Spark SQL course with PysPark

Educational Institution
Modality On-line
Duration 200 hours
Languages Spanish
₡ 151.800
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Acreditados porRating Educahub

Curriculum

Summary

In the Big Data era, dominating tools such as Apache Spark has become crucial to manage and analyze large volumes of data quickly and efficiently. This SPARK SQL course with Pyspark will allow you to acquire advanced competencies in the creation and manipulation of DataFrames, the execution of SQL consultations on large data sets, and the development of Machine Learning models. Our training is designed to offer a practical and understandable approach, with real examples and exercises adapted to the current needs of the labor market. If you want to become an expert in SPARK SQL with Pyspark, this course will provide you with the necessary skills to highlight in the sector.

Objectives

- Learn to handle data and RDDs to manage large volumes of data. - Execute efficient SQL queries on large data sets with Pyspark. - Implement complex transformations and advanced operations in Pyspark. - Optimize the performance of applications in Spark through partitions and caching. - Develop and adjust Machine Learning models using spark mllib. - Configure Development environments in Spark for different platforms. - Apply real -time processing techniques with spark streaming

Professional opportunities

At the end of the SPARK SQL course with Pyspark, you can work in data engineering, Big Data development, data science or solution architecture in large technology and startup companies, and sectors such as banking and retail. The acquired skills will position you as a professional trained in the management of massive data and distributed processing.

To prepare you

The Spark SQL course with Pyspark enables you to develop distributed applications, manipulate and analyze large data sets, optimize consultations and execute Machine Learning models. In addition, it prepares you to implement high performance Big data solutions in different environments, with an approach to efficiency and scalability, highly demanded skills in the current labor market.

Who is it addressed to?

This Spark SQL course with Pyspark is aimed at data analysis professionals, software engineering, data science and any person interested in processing large data volumes with Apache Spark. Whether you have previous experience and if you are looking to learn from scratch, this course will provide you with the necessary skills.

Methodology

Our methodology combines technology, pedagogy and empathy for learning tailored to you.

You set the pace, decide the path and artificial intelligence accompanies you so that you learn better, with meaning and purpose.

Truly personalized learning

Your style, interests and level define the route. You are the starting point.

Constructivism in action

Explore, experiment and apply. Learning means understanding, not memorizing.

AI that accompanies you, not directs you

PHIA, our artificial intelligence assistant guides you without limiting your autonomy.

Evaluation without pressure

Continuous and adaptive feedback. Because learning is a process, not a number.

Certification

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Degree issued by Educa Open, specialized center in training in various technological areas

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Scholarships

EducaHub Scholarships

Make your training more accessible: finance at 0% interest and obtain personalized scholarships.

At EducaHub we believe that education should be available to everyone. For this reason, we offer a Scholarship Plan that facilitates your access to practical, current and quality training, eliminating economic barriers.

-25%

Alumni Scholarship: for former students of EducaHub.

-20%

Unemployment Scholarship: if you prove that you are unemployed.

-20%

Large Family Scholarship: for families with 3 or more children.

-20%

Disability Scholarship: for people with disabilities ≥33%.

-15%

Emprende Scholarship: for self-employed workers who can prove their activity.

-15%

Recommended Scholarship: if you come recommended by a former student.

-15%

Group Scholarship: for joint registrations of 3 or more people.

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