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SQL DATEDIFF function

Analytics Vidhya

Introduction Structured Query Language (SQL) is a powerful tool for managing and manipulating relational databases. In this blog post, we’ll delve into the intricacies of the SQL DATEDIFF function, exploring its syntax, use cases, and […] The post SQL DATEDIFF function appeared first on Analytics Vidhya.

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Databricks SQL Year in Review (Part II): SQL Programming Features

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Welcome to the blog series covering product advancements in 2023 for Databricks SQL, the serverless data warehouse from Databricks. This is part 2.

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Guide for Interview Questions for SQL

Analytics Vidhya

Introduction on SQL Questions This blog consists of various topics of SQL and their explanation with answers. There are 12 theoretical questions that are frequently asked in interviews for freshers level and below, there are 15 MCQs related to SQL Questions for practice. […].

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Enterprise-grade natural language to SQL generation using LLMs: Balancing accuracy, latency, and scale

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This blog post is co-written with Renuka Kumar and Thomas Matthew from Cisco. Recent advances in generative AI have led to the rapid evolution of natural language to SQL (NL2SQL) technology, which uses pre-trained large language models (LLMs) and natural language to generate database queries in the moment.

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5 Easy Ways to Use SQL WITH Clause

Analytics Vidhya

Introduction SQL, a robust language for managing relational databases, boasts a compelling feature known as the WITH clause. This blog post will delve into the WITH clause in SQL, unraveling its effective usage to enhance […] The post 5 Easy Ways to Use SQL WITH Clause appeared first on Analytics Vidhya.

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Databricks SQL Year in Review (Part I): AI-optimized Performance and Serverless Compute

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This is part 1 of a blog series where we look back at the major areas of progress for Databricks SQL in 2023.

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Introducing the New SQL Editor

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Over the last few years, we've seen tremendous growth and adoption of Databricks SQL , our intelligent data warehouse purpose-built on the Data.

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