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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!
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. 01
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. 02
Machine learning libraries Big Data ofers a massive opportunity for ML libraries- TensorFlow, NumPy, Scipy, Scikit-learn, PyTorch, and Pandas; eventually making it to the massive league. 03 L
Big data tools Tools such as Hadoop and Spark are used in compliance with frameworks such as Apache Flink or Apache Beam to ofer the most utility to the processes. 04
Data storage and database tools Making large datasets scalable, secure, and reliable; popular tools such as MySQL, MongoDB, and others come into play; ofering the most suited data science applications. 05 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. 06
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