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?

I have been trying to days to make a dead simple pipeline from PostgreSQL to S3. I'm just trying to export one table (order) as parquet. The order table contains a JSONB column products which contains ...

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 complex SQL statements. Download ...

Snowflake wants to reduce enterprises’ reliance on data engineers and data scientists for unstructured data analysis with its new SQL functions powered by generative AI. Snowflake is adding generative ...

If you don’t have a backup of your MS SQL database, then follow the below ways to recover deleted data. Transaction log files record each change made to the ...

In this post, we will go step by step into several aspects of Change Data Capture, a feature that is available on the Azure SQL Managed Instance and Microsoft SQL Server. The focus will be on the ...

ABSTRACT: In the context of the ongoing reform of educational evaluation, this study examines the implementation pathways of value-added assessment. Utilizing a horizontal comparative analysis of ...

Purpose: In the context of lung cancer screening, the scarcity of well-labeled medical images poses a significant challenge to implement supervised learning-based deep learning methods. While data ...