Knowledge Hut

JUNE 23, 2023

Steps to Become a Data Engineer One excellent point is that you don’t need to enter the industry as a data engineer. You can start as a software engineer, business intelligence analyst, data architect, solutions architect, or machine learning engineer. What Degree is Needed to Become a Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Knowledge Hut

NOVEMBER 19, 2023

How to become: Get a degree in computer science or any other related field, master big data technologies such as HD and SRK, and be involved in real-world data projects. Job Titles That Follow: Positions like Big Data Engineer, Data Architect, Data Scientist etc.

Computer Science 52

Computer Science Programming Language Machine Learning Business Intelligence 52

Knowledge Hut

NOVEMBER 27, 2023

GitHub – This is a great and rather a must platform for Data Scientists to build, store and showcase their Data Science projects online. It can be your digital portfolio where you can document all your work and collaborate with fellow users. You can also contribute to other projects here.

Data Science 97

Data Science Healthcare Machine Learning Algorithm 97

ProjectPro

JUNE 29, 2016

million to develop a range of engineering and computer science conversion courses in field of big data and data science involving 32 universities and colleges. Higher Education Funding Council for England (Hefce) is granting £1.7

Hadoop 40

Hadoop Big Data Banking Consulting 40

ProjectPro

JUNE 17, 2015

Till date; R programming language has been used by nearly 2 million statisticians and data scientist across the globe. R programming language is used extensively to gather business intelligence from big data. R programming has applications in Genetics, Computer Science, Healthcare, Artificial Intelligence and Bio Chemistry.

Cloud Computing 40

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

ProjectPro

JULY 27, 2021

A data scientist and data engineer role require professionals with a computer science and engineering background, or a closely related field such as mathematics, statistics, or economics. A sound command over software and programming languages is important for a data scientist and a data engineer.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Knowledge Hut

DECEMBER 21, 2023

To boost database performance, data engineers also update old systems with newer or improved versions of current technology. As a data engineer, a strong understanding of programming, databases, and data processing is necessary. Understanding of Big Data technologies such as Hadoop, Spark, and Kafka.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52