Category: AWS Glue
Businesses need near realtime access to the latest data and metadata available from many silos to perform analytics. AWS Glue is a serverless data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning (ML) and application development. AWS Glue Data Catalog is a centralized […]
Businesses such as Paxos that issue stablecoin USD tokens want to find a way to identify common token metrics such as top holders, daily active users, daily volume, total number of holders, latest transfers, top Decentralized Finance (DeFi) protocols the tokens have been used on, and more. With Amazon Managed Blockchain (AMB) Query and Amazon […]
This is a two-part series. In this post, we explain three archival solutions that allow you to archive Oracle data into Amazon Simple Storage Service (Amazon S3). In Part 2 of this series, we explain three archival solutions using native Oracle products and utilities. All of these options allow you to join current Oracle data with archived data.
Transform and migrate data from a relational to non-relational database using an AWS Glue Spark ETL job
This post describes a methodology to transform and migrate data from a relational database like Amazon Relational Database Service (Amazon RDS) for MySQL to a non-relational database like Amazon DocumentDB (with MongoDB compatibility) using AWS Glue.
Migrate an Informix database to Amazon Aurora PostgreSQL using CData Connect Cloud from within AWS Glue Studio
Amazon Aurora PostgreSQL-Compatible Edition is a fully managed PostgreSQL-compatible database engine running in AWS and is a drop-in replacement for PostgreSQL. Aurora PostgreSQL is cost-effective to set up, operate, and scale, and can be deployed for new or existing applications. Informix is a relational database management system from IBM and supports OLTP and other workloads. […]
When you migrate Microsoft SQL Server workloads to AWS, you might want to automate migration and minimize changes to existing applications, but still use a cost-effective option without commercial licenses and reduce operational overhead. For example, SQL Server workloads often use SQL Server Integration Services (SSIS) to extract, transform, and load (ETL) data. In this […]
Over the last few years, organizations have started adopting a cloud first strategy, and we are seeing enterprises migrate their mission-critical applications, along with their data platforms, to the cloud. Occasionally, organizations need guidance in selecting the right service and solution in the cloud, along with an approach to assist with the migration. In this […]
In this post, we show you how to use AWS Glue to perform vertical partitioning of JSON documents when migrating document data from Amazon Simple Storage Service (Amazon S3) to Amazon DynamoDB. You can use this technique for other data sources, including relational and NoSQL databases. DynamoDB can store and retrieve any amount of data, […]
Amazon Quantum Ledger Database (Amazon QLDB) is a fully managed ledger database that maintains a complete, immutable record of every change committed to the database. As transactions are committed to the database, they are appended to a transaction log called a journal and are cryptographically hash-chained to the previous transaction. Once committed, the record of […]
To take advantage of the performance, security, and scale of Amazon DynamoDB, customers want to migrate their data from their existing NoSQL databases in a way that is cost-optimized and performant. In this post, we show you how to migrate data from Azure Cosmos DB to Amazon DynamoDB through an offline migration approach using AWS […]