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Updated in [March 06th, 2023]

[Course Overview]
This course provides an introduction to processing big data with Hadoop in Azure HDInsight. It covers the fundamentals of Hadoop and HDInsight, and how to use them to build batch processing solutions that cleanse and reshape data for analysis. The course also covers how to work with HDInsight clusters from Windows, Linux, and Mac OSX client computers.


[Why to Learn]
This course is ideal for anyone who wants to learn how to use Hadoop and HDInsight to process big data. It is especially useful for data engineers, data scientists, and developers who need to understand how to use Hadoop and HDInsight to build batch processing solutions. The course provides a comprehensive overview of the technologies and how to use them, and provides hands-on experience with the tools.


[Development Paths]
This course provides a foundation for further learning in big data processing. After completing this course, learners can explore more advanced topics such as machine learning, data visualization, and data analysis. They can also learn more about the different Hadoop technologies and how to use them in Azure HDInsight.


[Related Learning Suggestions]
Learners who are interested in big data processing can explore other courses such as Introduction to Apache Spark, Introduction to Apache Kafka, and Introduction to Apache Storm. They can also explore courses on data analysis, machine learning, and data visualization.

[Applications]
Upon completion of this course, participants can apply their knowledge of Hadoop technologies in Microsoft Azure HDInsight to build batch processing solutions that cleanse and reshape data for analysis. They can also use technologies like Hive, Pig, Oozie, and Sqoop with Hadoop in HDInsight, and work with HDInsight clusters from Windows, Linux, and Mac OSX client computers.

[Career Paths]
1. Big Data Analyst: Big data analysts are responsible for analyzing large amounts of data to identify trends and patterns. They use a variety of tools and techniques to analyze data, such as Hadoop, Apache Spark, and Azure HDInsight. This job is becoming increasingly important as organizations look to leverage their data to gain insights and make better decisions.

2. Data Scientist: Data scientists are responsible for developing and implementing data-driven solutions to complex problems. They use a variety of tools and techniques to analyze data, such as machine learning, natural language processing, and deep learning. This job is becoming increasingly important as organizations look to leverage their data to gain insights and make better decisions.

3. Data Engineer: Data engineers are responsible for designing, building, and maintaining data pipelines and systems. They use a variety of tools and techniques to build data pipelines, such as Hadoop, Apache Spark, and Azure HDInsight. This job is becoming increasingly important as organizations look to leverage their data to gain insights and make better decisions.

4. Cloud Architect: Cloud architects are responsible for designing and implementing cloud-based solutions. They use a variety of tools and techniques to build cloud-based solutions, such as Azure HDInsight, Azure Data Factory, and Azure Machine Learning. This job is becoming increasingly important as organizations look to leverage the cloud to gain insights and make better decisions.

[Education Paths]
1. Bachelor of Science in Computer Science: This degree program provides students with a comprehensive understanding of computer science fundamentals, including programming, software engineering, data structures, algorithms, and computer architecture. Students will also learn about the latest trends in big data processing, such as Hadoop and Azure HDInsight, and how to use them to analyze large datasets.

2. Master of Science in Data Science: This degree program focuses on the application of data science techniques to solve real-world problems. Students will learn about the principles of data mining, machine learning, and artificial intelligence, as well as how to use big data processing tools such as Hadoop and Azure HDInsight to analyze large datasets.

3. Master of Science in Business Analytics: This degree program focuses on the application of data analytics to business problems. Students will learn about the principles of data analysis, predictive analytics, and data visualization, as well as how to use big data processing tools such as Hadoop and Azure HDInsight to analyze large datasets.

4. Doctor of Philosophy in Data Science: This degree program focuses on the development of new methods and technologies for data science. Students will learn about the principles of data mining, machine learning, and artificial intelligence, as well as how to use big data processing tools such as Hadoop and Azure HDInsight to analyze large datasets. They will also develop new algorithms and techniques for data analysis and develop new applications for big data processing.