Scala For Big Data Development Training Course: Scalable Big Data Apps

Introduction

Master the power of functional programming for Big Data with our Scala for Big Data Development Training Course. This program is designed to equip you with the essential skills to build scalable Big Data applications with Scala, enabling you to handle massive datasets and drive high-performance data processing. In today's Big Data landscape, Scala's conciseness and efficiency are crucial for building robust and maintainable applications. Our Scala training course provides hands-on experience and expert guidance, empowering you to create powerful Big Data solutions.

This Big Data Scala development training delves into the core concepts of Scala for Big Data, covering topics such as Spark with Scala, Akka, and advanced functional programming techniques. You'll gain expertise in using industry-standard tools and techniques to build scalable Big Data applications with Scala that meet the demands of modern data environments. Whether you're a Big Data developer, data engineer, or software architect, this Scala course will empower you to build high-performance data applications.

Target Audience:

• Big Data Developers
• Data Engineers
• Software Architects
• Scala Developers
• Data Scientists
• Java Developers transitioning to Scala
• Anyone needing Scala for Big Data skills

Course Objectives:

• Understand the fundamentals of Scala for Big Data development.
• Master Spark with Scala (Spark Scala) for distributed data processing.
• Utilize Akka for building concurrent and distributed systems.
• Implement advanced functional programming techniques in Scala.
• Design and build scalable Big Data applications with Scala.
• Optimize Scala code for performance and efficiency.
• Troubleshoot and debug Scala Big Data applications.
• Implement data security and access control in Scala data workflows.
• Integrate Scala with various Big Data platforms.
• Understand how to monitor and maintain Scala Big Data systems.
• Explore advanced Scala patterns and techniques for Big Data.
• Apply real world use cases for Scala in Big Data development.
• Leverage Scala for building real-time data processing applications.

Duration

10 Days

Course content

Module 1: Introduction to Scala for Big Data Development

• Fundamentals of Scala for Big Data.
• Overview of Scala's advantages for Big Data processing.
• Setting up a Scala Big Data development environment.
• Introduction to Scala concepts and syntax.
• Best practices for Scala Big Data development.

Module 2: Spark with Scala (Spark Scala)

• Utilizing Spark with Scala for distributed data processing.
• Implementing Spark DataFrames and Datasets.
• Designing and building Spark applications in Scala.
• Optimizing Spark applications for performance.
• Best practices for Spark Scala.

Module 3: Akka for Concurrent Systems

• Utilizing Akka for building concurrent and distributed systems.
• Implementing Akka Actors and Streams.
• Designing and building Akka applications for Big Data.
• Optimizing Akka applications for performance.
• Best practices for Akka.

Module 4: Advanced Functional Programming in Scala

• Implementing advanced functional programming concepts.
• Utilizing higher-order functions and pattern matching.
• Implementing functional data structures.
• Designing and building functional data pipelines.
• Best practices for functional programming.

Module 5: Scalable Big Data Application Design

• Designing scalable Big Data applications with Scala.
• Utilizing Scala best practices for building robust systems.
• Implementing microservices architecture with Scala.
• Optimizing application performance and resource utilization.
• Best practices for scalable application design.

Module 6: Performance Optimization and Efficiency

• Optimizing Scala code for performance and efficiency.
• Utilizing profiling and benchmarking tools.
• Implementing concurrency and parallelism in Scala.
• Designing efficient data processing pipelines.
• Best practices for performance optimization.

Module 7: Troubleshooting and Debugging

• Debugging Scala Big Data applications.
• Analyzing performance and data issues.
• Utilizing debugging tools and techniques.
• Resolving common Scala Big Data problems.
• Best practices for troubleshooting.

Module 8: Data Security and Access Control

• Implementing data security in Scala data workflows.
• Utilizing authentication and authorization.
• Implementing data encryption and masking.
• Managing data permissions and privileges.
• Best practices for data security.

Module 9: Integration with Big Data Platforms

• Integrating Scala with various Big Data platforms.
• Utilizing data connectors and APIs.
• Implementing data transfer between Scala and Big Data systems.
• Best practices for integration.

Module 10: Monitoring and Maintenance

• Monitoring Scala Big Data systems.
• Implementing alerting and notifications.
• Utilizing monitoring tools and techniques.
• Managing Scala Big Data applications.
• Best practices for monitoring.

Module 11: Advanced Scala Patterns and Techniques

• Implementing advanced Scala patterns for Big Data.
• Utilizing Scala for building streaming applications.
• Implementing advanced concurrency patterns.
• Advanced techniques for Scala Big Data development.
• Best practices for advanced patterns.

Module 12: Real-World Use Cases

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

Module 13: Scala and Cloud Environments

• Deploying Scala Big Data applications on cloud platforms.
• Utilizing cloud-based Scala libraries and services.
• Optimizing cloud resources for Scala applications.
• Best practices for cloud deployment.

Module 14: Scala and Data Governance

• Implementing data governance policies in Scala data workflows.
• Utilizing metadata management for Scala data.
• Implementing data lineage and data dictionary.
• Best practices for data governance.

Module 15: Future Trends in Scala for Big Data Development

• Emerging trends in Scala for Big Data.
• Utilizing AI and automation in Scala data pipelines.
• Implementing serverless Scala data applications.
• Best practices for future Scala development.

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.