Top Tweets for #SQLtips
SQL queries are written in one order but logically processed in another. Understand how FROM, JOIN, WHERE, GROUP BY, HAVING, SELECT, and ORDER BY work together to filter, aggregate, and organize data for accurate analysis.
#SQL #DataAnalytics #DataScience #SQLTips #Database #DataEngineering #DataAnalyst
๐จ 90% of beginners get this SQL question wrong.
The query looks perfectly fineโฆ but @PostgreSQL has a problem with it. ๐
What's wrong with this query?
#SQL #SQLTips #DataAnalytics
#Interview #PostgreSQL
Learn 8 essential SQL data cleaning techniques to handle missing values, remove duplicates, standardize text, validate records, and improve data quality for more accurate analysis.
#SQL #DataAnalytics #DataScience #DataCleaning #SQLTips #DataAnalyst #BigData
New to SQL or brushing up on the basics? This clear, beginner-friendly guide explains exactly what SQL is and why it matters. Perfect starting point! https://t.co/OjDGDq5uub
#LearnToCode #sqltips
Go through this SQL query and try to figure out the use case of this query.
Share your interpretations and lets discuss.
#SQL #DataAnalytics #TechTrends #Sqltips
SQL gets easier when the core functions become second nature. From aggregations and window functions to strings, dates, conditional logic, and filtering, these are the functions analysts use constantly.
#SQL #SQLTips #DataAnalytics #DataAnalyst #Database #DataScience #Analytics
SQL becomes practical when you can turn business questions into queries. Filtering, grouping, joins, ranking, CTEs, subqueries, and conditional logic cover a huge share of everyday analyst work.
#SQL #DataAnalytics #DataAnalyst #SQLTips #Database #DataScience #Analytics
Dates are everywhere in real-world SQL: reports, trends, cohorts, retention, and time-based analysis. Knowing how to extract, format, compare, calculate, and validate dates makes querying much easier.
#SQL #SQLTips #DataAnalytics #DataAnalyst #Database #DataScience #Analytics
SQL window functions unlock analysis without collapsing your rows. Ranking, running totals, moving averages, LAG/LEAD, percentiles, and window frames are essential patterns worth mastering.
#SQL #WindowFunctions #DataAnalytics #SQLTips #DataAnalyst #Database #DataScience
SQL interviews become easier when you know where to focus. Functions, joins, window functions, CTEs, filtering, and aggregation form the core of many interview problems. Practice them with real scenarios.
#SQL #SQLInterview #DataAnalyst #DataAnalytics #SQLTips #DataScience #InterviewPrep
Start at the root -> find the next level -> repeat.
Save this before you need to query hierarchical data. ๐
Have you used a recursive CTE in a real project?
#SQL #DataEngineering #SQLTips #DataWarehouse #DataEngineer
Free practice this week (no paid course):
Excel: any messy sales export you already have
SQL: Mode SQL tutorial or SQLBolt
Power BI: Microsoft Learn sample PBIX
Python: one Kaggle CSV + pandas
Pick ONE
Finish it before you add another tool
#DataAnalyst #LearnExcel #SQLTips
๐ SQL Interview Tip.
COUNT(*) counts all rows. COUNT(column) counts only non-NULL values.
A small difference, but a common interview question. ๐
Save & test yourself later.
#SQL #DataAnalytics #SQLInterview #Sqltips
SQL functions that are enough to solve 90 % problems
#sql #sqljoins #sqltips #sqlbasics #sqlbasics #DataAnalytics #DataDriven #Data
The mistake is thinking they're interchangeable.
The better mental model is:
What am I filtering? -> At what stage?
Once you understand that, these clauses become much easier to reason about.
Which one confused you first HAVING or QUALIFY? ๐
#SQL #DataEngineering #SQLTips #Database
๐ SQL TIPS of the day. #day1
Stop running 3 Separate queries for aggregated metrics.
โกDo it all in 1 query using conditional CASE.
โก 1 table scan instead of 3.
โก Works in Postgres, BigQuery, Oracle & SQL Server.
#SQL #DataEngineering #Database #Sqltips
SQL is written in one order but logically processed in another. Remember the flow: FROM โ WHERE โ GROUP BY โ HAVING โ SELECT โ ORDER BY โ LIMIT. A simple mnemonic can make execution order much easier to recall.
#SQL #DataAnalytics #DataAnalyst #SQLTips #Database #DataScience #LearnSQL
Clean data starts with the right SQL techniques. Handle NULLs, remove duplicates, standardize text, fix data types, clean dates, detect formatting issues, and manage invalid values efficiently.
#SQL #DataCleaning #DataAnalytics #SQLTips #DataScience #Database #Analytics
Writing SQL that works is only the start. Writing SQL that stays fast, readable, and scalable requires better query habits. These 15 principles are worth practicing.
#SQL #SQLTips #DataAnalytics #DataEngineering #Database #DataAnalyst #SQLDeveloper
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Writing SQL that works is only the start. Writing SQL that stays fast, readable, and scalable requires better query habits. These 15 principles are worth practicing.
#SQL #SQLTips #DataAnalytics #DataEngineering #Database #DataAnalyst #SQLDeveloper
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