AWS Big Data Blog
Category: HAQM Redshift
Simplify and speed up Apache Spark applications on HAQM Redshift data with HAQM Redshift integration for Apache Spark
Customers use HAQM Redshift to run their business-critical analytics on petabytes of structured and semi-structured data. Apache Spark is a popular framework that you can use to build applications for use cases such as ETL (extract, transform, and load), interactive analytics, and machine learning (ML). Apache Spark enables you to build applications in a variety […]
How AWS Payments migrated from Redash to HAQM Redshift Query Editor v2
AWS Payments is part of the AWS Commerce Platform (CP) organization that owns the customer experience of paying AWS invoices. It helps AWS customers manage their payment methods and payment preferences, and helps customers make self-service payments to AWS. The Machine Learning, Data and Analytics (MLDA) team at AWS Payments enables data-driven decision-making across payments […]
How Tricentis unlocks insights across the software development lifecycle at speed and scale using HAQM Redshift
This is a guest post co-written with Parag Doshi, Guru Havanur, and Simon Guindon from Tricentis. Tricentis is a global leader in continuous testing for DevOps, cloud, and enterprise applications. It has been well published since the State of DevOps 2019 DORA Metrics were published that with DevOps, companies can deploy software 208 times more […]
Run queries concurrently and see query history using HAQM Redshift Query Editor v2
HAQM Redshift is a fast, fully managed, petabyte-scale cloud data warehouse. You have the flexibility to choose from provisioned and serverless compute modes. You can start loading and querying large datasets conveniently in HAQM Redshift using HAQM Redshift Query Editor v2, a web-based SQL client application. Query Editor v2 empowers your technical and business teams […]
Automate data archival for HAQM Redshift time series tables
HAQM Redshift is a fast, petabyte-scale cloud data warehouse that makes it simple and cost-effective to analyze all of your data using standard SQL. Tens of thousands of customers today rely on HAQM Redshift to analyze exabytes of data and run complex analytical queries, making it the most widely used cloud data warehouse. You can […]
Build and deploy custom connectors for HAQM Redshift with HAQM Lookout for Metrics
HAQM Lookout for Metrics detects outliers in your time series data, determines their root causes, and enables you to quickly take action. Built from the same technology used by HAQM.com, Lookout for Metrics reflects 20 years of expertise in outlier detection and machine learning (ML). Read our GitHub repo to learn more about how to […]
How Roche democratized access to data with Google Sheets and HAQM Redshift Data API
This post was co-written with Dr. Yannick Misteli, João Antunes, and Krzysztof Wisniewski from the Roche global Platform and ML engineering team as the lead authors. Roche is a Swiss multinational healthcare company that operates worldwide. Roche is the largest pharmaceutical company in the world and the leading provider of cancer treatments globally. In this […]
Accelerate self-service analytics with HAQM Redshift Query Editor V2
August 2023: This post was reviewed and updated with new features. HAQM Redshift is a fast, fully managed cloud data warehouse. Tens of thousands of customers use HAQM Redshift as their analytics platform. Users such as data analysts, database developers, and data scientists use SQL to analyze their data in HAQM Redshift data warehouses. HAQM […]
HAQM QuickSight deployment models for cross-account and cross-Region access to HAQM Redshift and HAQM RDS
Many AWS customers use multiple AWS accounts and Regions across different departments and applications within the same company. However, you might deploy services like HAQM QuickSight using a single-account approach to centralize users, data source access, and dashboard management. This post explores how you can use different HAQM Virtual Private Cloud (HAQM VPC) private connectivity features to connect QuickSight […]
How MEDHOST’s cardiac risk prediction successfully leveraged AWS analytic services
February 9, 2024: HAQM Kinesis Data Firehose has been renamed to HAQM Data Firehose. Read the AWS What’s New post to learn more. MEDHOST has been providing products and services to healthcare facilities of all types and sizes for over 35 years. Today, more than 1,000 healthcare facilities are partnering with MEDHOST and enhancing their […]