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What does “Garbage in, garbage out” mean in solving real business problems?
Author(s): Zijing Zhu Originally published on Towards AI. and how to avoid it with a practical workflow Photo by Gary Chan on Unsplash This member-only story is on us. Upgrade to access all of Medium. In today's business landscape, relying on accurate …
How to Query Pandas Dataframe With the query() Method?
Author(s): Chetan Ambi Originally published on Towards AI. Syntax This member-only story is on us. Upgrade to access all of Medium. Image by author If you have been using pandas for data analysis and are still not aware of the Pandas query …
7 Ways to Identify and Handle Missing Data | 3 Ways You Should Not
Author(s): Raja Dev Originally published on Towards AI. Data Science 7 Ways to Identify and Handle Missing Data U+007C 3 Ways You Should Not 10 Strategies to Prepare High-Quality Data for ML Image from Canva Pro Good Data Scientists acknowledge the reasons …
![[DBT] Add Query comments for better debugging [Tip-3]](https://miro.medium.com/v2/resize:fit:875/1*Hx2Q3-40j9PbdQBFnmibcg.png)
[DBT] Add Query comments for better debugging [Tip-3]
Author(s): Karthikeyan Siva Baskaran Originally published on Towards AI. Software Engineering Customize the query comment in each query that triggered from dbt Using query_comment in dbt, we can customize the comments to inject into each query that gets triggered from dbt. For …
4 Tips To Write Scalable Apache Spark Code
Author(s): ___ Originally published on Towards AI. In this article, I will share some tips on how to write scalable Apache Spark code. The examples presented here are actually based on the code I encountered in the real world. So, by sharing …
How You Should Save the Output of your Spark ETL Jobs (If you are not Writing to a Database)
Author(s): ___ Originally published on Towards AI. In this article, I will share my thoughts on the best way to save the output of Spark ETL jobs so that it is easier to do analytical work later. The code to reproduce the …
Machine Learning for Dummies: Deploy all the Things 🚀🚀
Author(s): Data 4 Everyone! Originally published on Towards AI. How do Data Scientists Deploy and Monitor Their Apps? In this series of articles, I'll help you understand what Machine Learning is by looking at an actual project! If you have a cat, …
Querying Synapse Analytics Delta Lake from Databricks
Author(s): Guilherme Banhudo Originally published on Towards AI. Image by Databricks A step-by-step guide on how to connect (query) Azure Synapse Analytics Delta Lake data from Databricks for both dedicated and serverless pools. Problem Statement In recent years, especially with the advent …
Supercharge Your Data Engineering Skills with This Machine Learning Pipeline
Author(s): ????Mike Shakhomirov Originally published on Towards AI. Data modeling, Python, DAGs, Big Data file formats, costs… It covers everything Photo by Peter Olexa on Unsplash This is a real-life scenario when I was tasked to create a highly scalable machine learning …
Get Started in Data Engineering By Taking IBM Data Engineering Professional Certificate in 2023
Author(s): Joshua Yeung Originally published on Towards AI. How to Kick Start Your Career in Data Engineering? Photo by ThisisEngineering RAEng on Unsplash One of the most in-demand talents on the job market right now is the ability to be a data …
Revolutionizing Business Decision-Making: A Comprehensive Guide to BI & Analytics Platforms and Open-Source Alternatives
Author(s): Joshua Yeung Originally published on Towards AI. Maximizing Business Success through Smart Data Analytics and Open-Source BI Tools Photo by Stephen Dawson on Unsplash In today’s world, data is king. Businesses generate and collect vast amounts of data every day, and …
Python Pandas vs. Vaex Dataframes: A Comparative Analysis
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. Similarities and Differences between Pandas and Vaex Image by Author with @MidJourney Data science and analysis rely heavily on data manipulation and processing. With large and complex datasets becoming increasingly common, efficient and …
Top 5 Open-Source Data Catalogs in 2023
Author(s): Joshua Yeung Originally published on Towards AI. Photo by Thought Catalog on Unsplash The world is increasingly becoming driven by data. With this influx of data, it is paramount that businesses have a comprehensive open-source data catalog to organize, store and …
A Step-by-Step Guide to Developing a Streamlit Application with Redis Data Storage and Deploying it Using Docker
Author(s): Rahul Veettil Originally published on Towards AI. Deploying a Streamlit App with Docker Image by Gerd Altmann from Pixabay Introduction In this tutorial, we will build a Streamlit app that uses Redis for data storage and deploy it using Docker. …
Navigating the World of Data Engineering: A Beginners Guide.
Author(s): Data Science meets Cyber Security Originally published on Towards AI. Navigating the World of Data Engineering: A Beginner’s Guide. A GLIMPSE OF DATA ENGINEERING ❤ IMAGE SOURCE: BY AUTHOR Data or data? No matter how you read or pronounce it, data …
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