AWS Big Data Blog

Category: RDS for MySQL

Data preparation using an Amazon RDS for MySQL database with AWS Glue DataBrew

With AWS Glue DataBrew, data analysts and data scientists can easily access and visually explore any amount of data across their organization directly from their Amazon Simple Storage Service (Amazon S3) data lake, Amazon Redshift data warehouse, or Amazon Aurora and Amazon Relational Database Service (Amazon RDS) databases. You can choose from over 250 built-in […]

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Connect to and run ETL jobs across multiple VPCs using a dedicated AWS Glue VPC

In this blog post, we’ll go through the steps needed to build an ETL pipeline that consumes from one source in one VPC and outputs it to another source in a different VPC. We’ll set up in multiple VPCs to reproduce a situation where your database instances are in multiple VPCs for isolation related to security, audit, or other purposes.

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Migrate RDBMS or On-Premise data to EMR Hive, S3, and Amazon Redshift using EMR – Sqoop

This blog post shows how our customers can benefit by using the Apache Sqoop tool. This tool is designed to transfer and import data from a Relational Database Management System (RDBMS) into AWS – EMR Hadoop Distributed File System (HDFS), transform the data in Hadoop, and then export the data into a Data Warehouse (e.g. in Hive or Amazon Redshift).

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