Apache Spark Training

Apache Spark Training offered by Iteanz equips data engineers, data analysts, and big data professionals with the knowledge and hands-on skills required to design, develop, and optimize large-scale data processing solutions using Apache Spark. The training provides an in-depth understanding of distributed data processing, in-memory computing, and real-time analytics for handling massive datasets efficiently.

Participants will gain practical experience working with Spark Core, Spark SQL, DataFrames & Datasets, Spark Streaming, MLlib, and Spark on Hadoop and cloud platforms. The course focuses on building high-performance batch and streaming applications, optimizing Spark jobs, and integrating Spark with popular big data ecosystems to enable faster insights, scalable analytics, and data-driven decision-making across enterprise environments.

Understand the limitations of MapReduce and how Spark’s in-memory architecture overcomes them.

Master Scala programming (Object-Oriented & Functional) for Spark application development.

Build and manipulate Resilient Distributed Datasets (RDDs) and use the DataFrame/Dataset API.

Perform complex data analysis using Spark SQL and integrate with Hive/NoSQL databases.

Develop real-time data processing applications using Spark Structured Streaming.

Implement scalable machine learning algorithms using Spark MLlib.

Optimize Spark jobs using caching, partitioning, and broadcast variables.

Data Engineers & Developers (Java, Python, or Scala backgrounds).

Data Scientists & Analysts needing scalable processing power.

Architects designing Big Data solutions.

Software Engineers interested in distributed systems.

Database Administrators moving toward NoSQL and Cloud-based Big Data environments.

The Evolution of Big Data: 3Vs and beyond.
Hadoop Ecosystem Overview: HDFS and YARN.
The Spark Revolution: In-memory processing vs. Disk-based processing.
Spark Stack: Core, SQL, Streaming, MLlib, and GraphX.
Installation and Environment Setup (Local vs. Cluster).

Introduction to Scala REPL and Build Tools (SBT/Maven).
Variables, Data Types, and Control Structures.
Functional Programming: Higher-order functions, Anonymous functions, and Closures.
Object-Oriented Scala: Classes, Objects, Traits, and Case Classes.
Collections API: Lists, Maps, Sets, and Tuples.

Understanding RDD Abstraction and Lineage.
Transformations: Map, Filter, FlatMap, GroupBy, and Join (Narrow vs. Wide).
Actions: Count, Collect, Reduce, and SaveAsTextFile.
Lazy Evaluation and Directed Acyclic Graph (DAG) execution.
Shared Variables: Broadcast Variables and Accumulators.

The Need for Spark SQL and the Catalyst Optimizer.
Creating DataFrames from CSV, JSON, Parquet, and JDBC.
DataFrame Operations: Select, Filter, Join, and Aggregations.
Interoperating between RDDs and DataFrames.
Spark-Hive Integration: Querying Hive tables using Spark SQL.

Persistence and Caching strategies (MEMORY_ONLY, DISK_ONLY, etc.).
Understanding Shuffling and Partitioning.
Data Locality and Serialization (Kryo vs. Java).
Monitoring with Spark Web UI: Debugging Jobs, Stages, and Tasks.

Introduction to Real-time Stream Processing.
DStreams vs. Structured Streaming API.
Sources and Sinks: File source, Kafka, and Socket.
Windowing Operations: Sliding windows and Watermarking for late data.
Checkpointing for fault tolerance.

Introduction to the ML Pipeline (Transformers and Estimators).
Feature Engineering: StringIndexer, VectorAssembler, and Scaling.
Supervised Learning: Linear Regression and Logistic Regression.
Unsupervised Learning: K-Means Clustering.
Model Evaluation and Hyperparameter Tuning.

Introduction to Graph Theory in Spark.
Vertex and Edge RDDs.
Common Graph Algorithms: PageRank, Connected Components, and Triangle Counting.
Integration with NoSQL databases (Cassandra/HBase).

Overview of Managed Spark Services.
Introduction to Delta Lake and the Medallion Architecture (Bronze/Silver/Gold).
Automating Workflows with Databricks Jobs.
Data Governance with Unity Catalog.

Real-world Use Case: Building an End-to-End ETL and Streaming Pipeline.
Mock Interviews and Resume Building.
Preparation for Cloudera/Databricks Spark Developer Certifications.

Expert Trainers

Learn from experienced professionals and industry experts with real-world knowledge.

Hands-On Training

Gain practical experience through real-world scenarios, projects, and interactive exercises.

Customizable Corporate Training

Tailored solutions to meet the unique needs of organisations and teams.

Certifications & Assistance

Courses are aligned with international standards and we also help you to prepare for globally recognised certifications.

Global Recognition

Trusted by individuals and enterprises worldwide, with a track record of successful alumni and partnerships.

24 x 7 Expert Support

We have a 24x7 online support team to resolve all your technical queries, through a ticket-based tracking system, for a lifetime.

“Course brilliantly structured from DataFrame API to Structured Streaming. Real-world use cases on fault tolerance and checkpointing were a highlight. Faculty's depth on partitioning and broadcast joins solved our long-standing data shuffle issues.”

Ashish Bohra

Big Data Developer

“Comprehensive coverage of MLlib for scalable machine learning pipelines. The session on feature transformers and model persistence in a distributed environment was exceptionally well-delivered. Very relevant to production-grade model deployment.!”

Shaleen Bhanot

ML Engineer

“Perfect for understanding Spark's capabilities to better manage my tech team. The faculty simplified the 'why' behind the technology. Smooth coordination from the Iteanz support staff made the entire learning process hassle-free.”

Rajat Mehra

Project Manager

“The course made big data concepts surprisingly approachable. Complex topics were broken down clearly. The team was always patient with my endless questions. A great confidence booster for working with data teams.”

Mohit Dubey

Business Analyst

Iteanz is providing 100% placement assistance on our key courses. We help you with career counseling, Exams on Key courses, Mock Interviews and Technical Interviews Tips.

Landing an interview proves that you have the job-specific skills for the position, but how do your interview skills stack up? Also, Soft skills are often the most important factor in showing you're the best candidate for the job.

Hence we are conducting FREE TRAINING on Soft-Skills worth Rs-25,000 to all Iteanz students which will help you to attend the interviews with more confidence.

Yes. We arrange a free demo for all the courses either in the Classroom or Live-Online demo. Please fill the demo request form to schedule a free demo.

You will never miss a lecture at myTectra. You can choose either of the two options:

Classroom Training:

If you miss one or a few classes we can give a backup class based on the trainer and your convenient time.
In case you miss many classes, we can reschedule your class with upcoming batches or other running batches based on how many course topics you have completed so far.

Live-Online Training:

View the recorded session of the class available in your LMS.
You can attend the missed session, in any other live batch.

Just give us a CALL at +91-80-468-10331 OR email at info@iteanz.com

Payments can be made using any of the following options and a receipt of the same will be issued to you automatically via email for both classroom training and Online training.

Visa Debit/Credit Card
American Express and Diners Club Card
Master Card
PayPal
Net Banking/Wire Transfer
UPI Payment such as Google Pay, PhonePe, Paytm
Cash/Cheque/DD ( Not for Online Training )

For Individual:

Classroom Training - Bangalore

Live-Online Training - Globally

For Corporates:

Classroom Training - We deliver classroom training for corporate in more than 20 countries. Send us an Enquiry Now!

Online Training - Globally

* All of the classes are conducted live online. They are interactive sessions that enable you to ask questions and participate in discussions during class time. We do, however, provide recordings of each session you attend for your future reference.

Our Trainer’s are chosen not only for their knowledge and expertise but also for their real-time experience in the respective courses.

Placement Assistance

Resume & LinkedIn Profile Building

Exclusive access to Iteanz Job portal

Access to Soft Skill Enhancement

Mock Interview Preparation

One-on-one career guidance

Apache Spark

Apache Spark for Beginners: A Complete Step-by-Step Guide

Dec 30, 2025 3:02:11 PM 6 min read

Explore Our Enterprise Services

Course Overview

Learning Objectives

Who Can Attend

Curriculum

Get Started with a Demo