Apache Spark for Developers - Large-Scale Data Processing
Advanced Apache Spark training focusing on the practical aspects of data processing in distributed environments. The program covers both fundamental concepts of distributed processing and advanced techniques for optimizing and implementing complex data flows. The workshop is conducted in the form of intensive hands-on classes, where participants work on real data sets, implementing a variety of analytical scenarios. Special emphasis is placed on understanding the internal mechanisms of Spark and the ability to use them effectively in production projects.
Issues
-
Apache Spark architecture
-
RDD and data transformations
-
Spark SQL and DataFrame API
-
Structured Streaming
-
Performance optimization
-
Data partitioning
-
Memory management
-
Application monitoring
-
Implementation patterns
-
Application debugging
-
Integration of data sources
-
Processing reliability
Benefits
- Gain in-depth knowledge of Apache Spark's data processing mechanisms
- Designing and implementing efficient analytical solutions
- Assimilate methods for efficient resource management in distributed environments
- Advanced data processing optimization strategies
- Acquire skills for implementing and debugging streaming applications
- Understand best practices for implementing production solutions
Who is this training for?
Prerequisites
- Knowledge of programming in Scala or Python
- Basic knowledge of data processing
- Experience in working with databases
- Understand the concept of distributed processing
Training program
Architecture and components
- RDD and transformations
Memory management
- Spark SQL and DataFrame API
- Advanced processing
Query optimization
- Data partitioning
- Concurrency management
- Integration with external sources
Stream processing
- Structured Streaming
- Windowing operations
- Checkpointing and reliability
- Monitoring and debugging
- Optimization and implementation
Performance tuning
- Resource management
- Application monitoring
- Deployment patterns
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 Apache Spark for Developers - Large-Scale Data Processing training for?
The target audience includes Big Data developers working with large data sets, data engineers designing processing pipelines, and analytics solution architects. Level: advanced.
How long is the Apache Spark for Developers - Large-Scale Data Processing training?
The training lasts 3 days. It is delivered online or on-site.
Will I receive a certificate?
Yes — every participant receives a completion certificate confirming acquired competencies. EITT is ISO 9001 certified.
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
An instrument for micro, small and medium-sized companies — check whether it applies to your organisation
Check availabilityNational Training Fund
An instrument for employers — we help you check whether it can be applied
Learn moreTrusted by
We train teams at Poland's largest companies
Interested in this training?
Contact us - we'll prepare an offer tailored to your organization's needs.