SMACK stack for Data Science
The training provides a practical introduction to the SMACK (Spark, Mesos, Akka, Cassandra, Kafka) technology stack in the context of Data Science solutions. The program combines theory with intensive workshops, during which participants learn how to integrate the various components and use them effectively in analytical projects. Classes are conducted in a workshop format with an emphasis on practical applications and real business scenarios.
Issues
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SMACK stack architecture
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Integration of components
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Distributed processing
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Apache Spark for Data Science
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Apache Mesos and orchestration
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Reactive programming
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Apache Cassandra
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Apache Kafka
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Streaming analysis
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Design patterns for distributed systems
Benefits
- Designing analytical systems based on the SMACK stack
- To acquire the ability to integrate various components into a cohesive solution
- Techniques for implementing scalable analytical systems
- Effectively use distributed processing in Data Science projects
- Monitoring and debugging complex distributed systems
- Understand best practices for implementing and maintaining production environments
Who is this training for?
Prerequisites
- Basic knowledge of Data Science
- Programming experience in Java or Scala
- Knowledge of the basics of distributed systems
- Basic knowledge of data analysis
Training program
Architecture and components
- Integration of stack elements
- Use cases in Data Science
- Comparison with alternatives
- Implementation of analytical solutions
- Data processing with Spark
Cluster management by Mesos
- Reactive programming with Akka
- Storing data in Cassandra
- Streaming and real-time processing
- Integration with Apache Kafka
- Implementation of streaming pipelines
Real-time data analysis
- Buffering and flow control mechanisms
- Implementation and maintenance
Deployment strategies
- Monitoring and debugging
Performance optimization
- Managing the production environment
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 SMACK stack for Data Science training for?
This training is designed for professionals looking to develop skills in smack stack for data science. Required level: intermediate.
How long is the SMACK stack for Data Science training?
The training lasts 2. 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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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.