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MASTER THESE 6 MOST POPULAR BIG DATA TOOLS IN 2023
BIG DATA IS ONLY GETTING WIDER!
Gartner says 70% of organizations will shift their focus from Big to Wide Data by 2025!
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Programming languages
Coding sells like hotcakes around the world. With their scalability reaching beyond processes; Python, Javascript, R, C++, Scala, and others are taking over the Big scene.
Data analysis and visualization tools
Tools such as Jupyter, R Studio, and Spyder are raging in popularity in the data analysis and visualization domain.; building sturdier ML models.
Machine learning libraries
Big Data o ers a massive opportunity for ML libraries- TensorFlow, NumPy, Scipy, Scikit-learn, PyTorch, and Pandas; eventually making it to the massive league.
Big data tools
Tools such as Hadoop and Spark are used in compliance with frameworks such as Apache Flink or Apache Beam to o er the most utility to the processes.
Data storage and database tools
Making large datasets scalable, secure, and reliable; popular tools such as MySQL, MongoDB, and others come into play; o ering the most suited data science applications. 80%
Collaboration and version control tools
Manage code changes and collaborate with data scientists on a wide variety of projects with Git and GitHub; allowing multiple user access to track changes over time.
