Data architecture

Data warehouse architecture is changing. Learn about traditional EDW vs. cloud-based architectures with lower upfront cost, improved scalability and performance.

A bit of an old post by Venu Anuganti putting in the same diagram different components involved in a Big Data architecture. Any data architecture loosely consists of four major logical components: I...

Data Management Best Practices - infographic

Insight, not hindsight is the essence of predictive analytics. How organizations instrument, capture, create and use data to predict next steps/actions is fundamentally changing the dynamics of wo…

This article defines data governance, explains why it is important, examines the main challenges and gives best practices advice.

The definition of a company’s assets has changed over the years. It has moved from physical buildings to virtual assets like intellectual property. But, few companies realize how important their data is. Increased sharing of company data necessitates companies to develop solid framework of regulations to regulate how data is handled, managed, and processed. This requires the input of all peoples who are exposed to the data. Data governance extends to physical storage of the data to policies…

Image 3 of 12 from gallery of Learning by Doing: Architecture Thesis Projects that Break the Mold. Liquid Babel / Mikhal Frantsuzov

Setting up data quality management seems to be a blurry task? We show what a well-organized process looks like and enumerate the required tools. These best practices will help you improve the quality of your data and, ultimately, your decisions.

Image 28 of 32 from gallery of 4 Tiny Houses Selected as Winners in the Ryterna modul Architectural Challenge 2018. Honorable Mention: Project ATN by Clarence Zichen Qian. Image Courtesy of Ryterna modul