primary shard number of an existing index, meaning an index must be recreated if you want to increase the primary shard count. Check the disk.avail metric for hot storage tier nodes to validate your available disk space. The _reindex operation is resource intensive.

Snapshot 115
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Data Observability and Monitoring with DataOps

DataKitchen

Some will argue that observability is nothing more than testing and monitoring applications using tests, metrics, logs, and other artifacts. These labor-intensive evaluations of data quality can only be performed periodically, so at best they provide a snapshot of quality at a particular time. Writing Tests in Your Tool of Choice.

Testing 214
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Choosing an open table format for your transactional data lake on AWS

AWS Big Data

Offers different query types , allowing to prioritize data freshness (Snapshot Query) or read performance (Read Optimized Query). Snapshot queries on Merge On Read tables have higher query latencies than on Copy On Write tables. A new view has to be created (or recreated) for reading changes from new snapshots.

Data Lake 130