article thumbnail

Use AWS Glue ETL to perform merge, partition evolution, and schema evolution on Apache Iceberg

AWS Big Data

Lake Formation helps you centrally manage, secure, and globally share data for analytics and machine learning. Iceberg creates snapshots for the table contents. Each snapshot is a complete set of data files in the table at a point in time.

Snapshot 117
article thumbnail

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

AWS Big Data

Snowflake integrates with AWS Glue Data Catalog to retrieve the snapshot location. In the event of a query, Snowflake uses the snapshot location from AWS Glue Data Catalog to read Iceberg table data in Amazon S3. She is passionate about data integration and orchestration, serverless and big data processing, and machine learning.

Insiders

Sign Up for our Newsletter

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

article thumbnail

How to Use Apache Iceberg in CDP’s Open Lakehouse

Cloudera

The general availability covers Iceberg running within some of the key data services in CDP, including Cloudera Data Warehouse ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). Cloudera Machine Learning . Let’s see the data as of the second snapshot: select year, count(*) from flights_v3.

article thumbnail

Growing Set of Case Studies for Data and Analytics

Andrew White

Here is a snapshot from our growing new set of data and analytics case studies. Analytics, BI and Data Science: Peer-Based Analytics Learning (ABB) 710371. Machine Learning and AI: How to Reveal the Business Value of Imperfect Data With AI (Avon) 710673. Machine Learning Literacy for Business Partners (Micron) 708383.

article thumbnail

Manage your data warehouse cost allocations with Amazon Redshift Serverless tagging

AWS Big Data

Developers, data scientists, and analysts can work across databases, data warehouses, and data lakes to build reporting and dashboarding applications, perform real-time analytics, share and collaborate on data, and even build and train machine learning (ML) models with Redshift Serverless.

article thumbnail

Power enterprise-grade Data Vaults with Amazon Redshift – Part 2

AWS Big Data

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

article thumbnail

From Hive Tables to Iceberg Tables: Hassle-Free

Cloudera

They also provide a “ snapshot” procedure that creates an Iceberg table with a different name with the same underlying data. You could first create a snapshot table, run sanity checks on the snapshot table, and ensure that everything is in order. As of this writing, the “__BACKUP__” suffix is hardcoded.