๐๐ฎ๐๐ฎ๐ฏ๐ฟ๐ถ๐ฐ๐ธ๐ ๐ฆ๐ค๐ ๐๐ฎ๐ ๐ฎ | ๐ฆ๐ค๐ ๐๐๐ป๐ฑ๐ฎ๐บ๐ฒ๐ป๐๐ฎ๐น๐, ๐๐ถ๐น๐๐ฒ๐ฟ๐ถ๐ป๐ด & ๐๐ฎ๐๐ฎ ๐ค๐๐ฒ๐ฟ๐๐ถ๐ป๐ด
๐ฆ๐ค๐ ๐๐๐ป๐ฑ๐ฎ๐บ๐ฒ๐ป๐๐ฎ๐น๐, ๐๐ถ๐น๐๐ฒ๐ฟ๐ถ๐ป๐ด & ๐๐ฎ๐๐ฎ ๐ค๐๐ฒ๐ฟ๐๐ถ๐ป๐ด Welcome to Day 2 of Databricks SQL Week, organized by Databricks User Group Noida. In this session, we move beyond the basics and dive into the core SQL operations used daily by Data Analysts, Data Engineers, and Analytics Engineers. This hands-on session focuses on querying data, filtering records, sorting results, pattern matching, handling NULL values, and working with SQL operators in Databricks SQL. Through practical examples and exercises, learners will build a strong foundation for writing efficient SQL queries on modern data platforms. Topics Covered: โข Introduction to SQL Querying in Databricks โข SELECT Statements and Column Selection โข WHERE Clause and Conditional Filtering โข DISTINCT and Removing Duplicates โข ORDER BY and Sorting Data โข LIKE and Pattern Matching โข NULL Handling in SQL โข LIMIT and OFFSET โข AND, OR, IN, and BETWEEN Operators โข Aliases and Data Type Casting โข Beginner to Advanced SQL Practice Questions Resources and SQL Notebook: GitHub Repository: https://github.com/databricksusergrou... Join the Databricks User Group Noida Community: https://usergroups.databricks.com/noi... Follow Databricks User Group Noida on LinkedIn: ย ย /ย databricks-user-group-noidaย ย Join our WhatsApp Community: https://chat.whatsapp.com/LZniui1Unhv... Subscribe to the channel and stay connected for upcoming sessions covering Joins, Aggregations, Window Functions, CTEs, Query Optimization, Delta Lake, and Advanced Databricks SQL concepts. #Databricks #DatabricksSQL #SQL #DataEngineering #DataAnalytics #BigData #DataWarehouse #LearnSQL #SQLTutorial #DatabricksCommunity #DataEngineer #AnalyticsEngineering #ModernData #DeltaLake #DatabricksLearning

๐๐ฎ๐๐ฎ๐ฏ๐ฟ๐ถ๐ฐ๐ธ๐ ๐ฆ๐ค๐ ๐๐ฎ๐ ๐ฏ | ๐๐ผ๐ถ๐ป๐, ๐ฆ๐ฒ๐ ๐ข๐ฝ๐ฒ๐ฟ๐ฎ๐๐ถ๐ผ๐ป๐ & ๐ ๐๐น๐๐ถ-๐ง๐ฎ๐ฏ๐น๐ฒ ๐ค๐๐ฒ๐ฟ๐๐ถ๐ป๐ด

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