This site uses cookies to improve your experience. By viewing our content, you are accepting the use of cookies. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country we will assume you are from the United States. View our privacy policy and terms of use.

Remove 2005 Remove Dashboards Remove Data Analytics Remove Metadata
article thumbnail

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

AWS Big Data

MARCH 2, 2023

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback.

Data Lake 120
Data Lake Data Processing Metadata Snapshot 120
article thumbnail

Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

AWS Big Data

OCTOBER 11, 2023

In this post, we discuss ways to modernize your legacy, on-premises, real-time analytics architecture to build serverless data analytics solutions on AWS using Amazon Managed Service for Apache Flink. It shows a call center streaming data source that sends the latest call center feed in every 15 seconds.

Management 109
Management Metadata Analytics Dashboards 109
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

 

Stay Connected

Join 52,000+ Insiders by signing up for our newsletter

About
Webinars
Awards
About
Editions
Webinars
Awards
Editions
Topics
LinkedIn Twitter
Powered by Aggregage | Terms and Conditions | Your California Rights and Privacy Policy
© Aggregage 2024