Scala For Data Engineering Training Course: Scalable Data Applications

Introduction

Elevate your data engineering capabilities with our Scala for Data Engineering Training Course. This program is designed to equip you with the essential skills to use Scala for building scalable data applications, enabling you to develop robust and high-performance data pipelines. In today's data-driven world, mastering Scala is crucial for organizations seeking to handle large-scale data processing and build efficient data systems. Our Scala training course offers hands-on experience and expert guidance, empowering you to leverage Scala's powerful features for diverse data engineering needs.

This scalable data applications training delves into the core concepts of Scala programming for data engineering, covering topics such as functional programming, distributed computing, and data processing frameworks. You'll gain expertise in using industry-standard tools and techniques to use Scala for building scalable data applications, meeting the demands of modern data-intensive environments. Whether you're a data engineer, software developer, or data architect, this Scala for Data Engineering course will empower you to design and implement efficient and scalable data solutions.

Target Audience:

• Data Engineers
• Software Developers
• Data Architects
• Big Data Engineers
• Backend Developers
• Data Scientists
• Anyone needing Scala for data engineering skills

Course Objectives:

• Understand the fundamentals of Scala for data engineering.
• Master functional programming principles and Scala's type system.
• Utilize Scala's collections and data manipulation libraries.
• Implement distributed data processing with Apache Spark and Scala.
• Design and build scalable data pipelines using Scala.
• Optimize Scala applications for performance and efficiency.
• Troubleshoot and address common issues in Scala data engineering.
• Implement data serialization and schema management in Scala.
• Integrate Scala with various data storage and processing systems.
• Understand how to handle large-scale data processing with Scala.
• Explore advanced Scala features for data engineering (e.g., Akka, Cats).
• Apply real world use cases for Scala in data engineering.
• Leverage Scala tools and frameworks for efficient data application development.

Duration

10 Days

Course content

Module 1: Introduction to Scala for Data Engineering

• Fundamentals of Scala for data engineering.
• Overview of Scala's features and ecosystem.
• Setting up a Scala development environment.
• Introduction to Scala's functional programming concepts.
• Best practices for Scala data engineering.

Module 2: Scala Fundamentals and Functional Programming

• Mastering functional programming principles and Scala's type system.
• Utilizing Scala’s immutable data structures.
• Implementing higher-order functions and pattern matching.
• Designing and building functional Scala applications.
• Best practices for Scala functional programming.

Module 3: Scala Collections and Data Manipulation

• Utilizing Scala's collections and data manipulation libraries.
• Implementing data transformations and aggregations.
• Designing and building data processing pipelines.
• Optimizing data manipulation with Scala.
• Best practices for Scala collections.

Module 4: Apache Spark with Scala

• Implementing distributed data processing with Apache Spark and Scala.
• Utilizing Spark's RDDs and DataFrames.
• Designing and building Spark applications.
• Optimizing Spark jobs for performance.
• Best practices for Spark with Scala.

Module 5: Scalable Data Pipeline Development

• Designing and building scalable data pipelines using Scala.
• Utilizing Scala for ETL and data integration.
• Implementing data streaming applications.
• Optimizing pipelines for data processing.
• Best practices for pipeline development.

Module 6: Scala Application Optimization

• Optimizing Scala applications for performance and efficiency.
• Utilizing performance tuning techniques.
• Implementing memory management and garbage collection.
• Designing efficient Scala code.
• Best practices for performance optimization.

Module 7: Troubleshooting Scala Applications

• Troubleshooting and addressing common issues in Scala data engineering.
• Analyzing Scala logs and error messages.
• Utilizing debugging techniques for problem resolution.
• Resolving common Scala application errors.
• Best practices for troubleshooting.

Module 8: Data Serialization and Schema Management

• Implementing data serialization and schema management in Scala.
• Utilizing Avro and Protobuf for data serialization.
• Designing and building schema registries.
• Optimizing serialization for data transfer.
• Best practices for data serialization.

Module 9: Integration with Data Systems

• Integrating Scala with various data storage and processing systems.
• Utilizing Scala for database integration.
• Implementing Scala for data warehousing tasks.
• Optimizing integration for data retrieval and processing.
• Best practices for integration.

Module 10: Large-Scale Data Processing

• Understanding how to handle large-scale data processing with Scala.
• Utilizing Scala for distributed computing.
• Implementing data sharding and parallel processing.
• Designing scalable data processing applications.
• Best practices for large data.

Module 11: Advanced Scala Features

• Exploring advanced Scala features for data engineering (Akka, Cats).
• Utilizing Akka for concurrent and distributed systems.
• Implementing functional programming with Cats.
• Designing and building advanced Scala applications.
• Optimizing advanced techniques for specific applications.
• Best practices for advanced features.

Module 12: Real-World Use Cases

• Implementing Scala for real-time data processing.
• Utilizing Scala for building data analytics applications.
• Implementing Scala for machine learning pipelines.
• Utilizing Scala for data warehousing and ETL.
• Best practices for real-world applications.

Module 13: Scala Tools Implementation

• Utilizing Scala tools and frameworks (sbt, IntelliJ IDEA).
• Implementing Scala applications with specific tools.
• Designing and building automated workflows.
• Optimizing tool usage for efficient development.
• Best practices for tool implementation.

Module 14: Application Monitoring and Logging

• Implementing application monitoring and logging.
• Utilizing Scala logging frameworks.
• Designing and building performance dashboards.
• Optimizing monitoring for real-time insights.
• Best practices for monitoring.

Module 15: Future Trends in Scala Data Engineering

• Emerging trends in Scala for data engineering.
• Utilizing Scala in cloud-native environments.
• Implementing Scala for data mesh architectures.
• Best practices for future applications.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 7 working days before commencement of the training.