Systems | Development | Analytics | API | Testing

The Art of Data Leadership | A discussion with Cloudera's CDAO, Shayde Christian

In this episode of The Art of Data Leadership series, Shayde Christian hands over hosting duties to Hannah Smalltree to explore the very nature of today’s CDAO, from how AI will influence the role to the critical skill of storytelling to help drive and expand business value.

How to Make a REST API

REST APIs have become the backbone of modern software applications, enabling seamless communication between systems and ensuring data consistency. In particular, REST APIs are useful for ETL (extract, transform, load) and data integration workflows. They make it easy to exchange information between various websites, databases, and SaaS (software as a service) applications.

Yellowfin Cool Features Part 2: Broadcast and Bookmark

In this blog series, Yellowfin Chief Technology Officer (CTO) Brad Scarff breaks down some of the coolest and most unique features of the Yellowfin embedded analytics suite. What if you could automate the delivery of reports on set schedules? What if you could create save states of all your report filters and drill-downs? Yellowfin allows just that.

ETL and Data Warehousing Explained: ETL Tool Basics

Understanding ETL (extract, transform, and load) and data warehousing is essential for data engineering and analysis. As businesses generate large amounts of data from different sources, efficient data integration and storage solutions become crucial. This article breaks down ETL and data warehousing, providing insights into the tools, techniques, and best practices that drive modern data engineering.

Four Ways Telcos Can Realize Data-Driven Transformation

Telecommunications companies are currently executing on ambitious digital transformation, network transformation, and AI-driven automation efforts. While navigating so many simultaneous data-dependent transformations, they must balance the need to level up their data management practices—accelerating the rate at which they ingest, manage, prepare, and analyze data—with that of governing this data.