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Spark SQL course with PySpark

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$303.00
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Duration

200 hours

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Credits

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Language

Spanish

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At the end of the course, you will obtain the accredited qualification

This is not just about learning, but also about accrediting your knowledge with the most important institutions in the sector:

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DEGREE issued by EUROINNOVA INTERNATIONAL ONLINE EDUCATION, member of the AEEN (Spanish Association of Business Schools) and recognized for academic excellence in online education by QS World University Rankings

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Learn from the best in your sector

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carlos alvarez gonzález

Technical Engineer in Computer Science and teacher in ICT skills, with extensive experience in technical support, implementation of ERP systems and technological training.

Professional experience:

More than 15 years of experience in the technological field as a consultant, analyst-programmer and ICT trainer. Specialized in implementation and support of ERP systems (SAGE), training in digital skills and maintenance of computer systems. Recent experience as a teacher in ICT skills in training projects of the Junta de Andalucía, accumulating more than 600 hours of face-to-face training.

Professional skills:

ERP systems and technical support (SAGE), Training in ICT skills, Computer programming, analysis and maintenance, Quality management (UNE-EN-ISO 9001).

Technical Engineer in Computer Science and teacher in ICT skills, with extensive experience in technical support, implementation of ERP systems and technological training.

Professional experience:

More than 15 years of experience in the technological field as a consultant, analyst-programmer and ICT trainer. Specialized in implementation and support of ERP systems (SAGE), training in digital skills and maintenance of computer systems. Recent experience as a teacher in ICT skills in training projects of the Junta de Andalucía, accumulating more than 600 hours of face-to-face training.

Professional skills:

ERP systems and technical support (SAGE), Training in ICT skills, Computer programming, analysis and maintenance, Quality management (UNE-EN-ISO 9001).

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Course information

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Course information

Description
In the era of Big Data, mastering tools like Apache Spark has become crucial to manage and analyze large volumes of data quickly and efficiently. This Spark SQL with PySpark Course will allow you to acquire advanced skills in creating and manipulating DataFrames, executing SQL queries on large data sets, and developing 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 skills necessary to stand out in the industry.

Job opportunities

Upon completion of the Spark SQL Course with PySpark, you will be able to work in data engineering, Big Data development, data science or solution architecture in large technology companies and startups, and sectors such as banking and retail. The skills acquired will position you as a professional trained in the management of massive data and distributed processing.

What does it prepare you for?

The Spark SQL with PySpark Course trains you to develop distributed applications, manipulate and analyze large data sets, optimize queries, and run machine learning models. In addition, it prepares you to implement high-performance Big Data solutions in different environments, with a focus on efficiency and scalability, skills highly in demand in today's job market.

Who is it addressed to?

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

Objectives

- Learn to handle DataFrames and RDDs to manage large volumes of data. - Run efficient SQL queries on large data sets with PySpark. - Implement complex transformations and advanced operations in PySpark. - Optimize the performance of applications in Spark using partitions and caching. - Develop and tune machine learning models using Spark MLlib. - Configure development environments in Spark for different platforms. - Apply real-time processing techniques with Spark Streaming

Spark SQL course with PySpark

$303.00

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