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 Schemas Remove Designing Remove Non-relational Database Related Topics
Big Data Skills MongoDB NoSQL Relational Database Scala Data Cleanse Analytics Application Big Data Tools Raw Data Data Architect More Related Topics >
article thumbnail

What is Data Engineering? Skills, Tools, and Certifications

Cloud Academy

JANUARY 27, 2022

Data engineering is the process of designing and implementing solutions to collect, store, and analyze large amounts of data. The data then gets prepared in formats to be used by people such as business analysts, data analysts, and data scientists. Data engineers design, test and maintain data.

Data Engineering 52
Data Engineering Data Engineer Certification Engineering 52
article thumbnail

100+ Big Data Interview Questions and Answers 2023

ProjectPro

JANUARY 31, 2023

Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. HBase storage is ideal for random read/write operations, whereas HDFS is designed for sequential processes. Data Processing: This is the final step in deploying a big data model. No reliability exists.

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