Remove Data Integration Remove Recreation/Entertainment Remove Snapshot
article thumbnail

Comparing DynamoDB and MongoDB for Big Data Management

Smart Data Collective

But MongoDB also offers filesystem snapshot backups and queryable backups. You don’t get queryable backup on DynamoDB and you might need to manually recreate many configurations that are not backed up. DynamoDB is a bit more limited and complicated to manage as indexes are sized, billed, and provisioned separately from your data.

Big Data 132
article thumbnail

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

AWS Big Data

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. This can be a much less expensive operation compared to rewriting all the data files.

Data Lake 118
Insiders

Sign Up for our Newsletter

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

article thumbnail

Implement disaster recovery with Amazon Redshift

AWS Big Data

With built-in features such as automated snapshots and cross-Region replication, you can enhance your disaster resilience with Amazon Redshift. Amazon Redshift supports two kinds of snapshots: automatic and manual, which can be used to recover data. Snapshots are point-in-time backups of the Redshift data warehouse.

article thumbnail

Data Observability and Monitoring with DataOps

DataKitchen

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. DataOps automation that focuses on lowering the rate of errors ensures continuous testing and improvement in data integrity. Writing Tests in Your Tool of Choice.

Testing 214
article thumbnail

Patterns for updating Amazon OpenSearch Service index settings and mappings

AWS Big Data

OpenSearch Service automatically assigns primary shards and replica shards to separate data nodes. 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. The source index can still be used for querying and processing the data.

Snapshot 102
article thumbnail

5 Reasons to Use Apache Iceberg on Cloudera Data Platform (CDP)

Cloudera

Figure 1: Apache Iceberg fits the next generation data architecture by abstracting storage layer from analytics layer while introducing net new capabilities like time-travel and partition evolution. #1: Apache Iceberg enables seamless integration between different streaming and processing engines while maintaining data integrity between them.

article thumbnail

Apache HBase online migration to Amazon EMR

AWS Big Data

Running HBase on Amazon S3 has several added benefits, including lower costs, data durability, and easier scalability. And during HBase migration, you can export the snapshot files to S3 and use them for recovery. HBase provided by other cloud platforms doesn’t support snapshots.

Snapshot 106