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

AWS Big Data

Over the years, data lakes on Amazon Simple Storage Service (Amazon S3) have become the default repository for enterprise data and are a common choice for a large set of users who query data for a variety of analytics and machine leaning use cases. Analytics use cases on data lakes are always evolving.

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

AWS Big Data

Tracking data changes and rollback Build your transactional data lake on AWS You can build your modern data architecture with a scalable data lake that integrates seamlessly with an Amazon Redshift powered cloud warehouse. For example, from 2023/02/20 14:40:41 to 2023-02-20 14:40:41.000 UTC.

Data Lake 103
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Load data incrementally from transactional data lakes to data warehouses

AWS Big Data

Data lakes and data warehouses are two of the most important data storage and management technologies in a modern data architecture. Data lakes store all of an organization’s data, regardless of its format or structure. AWS Glue supports the Redshift MERGE SQL command within its data integration jobs.

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Implement slowly changing dimensions in a data lake using AWS Glue and Delta

AWS Big Data

This post is designed to be implemented for a real customer use case, where you get full snapshot data on a daily basis. employee" where delete_flag=true and date_format(CAST(end_date AS date),'%Y/%m') ='2023/03' Note: Update the correct database name from the CloudFormation output before running the above query.

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How Swisscom automated Amazon Redshift as part of their One Data Platform solution using AWS CDK – Part 2

AWS Big Data

At 2023 AWS re:Invent , AWS announced a new connection option to Amazon Redshift based on AWS IAM Identity Center. He has over 20 years of experience in software engineering, software architecture, and cloud architecture. He has over 25 years of experience in Enterprise data architecture, databases and data warehousing.

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A Summary Of Gartner’s Recent Innovation Insight Into Data Observability

DataKitchen

On 20 July 2023, Gartner released the article “ Innovation Insight: Data Observability Enables Proactive Data Quality ” by Melody Chien. It alerts data and analytics leaders to issues with their data before they multiply. Are problems with data tests? Which report tab is wrong? When did it last run?