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- Model Selection For dbt CLIA complete cheatsheet for selecting specific models when running dbt commands
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- 4 Useful BigQuery SQL Functions You May Not KnowAnd how to use them
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- How to Compare Two Tables For Equality in BigQueryCompare tables and extract their differences with standard SQL
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- A Quick Start to Connecting to PostgreSQL and Pulling Data into PandasGet you on your way to data analysis and model building quickly by pulling PostgreSQL data into Pandas
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- Learn dbt the Easy WayAn analytics engineer's guide to key db
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- SQL Riddles to Test Your WitsSQL is a deceptively simple language. Across its many dialects, users can query databases in a syntax similar to English. What you see is what you get… until you don’t. Every now and then I come across a query that produces a result completely
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- Running SQL Queries in Jupyter Notebook using JupySQL, DuckDB, and MySQLLearn how to run SQL in your Jupyter Notebooks
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- RANK() vs DENSE_RANK() vs ROW_NUMBER() in SQLUnderstanding the difference between these window functions in SQL
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- Build Customer Journeys Using SQLLearn to track consumers across multiple channels
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- These 5 SQL Techniques Cover ~80% of Real-Life ProjectsSpeed up your SQL learning curve.
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- Electric Cars In the Netherlands: Exploratory Data Analysis with Python and SQLAlchemy (Part 2)Data analysis and visualization with Python, SQLAlchemy, and Bokeh
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- Junior Developers Write Multi-Page SQL Queries; Seniors Use Window FunctionsAn elegant way to perform computation within the context of a record
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- Python To SQL – I Can Now Load Data 20X FasterThe good, bad, and ugly ways of uploading large batches of data
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- Digital Marketing Analysis with Python and MySQLA digital marketing analytics exercise with explained step-by-step code in both SQL and Python environments.
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- SQL on Pandas – My New Favorite for 10X Speed.Bringing the best of both worlds together
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- SQL users: Halve the length of (some of) your queries with this one trickIn this article, I’m going to introduce you to the SQL QUALIFY clause: a trick that will help you write shorter and more readable SQL queries. If you work in Data Science/Analytics or Machine Learning, this is a must-have SQL tool for four reasons:
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- Understanding SQL: Order of ExecutionA brief guide on how databases interpret your SQL queries
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- 3 SQL Optimization Techniques That Can Instantly Boost Query SpeedSimple hacks to try before moving to a different data model altogether
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- Using DuckDB with PolarsLearn how to use SQL to query your Polars DataFrames
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