Remove 2009 Remove MySQL Remove Programming Language
article thumbnail

MongoDB Architecture

U-Next

The Web Server Open Licence governs MongoDB databases’ creation, maintenance, and use, which were first made available in January 2009 by Mongo DB.ltd. Additionally, it offers official driver compatibility for all the most widely used programming languages, including Go, Java, NetGo, Perl, Php, Node.,

MongoDB 40
article thumbnail

20 Best Web Development Books for Developers in 2023

Knowledge Hut

JavaScript: The Definitive Guide: Master the World's Most-Used Programming Language, 7th Edition Author Name: David Flanagan Book Image: Year of release and version: 2020, 7th Edition. Publisher info: O’Reilly Overview: If you are looking for a book that teaches you more than one language, you should definitely get this book.

MySQL 52
Insiders

Sign Up for our Newsletter

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

article thumbnail

Apache Spark Use Cases & Applications

Knowledge Hut

Apache Spark was developed by a team at UC Berkeley in 2009. Spark is developed in Scala programming language. It does work with a variety of other Data sources like Cassandra, MySQL, AWS S3 etc. The demand has been ever increasing day by day. Spark also has support for streaming data using Spark Streaming.

Scala 52
article thumbnail

Data Engineer Learning Path, Career Track & Roadmap for 2023

ProjectPro

Good skills in computer programming languages like R, Python, Java, C++, etc. Computer Programming A decent understanding and experience of a computer programming language is necessary for data engineering. High efficiency in advanced probability and statistics.

article thumbnail

15 SQL Projects Ideas for Data Analysis to Practice in 2023

ProjectPro

You don’t have to fear, because SQL programming language is here. SQL stands for Structured Query Language and has been around since 1974. The language hasn’t lost its charm and remains relevant for a rainbow of jobs even after about 50 years. Data, data, everywhere! Where’s the way to manage it?