As organizations look to build out more complex digital frameworks, breaking down data silos is essential. But there’s a catch: As data analysts, data scientists and others work across various groups, ...

AI does not need a separate environment. Instead, the better approach is to supplement your existing analytics infrastructure ...

Struggling to power AI with outdated systems? At the September MarTech Conference we discussed how composable data ...

Over the past decade, the data boom has created exciting strategic opportunities for adaptive companies and enabled the development of entirely new enterprises. This wave was the result of the ...

A practical guide to how databases work, covering schema design, SQL, indexing, transactions, concurrency, caching, pagination, and database selection.

In today’s evolving technological landscape, a solid understanding of the progression of data and application architecture is an important part of the technology leader’s role. By embracing modern ...

The headless data architecture is the formalization of a data access layer at the center of your organization. Encompassing both streams and tables, it provides consistent data access for both ...

TiDB is a prime example of an intrinsically scalable and reliable distributed SQL database architecture. Here’s how it works. In the good old days, databases had a relatively simple job: help with the ...

Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. “It’s amazing to see some of these technologies come back around,” Serra said.

In the first quarter of 2025, nearly 60% of DBTA subscribers told us they were actively researching GenAI with LLMs, including RAG and knowledge graphs. On top of this, when asked which technologies ...

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