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Design and implement an end-to-end ETL (Extract, Transform, Load) pipeline using SQL for data extraction and transformation, and Python for orchestration and automation. Use any open dataset (e.g., ...

Abstract: Generating accurate SQL from users’ natural language questions (text-to-SQL) remains a long-standing challenge due to the complexities involved in user question understanding, database ...

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 ...

With the official release of Microsoft's latest database offering, let's see what was improved and what still needs some work. Today, at Ignite, Microsoft announced the general availability of SQL ...

Abstract: The Text-to-SQL task is to convert natural language queries into Structured Query Language (SQL) to achieve a natural language interface for database queries. The current research on Text-to ...

We’re excited to announce a new migration capability in Azure Arc to simplify and accelerate SQL Server migration. This new capability, now generally available, is powered by Azure Database Migration ...

Written by Andrew Stiefel, Endor Labs. AI coding assistants are changing the game for developers. They offer speed, convenience, and a way to fill knowledge gaps for busy engineering teams. With just ...

For as long as I can remember, I have always configured the computers within my own organization to store data on network servers as opposed to the data being stored on workstations. That way, if one ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...