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
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 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.
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.
Flexi Pass Enabled: Flexibility to reschedule your cohort within first 90 days of access.
Transform your talent. Provide comprehensive training to upskill current employees or reskill them for new roles.
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
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.
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.
• 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
• Big Data Developer
• Data Engineer
• Spark/Kafka Specialist
• Real-Time Data Pipeline Engineer
• Scala Developer for Data Applications

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

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

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





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!
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.
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.
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.
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