Python and Spark for Big Data (PySpark)
Advanced training combining the capabilities of Python and Apache Spark in the context of Big Data processing. The workshop program covers both the theoretical foundations of distributed data processing and the practical aspects of implementing Big Data solutions. Participants will learn the tools and techniques necessary to efficiently process large data sets in a distributed environment, with a focus on performance optimization and scalability.
Issues
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Apache Spark architecture
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Distributed processing
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Transformations and actions
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Spark SQL and DataFrames
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Machine Learning at Spark
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Spark Streaming
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Performance optimization
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Application monitoring
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Cluster management
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Integration of data sources
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Graph processing
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Best practices in Big Data
Benefits
- The participant will be able to design and implement efficient Big Data solutions using the Apache Spark and Python ecosystem
- He or she will gain the ability to optimize data processing in a distributed environment and effectively manage cluster resources
- To apply advanced analytical techniques on large data sets, including machine learning and streaming analytics
- Will learn the practical aspects of deploying and maintaining Spark applications in a production environment
- Will know how to monitor and optimize the performance of Big Data applications
- Will develop skills in integrating different data sources into Big Data solutions
Who is this training for?
Prerequisites
- Practical knowledge of Python
- Basic knowledge of Big Data
- Experience in data processing
- Knowledge of SQL
Training program
Spark Architecture
- RDD and DataFrames
- Transformations and actions
Memory management
- PySpark data processing
- Operations on DataFrames
- Windowing and partitioning
Query optimization
- Integration with external sources
- Machine Learning with MLlib
Spark Streaming
- Spark SQL
Graph processing
- Implementation and monitoring
- Cluster configuration
- Performance monitoring
- Debugging the application
- Optimization of resources
Delivery Methods
Online
- Convenience of participating from anywhere
- Interactive live sessions with trainer
- Materials available for 30 days
- No travel costs
On-site
- Direct contact with trainer and group
- Intensive hands-on workshops
- Networking with other participants
- Full focus on learning
Frequently asked questions
Who is the Python and Spark for Big Data (PySpark) training for?
This training is designed for professionals looking to develop skills in python and spark for big data (pyspark). Required level: advanced.
How long is the Python and Spark for Big Data (PySpark) training?
The training lasts 3. Available in online or on-site format.
Will I receive a certificate?
Yes — every participant receives a completion certificate confirming acquired competencies. EITT holds ISO 9001 accreditation.
Can this training be conducted for a closed group?
Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.
Request a quote
Funding Options
Check funding options for your company
Development Services Database
Up to 80% funding for SMEs from EU funds
Check availabilityNational Training Fund
Up to 100% funding for employers
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Interested in this training?
Contact us - we'll prepare an offer tailored to your organization's needs.