AWS Big Data Blog

Tag: Amazon Redshift

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 […]

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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 […]

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Bannerconnect uses Amazon Redshift to help clients improve digital marketing results

Bannerconnect uses programmatic marketing solutions that empower advertisers to win attention and customers by getting their ads seen by the right person at the right time and place. Data-driven insights help large advertisers, trade desks, and agencies boost brand awareness and maximize the results of their digital marketing. Timely analysis of log data is critical […]

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Running Amazon Payments analytics on Amazon Redshift with 750TB of data

The Amazon Payments Data Engineering team is responsible for data ingestion, transformation, and the computation and storage of data. It makes these services available for more than 300 business customers across the globe. These customers include product managers, marketing managers, program managers, data scientists, business analysts and software development engineers. They use the data for […]

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Scale your Amazon Redshift clusters up and down in minutes to get the performance you need, when you need it

Amazon Redshift is the cloud data warehouse of choice for organizations of all sizes—from fast-growing technology companies such as Turo and Yelp to Fortune 500 companies such as 21st Century Fox and Johnson & Johnson. With quickly expanding use cases, data sizes, and analyst populations, these customers have a critical need for scalable data warehouses. […]

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Create cross-account and cross-region AWS Glue connections

In this blog post, we describe how to configure the networking routes and interfaces to give AWS Glue access to a data store in an AWS Region different from the one with your AWS Glue resources. In our example, we connect AWS Glue, located in Region A, to an Amazon Redshift data warehouse located in Region B.

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Closing the customer journey loop with Amazon Redshift at Equinox Fitness Clubs

Clickstream analysis tools handle their data well, and some even have impressive BI interfaces. However, analyzing clickstream data in isolation comes with many limitations. For example, a customer is interested in a product or service on your website. They go to your physical store to purchase it. The clickstream analyst asks, “What happened after they […]

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Getting started: Training resources for Big Data on AWS

Whether you’ve just signed up for your first AWS account or you’ve been with us for some time, there’s always something new to learn as our services evolve to meet the ever-changing needs of our customers. To help ensure you’re set up for success as you build with AWS, we put together this quick reference guide for Big Data training and resources available here on the AWS site.

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Create data science environments on AWS for health analysis using OHDSI

This blog post demonstrates how to combine some of the OHDSI projects (Atlas, Achilles, WebAPI, and the OMOP Common Data Model) with AWS technologies. By doing so, you can quickly and inexpensively implement a health data science and informatics environment.

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