AWS Big Data Blog

Tag: Amazon Redshift

Automate Amazon Redshift cluster creation using AWS CloudFormation

In this post, I explain how to automate the deployment of an Amazon Redshift cluster in an AWS account. AWS best practices for security and high availability drive the cluster’s configuration, and you can create it quickly by using AWS CloudFormation. I walk you through a set of sample CloudFormation templates, which you can customize as per your needs.

Read More

How to migrate a large data warehouse from IBM Netezza to Amazon Redshift with no downtime

In this article, we explain how this customer performed a large-scale data warehouse migration from IBM Netezza to Amazon Redshift without downtime, by following a thoroughly planned migration process, and leveraging AWS Schema Conversion Tool (SCT) and Amazon Redshift best practices.

Read More

Bringing your stored procedures to Amazon Redshift

Amazon always works backwards from the customer’s needs. Customers have made strong requests that they want stored procedures in Amazon Redshift, to make it easier to migrate their existing workloads from legacy, on-premises data warehouses.

With that primary goal in mind, AWS chose to implement PL/pqSQL stored procedure to maximize compatibility with existing procedures and simplify migrations. In this post, we discuss how and where to use stored procedures to improve operational efficiency and security. We also explain how to use stored procedures with AWS Schema Conversion Tool.

Read More

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.

Read More

How 3M Health Information Systems built a healthcare data reporting tool with Amazon Redshift

After reviewing many solutions, 3M HIS chose Amazon Redshift as the appropriate data warehouse solution. We concluded Amazon Redshift met our needs; a fast, fully managed, petabyte-scale data warehouse solution that uses columnar storage to minimize I/O, provides high data compression rates, and offers fast performance. We quickly spun up a cluster in our development environment, built out the dimensional model, loaded data, and made it available to perform benchmarking and testing of the user data. An extract, transform, load (ETL) tool was used to process and load the data from various sources into Amazon Redshift.

Read More

Query your Amazon Redshift cluster with the new Query Editor

Data warehousing is a critical component for analyzing and extracting actionable insights from your data. Amazon Redshift is a fast, scalable data warehouse that makes it cost-effective to analyze all of your data across your data warehouse and data lake. The Amazon Redshift console recently launched the Query Editor. The Query Editor is an in-browser […]

Read More

Federate Amazon Redshift access with Okta as an identity provider

Managing database users and access can be a daunting and error-prone task. In the past, database administrators had to determine which groups a user belongs to and which objects a user/group is authorized to use. These lists were maintained within the database and could easily get disjointed from the corporate directory. With federation, you can […]

Read More

Grant fine-grained access to the Amazon Redshift Management Console

As a fully managed service, Amazon Redshift is designed to be easy to set up and use. In this blog post, we demonstrate how to grant access to users in an operations group to perform only specific actions in the Amazon Redshift Management Console. If you implement a custom IAM policy, you can set it […]

Read More

Build a modern analytics stack optimized for sharing and collaborating with Mode and Amazon Redshift

Leading technology companies, such as Netflix and Airbnb, are building on AWS to solve problems on the edge of the data ecosystem. While these companies show us what data and analytics make possible, the complexity and scale of their problems aren’t typical. Most of our challenges aren’t figuring out how to process billions of records […]

Read More

How to enable cross-account Amazon Redshift COPY and Redshift Spectrum query for AWS KMS–encrypted data in Amazon S3

This post shows a step-by-step walkthrough of how to set up a cross-account Amazon Redshift COPY and Spectrum query using a sample dataset in Amazon S3. The sample dataset is encrypted at rest using AWS KMS-managed keys (SSE-KMS). About AWS Key Management Service (AWS KMS) With AWS Key Management Service (AWS KMS), you can have […]

Read More