If you decide to integrate data engineering best practices, you can help your team move faster while potentially reducing costs and increasing productivity.

I highly recommend checking out the insights into the adoption of engineering tools from Data Ingestion, transformation to reverse ETL and Data Catalogs. That section was my highlight.

AI-powered low-code and no-code platforms are revolutionising all stages of the data lifecycle, enabling technical and ...

The 10 Coolest Big Data Tools Of 2024 (So Far) include Databrickes LakeFlow, MotherDuck and Starburst Galaxy Icehouse.

Updates to Informatica's Intelligent Data Management Cloud (IDMC) are meant to maximize efficiency of an enterprise to handle complex challenges such as data integration, management and engineering.

Tristan Handy is a lot of things: co-creator of dbt, founder and CEO of dbt Labs, and self-described “startup person.” But besides leading dbt Labs to a $4 billion valuation, he is one more thing: An ...

Trifacta, the global leader in data preparation, today announced a major expansion to its platform to deliver the industry’s first data engineering cl ...

Many enterprises, vendors, and startups often confuse the role of data scientist and data engineers. While the overlap of these roles is substantial they’re not particularly interchangeable.

Several modern data engineering tools, such as docker containers, Spark, Airflow, and MLFlow, will be covered. This course is reserved for students pursuing the M c Cormick Machine Learning and Data ...

Collaboration: Collaboration capabilities are vital for data engineering tools, enabling cooperation among data engineers, data scientists, business analysts and end users.