Category: Amazon Redshift

This blog post was updated in June, 2022 to update the entity relationship diagram. Building a highly performant data model for an enterprise data warehouse (EDW) has historically involved significant design, development, administration, and operational effort. Furthermore, the data model must be agile and adaptable to change while handling the largest volumes of data efficiently. […]

Amazon Redshift is the leading cloud data warehouse that delivers up to 3x better price performance compared to other cloud data warehouses by using massively parallel query execution, columnar storage on high-performance disks, and results caching. You can confidently run mission-critical workloads, even in highly regulated industries, because Amazon Redshift comes with out-of-the-box security and […]

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that enables you to analyze your data at scale. You can interact with an Amazon Redshift database in several different ways. One method is using an object-relational mapping (ORM) framework. ORM is widely used by developers as an abstraction layer upon the […]

This post was co-written with Alcuin Weidus, Principal Architect from GE Aviation. GE Aviation, an operating unit of GE, is a world-leading provider of jet and turboprop engines, as well as integrated systems for commercial, military, business, and general aviation aircraft. GE Aviation has a global service network to support these offerings. From the turbosupercharger […]

CI/CD in the context of application development is a well-understood topic, and developers can choose from numerous patterns and tools to build their pipelines to handle the build, test, and deploy cycle when a new commit gets into version control. For stored procedures or even schema changes that are directly related to the application, this […]

August 2023: This post was reviewed and updated with new features. Amazon Redshift is a fast, fully managed cloud data warehouse. Tens of thousands of customers use Amazon Redshift as their analytics platform. Users such as data analysts, database developers, and data scientists use SQL to analyze their data in Amazon Redshift data warehouses. Amazon […]

In a hierarchical database model, information is stored in a tree-like structure or parent-child structure, where each record can have a single parent but many children. Hierarchical databases are useful when you need to represent data in a tree-like hierarchy. The perfect example of a hierarchical data model is the navigation file and folders or […]

Nearly all businesses today require some form of data analytics processing, from auditing user access to generating sales reports. For all your analytics needs, the Data Analytics Lens for AWS Well-Architected Framework provides prescriptive guidance to help you assess your workloads and identify best practices aligned to the AWS Well-Architected Pillars: Operational Excellence, Security, Reliability, […]

Amazon Redshift is a fast, petabyte-scale cloud data warehouse delivering the best price-performance. It allows you to run complex analytic queries against terabytes to petabytes of structured and semi-structured data, using sophisticated query optimization, columnar on high-performance storage, and massively parallel query execution. At AWS, we embrace the culture that security is job zero, by […]

Traditionally, read replicas of relational databases are often used as a data source for non-online transactions of web applications such as reporting, business analysis, ad hoc queries, operational excellence, and customer services. Due to the exponential growth of data volume, it became common practice to replace such read replicas with data warehouses or data lakes […]