This site uses cookies to improve your experience. By viewing our content, you are accepting the use of cookies. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country we will assume you are from the United States. View our privacy policy and terms of use.

Remove Data Cleanse Remove Data Validation Remove NoSQL Related Topics
Non-relational Database Big Data Skills Data Schemas Relational Database Analytics Application Data Ingestion Big Data Tools Raw Data Data Architect Data Architecture More Related Topics >
article thumbnail

DataOps Architecture: 5 Key Components and How to Get Started

Databand.ai

AUGUST 30, 2023

In a DataOps architecture, it’s crucial to have an efficient and scalable data ingestion process that can handle data from diverse sources and formats. This requires implementing robust data integration tools and practices, such as data validation, data cleansing, and metadata management.

Architecture 52
Architecture Data Ingestion Data Governance Data Cleanse 52
article thumbnail

100+ Big Data Interview Questions and Answers 2023

ProjectPro

JANUARY 31, 2023

This process involves data collection from multiple sources, such as social networking sites, corporate software, and log files. Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. Data Processing: This is the final step in deploying a big data model.

Big Data 52
Big Data Hadoop AWS Relational Database 52
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

 

Stay Connected

Join 16,000+ Insiders by signing up for our newsletter

About
Webinars
About
Editions
Webinars
Editions
Topics
Powered by Aggregage | Terms and Conditions | Your California Rights and Privacy Policy
© Aggregage 2024