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Technologies / Data & Analytics

Apache Spark Streaming using Scala

The training provides an in-depth understanding of Apache Spark Streaming using the Scala language. The program focuses on practical implementation of stream processing systems, with an emphasis on performance and reliability. Participants will learn advanced reactive programming techniques and design patterns used in real-time systems. The workshop includes working with real data streams.

Issues

  • Spark Streaming Architecture

  • Reactive programming in Scala

  • Stream transformations

  • State management

  • Error handling and retry

  • Monitoring and debugging

  • Design Patterns

  • Testing the streams

  • Performance optimization

  • Integration with external systems

Benefits

  • Practical mastery of streaming programming in Apache Spark using Scala
  • Gain skills to design efficient real-time systems
  • Debugging and troubleshooting techniques for streaming applications
  • Design patterns for high availability systems
  • Acquire knowledge of stream optimization and scaling methods
  • Testing and deployment

Who is this training for?

Scala programmers looking to specialize in Big Data
Apache Spark developers interested in stream processing
Data engineers working with real-time systems
Architects of Big Data solutions
ETL specialists migrating to streaming solutions
Java developers planning to move to Scala and Spark

Prerequisites

  • Knowledge of the basics of programming in Scala
  • Experience working with Apache Spark
  • Basic knowledge of functional paradigms
  • Understanding data processing concepts

Training program

01

Architecture and components

  • Stream processing models
  • Integration with the Spark ecosystem
  • DStream and structured streams
  • Stream programming in Scala
  • Transformations and actions on streams
  • Status handling and checkpointing
02

Combining streams

  • Windowing and micro-batching
03

Advanced processing

  • Error handling and retry
  • Monitoring and debugging
  • Performance optimization
04

Integration with external systems

  • Benchmarks and best practices
  • Designing scalable solutions
  • Testing streaming applications
  • Deployment and management
05

Backpressure strategies

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 Streaming using Scala training for?

This training is designed for professionals looking to develop skills in apache spark streaming using scala. Required level: advanced.

How long is the Apache Spark Streaming using Scala 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.

Adrian Kwiatkowski
Adrian Kwiatkowski Opiekun szkolenia

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Funding Options

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Up to 80%

Development Services Database

Up to 80% funding for SMEs from EU funds

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Up to 100%

National Training Fund

Up to 100% funding for employers

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We train teams at Poland's largest companies

ING Bank - EITT client
mBank - EITT client
PKO Bank Polski - EITT client
PZU - EITT client
Allianz - EITT client
T-Mobile - EITT client
KGHM - EITT client
PGE - EITT client
IKEA - EITT client
InPost - EITT client
Leroy Merlin - EITT client
ZUS - EITT client

Interested in this training?

Contact us - we'll prepare an offer tailored to your organization's needs.

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