Remove Information Remove Snapshot Remove Technology
article thumbnail

Achieve data resilience using Amazon OpenSearch Service disaster recovery with snapshot and restore

AWS Big Data

This post focuses on introducing an active-passive approach using a snapshot and restore strategy. Snapshot and restore in OpenSearch Service The snapshot and restore strategy in OpenSearch Service involves creating point-in-time backups, known as snapshots , of your OpenSearch domain.

Snapshot 111
article thumbnail

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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Manage concurrent write conflicts in Apache Iceberg on the AWS Glue Data Catalog

AWS Big Data

Metadata layer Contains metadata files that track table history, schema evolution, and snapshot information. In many operations (like OVERWRITE, MERGE, and DELETE), the query engine needs to know which files or rows are relevant, so it reads the current table snapshot. These files are also stored on Amazon S3.

Snapshot 138
article thumbnail

Use open table format libraries on AWS Glue 5.0 for Apache Spark

AWS Big Data

Branching Branches are independent lineage of snapshot history that point to the head of each lineage. An Iceberg table’s metadata stores a history of snapshots, which are updated with each transaction. Iceberg implements features such as table versioning and concurrency control through the lineage of these snapshots.

article thumbnail

Build a high-performance quant research platform with Apache Iceberg

AWS Big Data

Iceberg provides time travel and snapshotting capabilities out of the box to manage lookahead bias that could be embedded in the data (such as delayed data delivery). Icebergs time travel capability is driven by a concept called snapshots , which are recorded in metadata files.

Metadata 111
article thumbnail

Building end-to-end data lineage for one-time and complex queries using Amazon Athena, Amazon Redshift, Amazon Neptune and dbt

AWS Big Data

Using a single dbt modeling language not only simplifies the development process but also automatically generates consistent data lineage information. AWS Glue crawler crawls data lake information from Amazon S3, generating a Data Catalog to support dbt on Amazon Athena data modeling. hasLabel('lineage_node').outE('lineage_edge').inV().hasLabel('lineage_node').path().by(elementMap())

article thumbnail

Apply Modern CRM Dashboards & Reports Into Your Business – Examples & Templates

datapine

A CRM dashboard is a centralized hub of information that presents customer relationship management data in a way that is dynamic, interactive, and offers access to a wealth of insights that can improve your consumer-facing strategies and communications. Let’s look at this in more detail. What Is A CRM Report?