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End-to-end development lifecycle for data engineers to build a data integration pipeline using AWS Glue

AWS Big Data

Many AWS customers have integrated their data across multiple data sources using AWS Glue , a serverless data integration service, in order to make data-driven business decisions. Are there recommended approaches to provisioning components for data integration?

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Use Apache Iceberg in your data lake with Amazon S3, AWS Glue, and Snowflake

AWS Big Data

Manage your Iceberg table with AWS Glue You can use AWS Glue to ingest, catalog, transform, and manage the data on Amazon Simple Storage Service (Amazon S3). With AWS Glue, you can discover and connect to more than 70 diverse data sources and manage your data in a centralized data catalog. Nidhi Gupta is a Sr.

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

AWS Big Data

An in-place migration can be performed in either of two ways: Using add_files : This procedure adds existing data files to an existing Iceberg table with a new snapshot that includes the files. Unlike migrate or snapshot, add_files can import files from a specific partition or partitions and doesn’t create a new Iceberg table.

Data Lake 101
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A Closer Look at The Next Phase of Cloudera’s Hybrid Data Lakehouse

Cloudera

With built-in features like time travel, schema evolution, and streamlined data discovery, Iceberg empowers data teams to enhance data lake management while upholding data integrity. Zero Downtime Upgrades Beyond improvements to Iceberg and Ozone, the platform now boasts Zero Downtime Upgrades (ZDU).

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Comparing DynamoDB and MongoDB for Big Data Management

Smart Data Collective

But MongoDB also offers filesystem snapshot backups and queryable backups. DynamoDB is a bit more limited and complicated to manage as indexes are sized, billed, and provisioned separately from your data. Applications might end up handling stale data as global secondary indexes (GSIs) be inconsistent with underlying data.

Big Data 109
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Patterns for updating Amazon OpenSearch Service index settings and mappings

AWS Big Data

Use the reindex API operation The _reindex operation snapshots the index at the beginning of its run and performs processing on a snapshot to minimize impact on the source index. The source index can still be used for querying and processing the data. See the following API command: POST _reindex?

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iostudio delivers key metrics to public sector recruiters with Amazon QuickSight

AWS Big Data

Our previous solution offered visualization of key metrics, but point-in-time snapshots produced only in PDF format. Our client had previously been using a data integration tool called Pentaho to get data from different sources into one place, which wasn’t an optimal solution.

Metrics 97