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

ProjectPro

FEBRUARY 8, 2023

Their demand is expected to grow in the coming years as organizations continue to collect and store increasing amounts of data and the need for efficient and reliable data management systems increases. Finance, Healthcare, and Technology are some of the top industries hiring ETL developers.

ETL Tools 52

ETL Tools Data Cleanse Data Warehouse Big Data 52

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

AltexSoft

MARCH 2, 2023

Data integrity is about maintaining the quality of data as it is stored, converted, transmitted, and displayed. Learn more about data integrity in our dedicated article. Learn how data is prepared for machine learning in our dedicated video. The DAMA DMBOK wheel. Compliance.

Data Governance 52

Data Governance Government Healthcare Programming 52