Maria Anurag Reddy Basani, a seasoned expert in data engineering and analytics, has made significant strides in the field over the past decade. With experience spanning industries such as ...

As a result, data engineering has become pivotal in today’s data-driven enterprise as businesses need to design, build and maintain systems that enable the effective collection, storage ...

Because the right ETL platform doesn’t just process data — it creates momentum. And sometimes, real progress means choosing the best imperfect tool today, so you can move fast enough to make ...

Traditional data engineering approaches struggle with this complexity. While conventional ETL pipelines excel at processing structured data, they falter when confronting the ambiguity and ...

While data science and AI get the spotlight, data engineering is the unsung hero behind successful AI systems. Let’s explore why data engineering is the backbone of AI: 1.

The rise of artificial intelligence(AI) is fundamentally changing the world of data analytics and data engineering. Advanced AI systems—AI agents that autonomously act, starting to change how ...

Databricks Inc. today announced the general availability of Delta Live Tables, which it claims is the first extract/transfer/load or ETL framework to use a declarative approach to building data pipeli ...

Snowflake’s offering taps Apache NiFi to centralize any data from any source into its platform, while Databricks is making its in-house pipeline engineering technology open, allowing users to ...

You need to build and maintain integration pipelines for each source — a massive engineering burden for data teams juggling disparate ETL tools to centralize what’s needed to power AI workloads.