Remove Big Data Tools Remove Hadoop Remove MongoDB Remove PostgreSQL
article thumbnail

Top 20+ Big Data Certifications and Courses in 2023

Knowledge Hut

Problem-Solving Abilities: Many certification courses provide projects and assessments which require hands-on practice of big data tools which enhances your problem solving capabilities. Networking Opportunities: While pursuing big data certification course you are likely to interact with trainers and other data professionals.

article thumbnail

Data Engineer Learning Path, Career Track & Roadmap for 2023

ProjectPro

Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc. Good communication skills as a data engineer directly works with the different teams. To do that, a data engineer is likely to be expected to learn big data tools. The list does not end here.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Data Collection for Machine Learning: Steps, Methods, and Best Practices

AltexSoft

Semi-structured data is not as strictly formatted as tabular one, yet it preserves identifiable elements — like tags and other markers — that simplify the search. They can be accumulated in NoSQL databases like MongoDB or Cassandra. Unstructured data represents up to 80-90 percent of the entire datasphere. No wonder only 0.5

article thumbnail

The Top 25 Data Engineering Influencers and Content Creators on LinkedIn

Databand.ai

Follow Charles on LinkedIn 3) Deepak Goyal Azure Instructor at Microsoft Deepak is a certified big data and Azure Cloud Solution Architect with more than 13 years of experience in the IT industry. On LinkedIn, he focuses largely on Spark, Hadoop, big data, big data engineering, and data engineering.

article thumbnail

100+ Data Engineer Interview Questions and Answers for 2023

ProjectPro

Top 100+ Data Engineer Interview Questions and Answers The following sections consist of the top 100+ data engineer interview questions divided based on big data fundamentals, big data tools/technologies, and big data cloud computing platforms. Briefly define COSHH.