Knowledge Hut

DECEMBER 26, 2023

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Data Science also requires applying Machine Learning algorithms, which is why some knowledge of programming languages like Python, SQL, R, Java, or C/C++ is also required.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

ProjectPro

FEBRUARY 11, 2021

Getting Started with Machine Learning Engineering FAQs on becoming a Machine Learning Engineer Becoming a machine learning engineer looks like a daunting task because one needs to possess a versatile skill set with knowledge of more than one programming language. Choose any one programming language and master it.

Machine Learning 40

Machine Learning Engineering Programming Language Portfolio 40

ProjectPro

FEBRUARY 21, 2023

The World Economic Forum predicts that by 2025, 463 exabytes of data will be produced daily across the world. Azure Data Engineer Associate DP-203 Certification Candidates for this exam must possess a thorough understanding of SQL, Python, and Scala, among other data processing languages. Basic understanding of Microsoft Azure.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Snowflake

MARCH 21, 2023

Many started by copying their data into cloud object stores and investing in separate processing infrastructures and tooling for programming languages like Python, SQL, and Java. Data scientists and data engineers often need to stitch multiple tools together to finish a single analysis when using multiple languages.

SQL 52

SQL Python Programming Language Scala 52

Knowledge Hut

DECEMBER 26, 2023

This job requires a handful of skills, starting from a strong foundation of SQL and programming languages like Python , Java , etc. They achieve this through a programming language such as Java or C++. Python is a versatile programming language and can be used for performing all the tasks of a Data engineer.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98