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Big Data Certification with Scala, Spark, and Kafka

Big Data Certification is Ranked among the Top Programs for Real-time distributed data processing using the powerful trio of Scala, Apache Spark, and Kafka

Hands-on lab experience with Spark, Scala & Kafka
Career support and job readiness post-completio
Functional Programming with Scala
Spark Core, Spark SQL, and DataFrames
Real-time data pipelines with Apache Kafka
Data ingestion, processing & streaming analytics
Certification of Completion

Licensed IT Training Institute In New Hampshire, USA

Trusted by Global Tech Leaders

Get certified in Big Data Certification with Scala, Spark, and Kafka Training Program by leading technology partners and delivered by experienced professionals from the industry. 

Big Data Certification with Scala, Spark, and Kafka Overview

Big Data Certification with skills in functional programming (Scala), real-time processing (Spark), and streaming systems (Kafka). The course offers deep, hands- on exposure to building resilient, distributed systems and handling streaming data pipelines. 

Big Data Certification with Scala, Spark, and Kafka Key Features

40 hours of instructor-led training
Access to Scala, Spark & Kafka toolchains
Flexible batch timings
Hands-on projects and real-time assignments
Course Completion Certificate
Practice Exam to Test Knowledge

Skills Covered

Functional programming with Scala
Structured Streaming with Kafka
Distributed fault-tolerant systems
RDDs & Spark transformations
Data serialization & deserialization
Scala, Spark & Kafka Tools Experience

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Benefits of Big Data Certification with Scala, Spark, and Kafka Training

Boost Your Career with Big Data Certification with Scala, Spark, and Kafka. Apache Spark and Kafka are transforming data processing and analytics, offering scalable and real-time solutions. 

Big Data Certification Trends & Growth
CAGR estimated growth by 2030
0 %
Demand of Big Data professionals
0 %
Average Annual Salary
Top Companies Hiring
Google

Training Options

Online Bootcamp

Flexi Pass Enabled: Flexibility to reschedule your cohort within first 90 days of access. 

  • Live Instructor-Led Training
  • Hands-On Labs & Practice Exercises
  • Access to Recorded Sessions
  • Official Learning Materials
  • Doubt Clearing & Q&A Sessions
  • Mock Tests & Certification Prep
  • Flexible Batch Timings
  • Post-Training Support

Corporate Training

Transform your talent. Provide comprehensive training to upskill current employees or reskill them for new roles.

Flexible pricing & billing options
Your Requirements, Our Training Expertise
Updated Course Content
Skills assessment & benchmarking
Customised Corporate Programs
Dedicated customer success manager

Detailed Curriculum

Big Data Certification and Training

Lesson 1–2: Scala Programming Foundations 
• Introduction to Scala syntax 
• Data types, control structures 
• Functions, closures, and object-oriented principles 
• Traits, collections, and functional constructs 
Lesson 3–6: Apache Spark 
• Spark architecture (driver, executors, cluster manager) 
• SparkContext and RDDs 
• Data transformations and actions 
• Caching, persistence, and DAG 
• Spark SQL and DataFrames 
Lesson 7–9: Apache Kafka 
• Kafka architecture: brokers, producers, consumers 
• Kafka topics, partitions, and offsets 
• Real-time message publishing and consumption 
• Kafka internals and reliability mechanisms 
Lesson 10–12: Kafka-Spark Integration 
• Consuming data streams from Kafka using Spark 
• Windowing, time-based aggregations 
• Building resilient streaming pipelines 

 

Hands-on Labs 

  • Scala-based data transformation
  • RDD and DataFrame processing
  • Kafka producer-consumer simulation
  • Real-time ETL pipeline (Kafka → Spark → Output sink)

About the Course

In Big Data Certification with Scala, Apache Spark, and Kafka, focusing on building real-time and batch data pipelines. Learners will gain practical experience using Scala, Spark and Kafka all essential skills for modern data engineering roles. 

Why Pursue This Field:

The ability to process massive volumes of data in real-time is critical to industries like finance, e-commerce, healthcare, and logistics. Spark and Kafka are industry-standard tools mastering these technologies puts you on track for high-paying, high-impact roles in the big data ecosystem. 

Course Learning Objectives:

• Understand the fundamentals of functional programming with Scala 
• Build and deploy data processing pipelines using Apache Spark (RDD, DataFrame, SparkSQL) 
• Stream real-time data using Apache Kafka 
• Integrate Kafka with Spark for streaming analytics 
• Handle large-scale datasets efficiently using best practices in distributed computing 
• Work on real-world capstone projects involving data ingestion, transformation, and analysis 

Career Paths After Certification:

• Big Data Developer 
• Data Engineer 
• Spark/Kafka Specialist 
• Real-Time Data Pipeline Engineer 
• Scala Developer for Data Applications

Tools Covered In This Course

Turn Knowledge into Action with Industry Projects

Foundational Project:


• Twitter Data Streaming Analysis
• Kafka-Spark Real-time Dashboard

Intermediate Project:


Stream processing with failure recovery
• Micro-batching in structured streaming

Advanced Project:


Handling late data with watermarks


Get Certified

Stand Out with an Industry-Ready Certification  

Earn your Industry-Ready Certificate (IRC) by completing your projects and clearing the pre-placement assessment  

Certification Program Advantage

  • Lifetime access to study materials
  • Personalized instructor support
  • Career assistance: resume, interview, and job prep 
  • Hands-on practice with tools and scenarios
  • SystemSkills Certificate of Completion

Placement Assistance

Unique System Skills Learners will be provided with 360-degree career guidance & Placement Assistance

Placement Assistance Process

Enroll in the course

Complete online training sessions
Learn to Build a projects

Practice with mock interviews
Interview
Preparation

What Our Learner’s Say

Highly effective course! I came in with zero Scala experience and left confidently building Spark pipelines. The Kafka modules were a standout. Got placed as a Junior Data Engineer in Jeddah within a month. Truly hands-on and career-focused!

Layla Al-Mutairi

This course bridges the gap between learning and real-world application. I appreciated how deeply we explored Spark and streaming with Kafka. The final project helped me build a portfolio that landed me a role at a fintech firm in Dubai.

Faisal Al-Qurashi

Excellent balance of Scala programming and big data tools. The instructors made tough concepts like distributed computing approachable. The course was fast-paced but structured well. I now work on real-time analytics at a healthcare startup in Bahrain.

Nour Al-Sayegh

Course FAQ: Big Data Certification and Training

This course combines the power of Scala programming with Apache Spark for distributed data processing and Apache Kafka for real-time data streaming. It equips learners to build scalable, high-performance big data applications.

A Big Data Developer in this field creates robust data pipelines using tools like Spark, Kafka, and Scala. They process both batch and streaming data, optimize system performance, ensure scalability, and maintain data integrity across distributed systems. 

• Master in-demand tools like Spark, Kafka, and Scala 
• Hands-on experience with real-world big data projects 
• Industry-recognized certification to boost your career 
Strong foundation for roles in real-time and batch data engineering

• 40 hours of live, instructor-led online training 
• Flexible batch options (weekday or weekend) 
• Lifetime access to recorded sessions 
• Certification provided upon successful course completion

• Big Data Developer 
• Spark Developer 
• Kafka Engineer 
• Real-time Data Processing Engineer 
These roles are highly sought-after in organizations building large-scale data systems.

• IT & Software 
• E-commerce 
• Healthcare 
• Finance 
• Telecommunications 
• Media & Entertainment

You’ll have full access to recorded sessions to catch up at your own pace. Additional support and Q&A sessions are also available.