ProjectPro

SEPTEMBER 26, 2021

Big Data Engineer is one of the most popular job profiles in the data industry. This blog on Big Data Engineer salary gives you a clear picture of the salary range according to skills, countries, industries, job titles, etc. Big Data gets over 1.2 What does a big data engineer do?

Big Data 52

Big Data Data Engineer Data Engineering Engineering 52

Knowledge Hut

MAY 9, 2024

While only 33% of job ads specifically demand a data science degree, the highly sought-after technical skills are SQL and Python. Data Architect ScyllaDB Data architects play a crucial role in designing an organization's data management framework by assessing data sources and integrating them into a centralized plan.

Data Science 52

Data Science Data Architect Data Mining Programming Language 52

ProjectPro

AUGUST 11, 2016

When people talk about big data analytics and Hadoop, they think about using technologies like Pig, Hive , and Impala as the core tools for data analysis. R and Hadoop combined together prove to be an incomparable data crunching tool for some serious big data analytics for business.

Hadoop 40

Hadoop Big Data R (Programming) Programming Language 40

ProjectPro

MARCH 7, 2016

Big Data is in the middle of its journey, offering various life-changing career opportunities. If your career goals are headed towards Big Data, then 2016 is the best time to hone your skills in the direction, by obtaining one or more of the big data certifications. It might seem redundant to you.

Big Data 40

Big Data Certification Hadoop Big Data Skills 40

ProjectPro

JUNE 17, 2015

3 out of 5 highest paid jobs require big data and cloud computing skills. For professionals aiming to earn biggest bucks in the fastest growing industry, they need to become big data experts. People who know how to handle, process and analyse big data can be assured to get the heaviest paychecks in 2015.Here

Cloud Computing 40

Cloud Computing Big Data R (Programming) Big Data Skills 40

ProjectPro

FEBRUARY 24, 2016

A data scientist must have in-depth knowledge of technologies used to tame big data and should always be willing to learn the merging ones. It is known that machine learning ( deep learning , NLP , clustering techniques), python programming , and statistics are the must-have skills for data scientists in 2023.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40