How to Become a Data Engineer

The work of data engineers is extremely technical. They are responsible for designing and maintaining the architecture of data systems, which incorporates concepts ranging from analytic infrastructures to data warehouses. A data engineer needs to have a solid understanding of commonly used scripting languages and is expected to support the steady evolution of improved Data Quality,…

Read More

The AI Playbook: Providing Important Reminders to Data Professionals

Eric Siegel’s “The AI Playbook” serves as a crucial guide, offering important insights for data professionals and their internal customers on effectively leveraging AI within business operations. The book, which comes out on February 6th, and its insights are captured in six statements: — Determine the value— Establish a prediction goal— Establish evaluation metrics— Prepare…

Read More

2023 DATAVERSITY Top 20

As the year draws to a close, we here at DATAVERSITY have an annual tradition of digging deep into our data and reflecting on the hits and misses. What was the most popular Data Management content on dataversity.net and our training center over the past 12 months? Which core topics did you – our data…

Read More

SambaNova Systems Demo: Generative AI Models – Go Big or Go Home

Download the slides here>> Small Generative AI models were first introduced last November. A year out, where are we in the evolution toward Pervasive AI? Spoiler alert: big. We’re going big. What can you do with a 5 trillion parameter model? We’ll give you food for thought in a demo of SambaNova Suite. How can…

Read More