Overview: MongoDB continues to power modern applications, but analytics requires structured, reliable pipelines.ETL tools ...

ENVIRONMENT: A fast-paced FinTech company seeks a passionate Machine Learning Engineer (MLOps focus) to power instant lending decisions – no humans in the loop. Its models drive credit risk, portfolio ...

ENVIRONMENT: A fast-paced FinTech company seeks a passionate Machine Learning Engineer (MLOps focus) to power instant lending decisions – no humans in the loop. Its models drive credit risk, portfolio ...

To speed up computation, deep neural networks (DNNs) usually rely on highly optimized tensor operators. Despite the effectiveness, tensor operators are often defined empirically with ad hoc semantics.

Millions of users work with SQL to keep the gears of their business turning. In an era marked by relentless digital transformation, the proliferation of AI workloads, and tightening regulatory demands ...

Which feature in SQL Server and Azure Synapse Analytics lets you run T-SQL queries against external data stores and makes those external sources appear as tables in a SQL database?

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...

For the same task, the code of esProc SPL is simpler and easier to understand than SQL. Next, let's try how to integrate esProc in applications and simplify these ...

Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...

I started using APL for data analysis around 1972. The powerful language, based on a 1962 book by Ken Iverson, A Programming Language, was and is notable for three things: its use of Greek letters and ...