Category: Amazon Redshift

This is post is co-authored by Jyothin Madari, Madhusudhan Muppagowni and Ayush Srivastava from GE. GE Proficy Manufacturing Data Cloud (MDC), part of the GE Digital’s Manufacturing Execution Systems (MES) suite of solutions, allows GED’s customers to increase the derived value easily and quickly from the MES by reliably bringing enterprise-wide manufacturing data into the […]

This is a guest post by Dhanraj Gaikwad, Principal Engineer on Dream11 Data Engineering team. Dream11 is the world’s largest fantasy sports platform, with over 120 million users playing fantasy cricket, football, kabaddi, basketball, hockey, volleyball, handball, rugby, futsal, American football, and baseball. Dream11 is the flagship brand of Dream Sports, India’s leading Sports Technology […]

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. You can start with just a few hundred gigabytes of data and scale to a petabyte or more. This enables you to use your data to acquire new insights for your business and customers. Over the years, Amazon Redshift has evolved a […]

Enterprises typically host a myriad of business applications for varying data needs. As companies grow, so does the demand for insights from a complete set of business data. Having data from various applications that store data in disparate silos can delay the decision-making process. However, building and maintaining an API integration or a third-party extract, […]

Amazon Redshift is a fast, petabyte-scale cloud data warehouse delivering the best price–performance. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Amazon Redshift ML, powered by Amazon SageMaker, makes it easy for SQL users such as data analysts, data scientists, and database developers […]

Amazon Redshift query editor v2 is a web-based SQL client application that you can use to author and run queries on your Amazon Redshift data warehouse. You can visualize query results with charts and collaborate by sharing queries with members of your team. You can use query editor v2 to create databases, schemas, tables, and […]

In the first post of this series, Federate access to your Amazon Redshift cluster with Active Directory Federation Services (AD FS): Part 1, you set up Microsoft Active Directory Federation Services (AD FS) and Security Assertion Markup Language (SAML) based authentication and tested the SAML federation using a web browser. In Part 2, you learned […]

Email is one of the most important methods for business communication across many organizations. It’s also one of the primary methods for many businesses to communicate with their customers. With the ever-increasing necessity to send emails at scale, monitoring and analysis has become a major challenge. Amazon Simple Email Service (Amazon SES) is a cost-effective, […]

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. With real-time information about customers, products, and applications in hand, organizations can take action as events happen in their business application. For example, you can prevent financial fraud, deliver personalized offers, and […]

Data lakes use a ring of purpose-built data services around a central data lake. Data needs to move between these services and data stores easily and securely. The following are some examples of such services: Amazon Simple Storage Service (Amazon S3), which stores structured, unstructured, and semi-structured data Amazon Redshift, a fully managed, petabyte-scale data […]