U-Next

SEPTEMBER 9, 2022

They ensure that the data is accurate, consistent, and available when needed. To achieve this, DBAs use a variety of tools and techniques, including data cleansing, data validation, and database backups. Data cleansing is the process of identifying and correcting errors in the data.

Database 40

Database Data Cleanse Non-relational Database Database Design 40

AltexSoft

NOVEMBER 23, 2021

Query optimization — to improve query processing performance by caching virtual entities, enabling automatic joins, and supporting push-down querying (pushing down request operation to the source database). Data quality control — to ensure that all information is correct by applying data validation logic.

Process 69

Process Data Lake Metadata Data Warehouse 69

ProjectPro

JANUARY 31, 2023

Step 4: Data Transformation and Enrichment Data transformation involves changing the format or value inputs to achieve a specific result or to make the data more understandable to a larger audience. Enriching data entails connecting it to other related data to produce deeper insights.

Big Data 52

Big Data Hadoop AWS Relational Database 52