Edureka

AUGUST 2, 2023

Data Processing and Cleaning : Preprocessing and data cleaning are important steps since raw data frequently has errors, duplication, missing information, and inconsistencies. To make sure the data is precise and suitable for analysis, data processing analysts use methods including data cleansing, imputation, and normalisation.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

AltexSoft

MAY 14, 2021

Data cleansing. Before getting thoroughly analyzed, data ? In a nutshell, the data cleansing process involves scrubbing for any errors, duplications, inconsistencies, redundancies, wrong formats, etc. and as such confirming the usefulness and relevance of data for analytics. whether small or big ?

Big Data 78

Big Data Data Analytics IT NoSQL 78

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. It will use the same tool, Azure Pureview, and help you learn how to perform data ingestion in real-time. Finally, this data is used to create KPIs and visualize them using Tableau.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52