article thumbnail

Apache Iceberg optimization: Solving the small files problem in Amazon EMR

AWS Big Data

Compaction is the process of combining these small data and metadata files to improve performance and reduce cost. Performance of Iceberg reads with the compaction utility on Amazon EMR In the following steps, we demonstrate how to use the compaction utility and what performance benefits you can achieve.

article thumbnail

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

AWS Big Data

Moreover, many customers are looking for an architecture where they can combine the benefits of a data lake and a data warehouse in the same storage location. With Iceberg, ingestion, update, and querying processes can benefit from atomicity, snapshot isolation, and managing concurrency to keep a consistent view of data.

Data Lake 107
Insiders

Sign Up for our Newsletter

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

article thumbnail

Use Apache Iceberg in a data lake to support incremental data processing

AWS Big Data

Apache Iceberg is designed to support these features on cost-effective petabyte-scale data lakes on Amazon S3. Whenever there is an update to the Iceberg table, a new snapshot of the table is created, and the metadata pointer points to the current table metadata file. The snapshot points to the manifest list.

Data Lake 121
article thumbnail

Amazon OpenSearch Service H1 2023 in review

AWS Big Data

Since its release in January 2021, the OpenSearch project has released 14 versions through June 2023. With managed domains, you can use advanced capabilities at no extra cost such as cross-cluster search, cross-cluster replication, anomaly detection, semantic search, security analytics, and more. Additional field types OpenSearch 2.7

article thumbnail

How the Edge Is Changing Data-First Modernization

CIO Business Intelligence

To reap the benefits, organizations need to modernize with a decentralized data strategy that delivers the speed and flexibility necessary for driving smarter outcomes for the business. The concept of the edge is not new, but its role in driving data-first business is just now emerging. That’s the promise of edge computing.”.

IoT 94
article thumbnail

Financial Dashboard: Definition, Examples, and How-tos

FineReport

In this article, we will explore the concept of a financial dashboard, highlight its numerous benefits, and provide various kinds of financial dashboard examples for you to employ and explore. Download FineReport today and experience the benefits of visualizing and analyzing your financial data in a user-friendly and efficient manner.

article thumbnail

Materialized Views in Hive for Iceberg Table Format

Cloudera

Subsequently, these snapshot IDs are used to determine the delta changes that should be applied to the materialized view rows. Hive does this by asking the Iceberg library to return only the rows inserted since that table’s last snapshot when the materialized view was last rebuilt/created.