Tag: HAQM Redshift

A few months ago, we published a blog post about capturing data changes in an HAQM Aurora database and sending it to HAQM Athena and HAQM QuickSight for fast analysis and visualization. In this post, I want to demonstrate how easy it can be to take the data in Aurora and combine it with data in HAQM Redshift using HAQM Redshift Spectrum.

After loading new data into an HAQM Redshift cluster, statistics need to be re-computed to guarantee performant query plans. By learning which column statistics are actually being used by the customer’s workload and collecting statistics only on those columns, HAQM Redshift is able to significantly reduce the amount of time needed for table maintenance during data loading workflows.

This is a guest post by Rafi Ton, founder and CEO of NUVIAD. The ability to provide fresh, up-to-the-minute data to our customers and partners was always a main goal with our platform. We saw other solutions provide data that was a few hours old, but this was not good enough for us. We insisted on providing the freshest data possible. For us, that meant loading HAQM Redshift in frequent micro batches and allowing our customers to query HAQM Redshift directly to get results in near real time. The benefits were immediately evident. Our customers could see how their campaigns performed faster than with other solutions, and react sooner to the ever-changing media supply pricing and availability. They were very happy.

Data security is paramount in many industries. Organizations that shift their IT infrastructure to the cloud must ensure that their data is protected and that the attack surface is minimized. This post focuses on a method of securely loading a subset of data from one HAQM Redshift cluster to another HAQM Redshift cluster that is located in a different AWS account.

Managing database users though federation allows you to manage authentication and authorization procedures centrally. HAQM 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 HAQM Redshift data warehouse.

Today, we are making our Dense Compute (DC) family faster and more cost-effective with new second-generation Dense Compute (DC2) nodes at the same price as our previous generation DC1. DC2 is designed for demanding data warehousing workloads that require low latency and high throughput. DC2 features powerful Intel E5-2686 v4 (Broadwell) CPUs, fast DDR4 memory, and NVMe-based solid state disks.

Achieving a 360o-view of your customer has become increasingly challenging as companies embrace omni-channel strategies, engaging customers across websites, mobile, call centers, social media, physical sites, and beyond. The promise of a web where online and physical worlds blend makes understanding your customers more challenging, but also more important. Businesses that are successful in this […]

This is a guest post by Jeremy Winters and Ritu Mishra, Solution Architects at Full 360. In their own words, “Full 360 is a cloud first, cloud native integrator, and true believers in the cloud since inception in 2007, our focus has been on helping customers with their journey into the cloud. Our practice areas […]

One of the benefits of a data warehouse environment using both HAQM Redshift and HAQM RDS for PostgreSQL is that you can leverage the advantages of each service. HAQM Redshift is a high performance, petabyte-scale data warehouse service optimized for the online analytical processing (OLAP) queries typical of analytic reporting and business intelligence applications. On […]

When we first looked into the possibility of building a cloud-based data warehouse many years ago, we were struck by the fact that our customers were storing ever-increasing amounts of data, and yet only a small fraction of that data ever made it into a data warehouse or Hadoop system for analysis. We saw that […]