Apache Hadoop is an open source framework that is used to efficiently store and process large datasets ranging in size from gigabytes to petabytes of data.

• Yet Another Resource Negotiator (YARN) – Manages and monitors cluster nodes and resource usage. It schedules jobs and tasks.
• Hadoop allows clustering multiple computers to analyze massive datasets in parallel more quickly.
• Hadoop Common – Provides common Java libraries that can be used across all modules.

Learn about the history of machine learning along with important definitions, applications, and concerns within businesses today

• Machine learning algorithms are typically created using frameworks that accelerate solution development, such as TensorFlow and PyTorch.
• Compared to what can be done today, this feat seems trivial, but it’s considered a major milestone in the field of artificial intelligence.
• Machine learning, deep learning, and neural networks are all sub-fields of artificial intelligence.
• The technique could be used to predict house prices based on historical data for the area.

artificial intelligence is a field, which combines computer science and robust datasets, to enable problem-solving..

• AI is a broad field that encompasses many different disciplines
• AI is a set of technologies that are based primarily on machine learning and deep learning, used for data analytic
• Limited AI that only reacts to different kinds of stimuli based on preprogrammed rules. Does not use memory and thus cannot learn with new data.

Natural language processing (NLP) combines computational linguistics, machine learning, and deep learning models to process human language.

• Deep learning methods are achieving state-of-the-art results on challenging machine learning problems such as describing photos and translating text from one language to another.
• Deep learning methods can be dropped into existing natural language systems as replacement models that can achieve commensurate or better performance..
• Large end-to-end deep learning models can be fit on natural language problems offering a more general and better-performing approach.

It helps users create different charts, graphs, maps, dashboards, and stories for visualizing and analyzing data, to help in making business decisions. Tableau has a lot of unique, exciting features that make it one of the most popular tools in business intelligence

• Is SQL used in Tableau? Tableau's patented VizQL engine acts behind the scenes to translate your actions in Tableau into efficient SQL queries.
• Working with Tableau doesn't require that you write complex SQL query before beginning your analysis.
• Tableau helps businesses make data-driven choices by extracting insights from the raw data and producing stunning visuals.