Technologies / Data & Analytics

Apache Spark Basics - From Theory to Practice

The training provides a thorough knowledge of Apache Spark fundamentals, combining theoretical foundations with practical application. The program covers key aspects of data processing, from basic operations to advanced transformations. Hands-on workshops allow participants to gain hands-on experience in designing and implementing Spark-based solutions.

Issues

Apache Spark architecture
RDD and DataFrame API
Spark SQL
Transformations and actions
Memory management
Performance optimization
Stream processing
Integration with Hadoop
Testing the application
Debugging and monitoring

This training is part of the path:

Data Engineer

Benefits

Acquire fundamental knowledge of Apache Spark architecture and operating principles
Gain practical skills in data processing
Spark application optimization and debugging techniques
Assimilate best practices in designing Big Data solutions
Data analysis skills using Spark SQL
Integrating Spark with other Big Data technologies

Who is this training for?

Developers getting started with Big Data

Data analysts looking to learn about Apache Spark

System engineers migrating to Big Data solutions

Developers of distributed applications

ETL specialists looking for new tools

System administrators interested in Apache Spark

Prerequisites

Basic knowledge of Java or Python programming
General knowledge of data processing
Knowledge of SQL basics
Basic knowledge of Unix/Linux systems

Training program

Distributed programming model
RDD and DataFrame API
Spark SQL and structured processing

Transformations and actions

Query optimization
Integration with external sources

Aggregations and groupings

UDF and custom functions
Persistence and cache
Practical applications
Real-time data analysis

Integration with the Hadoop ecosystem
Testing and debugging

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 Basics - From Theory to Practice training for?

The target audience includes developers getting started with Big Data, data analysts looking to learn about Apache Spark, and system engineers migrating to Big Data solutions. Level: beginner.

How long is the Apache Spark Basics - From Theory to Practice 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.