Remove Algorithm Remove Data Process Remove Non-relational Database Remove Scala
article thumbnail

What is Data Engineering? Skills, Tools, and Certifications

Cloud Academy

They need to understand common data formats and interfaces, and the pros and cons of different storage options. Data engineers are responsible for transforming data into an easily accessible format, identifying trends in data sets, and creating algorithms to make the raw data more useful for business units.

article thumbnail

Data Scientist roles and responsibilities

U-Next

After understanding what Data Science is and its fundamental principles, what else do we need to discuss? What is a Data Scientist? A Data Scientist is skilled in concluding data using various systems, procedures, and algorithms. Qualifications needed to become a Data Scientist.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

100+ Big Data Interview Questions and Answers 2023

ProjectPro

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.

article thumbnail

100+ Data Engineer Interview Questions and Answers for 2023

ProjectPro

Data Engineer Interview Questions on Big Data Any organization that relies on data must perform big data engineering to stand out from the crowd. But data collection, storage, and large-scale data processing are only the first steps in the complex process of big data analysis.