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Big Data Analysis

Hive, Spark SQL, DataFrames and GraphFrames

Natalia Pritykovskaya, Pavel Klemenkov, Pavel Mezentsev, and Alexey A. Dral

This course is no longer available. Find a similar course by searching these:

data processing apache spark big data data warehousing data mining data analytics

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Explores MapReduce and Spark, which are standard in industry y

Taught by Pavel Mezentsev, Alexey A. Dral, Natalia Pritykovskaya, and Pavel Klemenkov, who are recognized for their work in big data

Develops warehousing and large-graph data processing skills, which are core skills for big data engineers

Offers hands-on labs and interacive materials

This course is explicitly stated to be no longer accessible

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Reviews summary

Essential for big data

This challenging course is heavy on concepts and light on support. Rigorous and thorough, it is not for beginners. If you already have some knowledge and experience in big data, you will find this course to be a solid addition to your toolkit.

Best for those with some big data knowledge.

"Great course if you have a little bit of experience in the big data world."

In-depth and complex material.

"This one was not for playing."

"Worst course very difficult to pass"

Limited support materials and resources.

"Le cours n'est pas bien structuré"

"Bugged grader and complete lack of support from the course admins"

Frequent technical problems with software.

"I could not complete this course as jupyter notebook is freezing while uploading the assignments"

"And finally: not working instrument - docker images, labs, assignment tools - and unresponsive support."

Grader often malfunctions.

"Grader is awful"

"There is many issues in LTI grader."

Activities

Coming soon We're preparing activities for Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists can improve their usage of Hive, Spark SQL, DataFrames, and GraphFrames, which will help them to wrangle complex big data sets and draw actionable insights. This is key to delivering more value from their projects and producing more accurate results.

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Big Data Engineer

Apache Hive, Spark SQL, DataFrames, and GraphFrames are all essential tools for Big Data Engineers. This course can help them master these tools and develop the skills they need to design, build, and manage big data systems.

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Data Analyst

Data Analysts can use the skills they learn in this course to improve their ability to analyze large datasets and identify trends and patterns for actionable insights. This can greatly improve their ability to add value to their organization.

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Software Engineer

Software Engineers who specialize in Big Data would greatly benefit from this course. It can help them develop the skills and knowledge they need to design, build, and maintain big data systems.

See salaries and explore the career path for Software Engineer

Data Architect

Data Architects can use the skills they learn in this course to improve their ability to design and manage big data systems. This can help them ensure that their organizations can effectively use big data to achieve their business goals.

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Machine Learning Engineer

Machine Learning Engineers can use the skills they learn in this course to improve their ability to build and deploy machine learning models on big data sets. This can help them to develop more accurate and effective models.

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Cloud Architect

Cloud Architects can use the skills they learn in this course to improve their ability to design and manage big data systems in the cloud. This can help them to ensure that their organizations can effectively use the cloud to achieve their business goals.

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Data Engineer

Data Engineers can use the skills they learn in this course to improve their ability to design, build, and maintain big data systems. This can help them to ensure that their organizations can effectively use big data to achieve their business goals.

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Software Developer

Software Developers who specialize in Big Data would greatly benefit from this course. It can help them develop the skills and knowledge they need to design, build, and maintain big data systems.

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Business Analyst

Business Analysts can use the skills they learn in this course to improve their ability to understand and analyze big data. This can help them to make better decisions and develop more effective business strategies.

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Database Administrator

Database Administrators can use the skills they learn in this course to improve their ability to manage big data systems. This can help them to ensure that their organizations can effectively use big data to achieve their business goals.

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Systems Administrator

Systems Administrators can use the skills they learn in this course to improve their ability to manage big data systems. This can help them to ensure that their organizations can effectively use big data to achieve their business goals.

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Information Technology Manager

Information Technology Managers can use the skills they learn in this course to improve their ability to manage big data systems. This can help them to ensure that their organizations can effectively use big data to achieve their business goals.

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Featured in The Course Notes

This course is mentioned in our blog, The Course Notes. Read one article that features Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames:

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