AWS Big Data Blog

Thiyagarajan Arumugam

Author: Thiyagarajan Arumugam

Cybersecurity Awareness Month: Learn about the job zero of securing your data using Amazon Redshift

Amazon Redshift is the most widely used cloud data warehouse. It allows you to run complex analytic queries against terabytes to petabytes of structured and semi-structured data, using sophisticated query optimization, columnar on high-performance storage, and massively parallel query execution. At AWS, we embrace the culture that security is job zero, by which we mean […]

Working with timestamp with time zone in your Amazon S3-based data lake

With a data lake built on Amazon Simple Storage Service (Amazon S3), you can use the purpose-built analytics services for a range of use cases, from analyzing petabyte-scale datasets to querying the metadata of a single object. AWS analytics services support open file formats such as Parquet, ORC, JSON, Avro, CSV, and more, so it’s […]

Orchestrate an ETL process using AWS Step Functions for Amazon Redshift

Modern data lakes depend on extract, transform, and load (ETL) operations to convert bulk information into usable data. This post walks through implementing an ETL orchestration process that is loosely coupled using AWS Step Functions, AWS Lambda, and AWS Batch to target an Amazon Redshift cluster.

Top 8 Best Practices for High-Performance ETL Processing Using Amazon Redshift

When migrating from a legacy data warehouse to Amazon Redshift, it is tempting to adopt a lift-and-shift approach, but this can result in performance and scale issues long term. This post guides you through the following best practices for ensuring optimal, consistent runtimes for your ETL processes.

Federate Database User Authentication Easily with IAM and Amazon Redshift

Managing database users though federation allows you to manage authentication and authorization procedures centrally. Amazon Redshift now supports database authentication with IAM, enabling user authentication though enterprise federation. In this post, I demonstrate how you can extend the federation to enable single sign-on (SSO) to the Amazon Redshift data warehouse.