Knowledge Hut
JANUARY 25, 2024
Let's dive into the top data cleaning techniques and best practices for the future – no mess, no fuss, just pure data goodness! What is Data Cleaning? It involves removing or correcting incorrect, corrupted, improperly formatted, duplicate, or incomplete data. Why Is Data Cleaning So Important?
ProjectPro
DECEMBER 22, 2016
The various steps involved in the data analysis process include – Data Exploration – Having identified the business problem, a data analyst has to go through the data provided by the client to analyse the root cause of the problem. 5) What is data cleansing?
ProjectPro
AUGUST 24, 2021
This project is an opportunity for data enthusiasts to engage in the information produced and used by the New York City government. There are three stages in this real-world data engineering project. Data ingestion: In this stage, you get data from Yelp and push the data to Azure Data lake using DataFactory.
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