Spark Training in Gurgaon, Delhi

Spark

Taming Big Data with Apache Spark, hands-on

Duration : 6 months Classes : 36 Days : Weekdays / Weekends

Overview
Curriculum
Pre-requisite
Review

The Engine Driving Modern Big Data Apache Spark is the undisputed industry leader for lightning-fast, large-scale data processing, analytics, and machine learning. Built to handle petabyte-scale data much faster than traditional systems like Hadoop MapReduce, Spark is the essential technology powering real-time decisions, advanced AI models, and sophisticated business intelligence at top tech firms. Our comprehensive Spark training is designed to provide you with a deep understanding of its unified architecture , enabling you to transition from slow batch processing to high-speed, iterative analytics and unlock transformative value from your data assets. This is the skill set that defines modern Data Engineering and Data Science.

Hands-On Proficiency Across the Spark Ecosystem This intensive program provides practical, hands-on mastery of the entire Spark ecosystem. You will gain expertise in the core Spark RDDs (Resilient Distributed Datasets) and the more modern, optimized Spark DataFrames and Spark SQL. The training emphasizes coding practical solutions in your preferred language (Python/PySpark or Scala, depending on the course offering), covering essential techniques like data ingestion, transformation (ETL/ELT), and efficient cluster resource management. By working through real-world, scalable projects, you will learn how to optimize query execution, minimize shuffling, and write robust code ready for production environments.

Career Acceleration in Real-Time and ML Engineering Proficiency in Apache Spark is a high-value differentiator and a core requirement for roles like Senior Data Engineer, Machine Learning Engineer, and Big Data Architect. This course accelerates your career by covering the specialized modules: Spark Streaming for processing real-time data flows and MLlib for building scalable machine learning pipelines. By mastering Spark's capabilities for both batch and stream processing, you position yourself at the forefront of the Big Data field, ready to architect and implement the next generation of scalable, intelligent applications.

Target Audience:-
- Data Engineers
- Data Scientists & ML Engineers
- Developers
- Big Data Architects

Learning Outcomes:-
- Understand Spark Architecture
- Master Spark DataFrames & SQL
- Optimize Performance
- Process Streaming Data
- Utilize MLlib (Foundational)
- Develop Production Code

Course Format:-
✔ The course shall be delivered through a combination of lectures, interactive discussions & case studies
✔ Participants are exposed to practical exercises and new-age projects, where they learn by doing
✔ Participants shall have access to online resources, including reading materials, videos & business simulations
✔ Students shall receive all the study material
✔ Guest speakers from the industry may be invited to share insights and experiences
✔ Regular assessments and quizzes will be conducted to reinforce learning
✔ This is a Classroom only training
✔ Corporates: We understand your specific needs and goals. Contact us for customizations to this training

Trainers:-
✔ Equipped with multidisciplinary backgrounds
✔ Experts from the field of Maths, Financial Markets, AIML, Data Science & Management
✔ Each with over 25+ years of International experience working in EU / US / Australia
✔ All our trainers are Highly Qualified and Certified, in their respective subject areas

- You are willing to learn.

- Professionals entering into Big Data Hadoop program should have a basic understanding of Core Programming and SQL.

- You are familiar with Hadoop Batch concepts.

....

NB: All our trainings are always tailored to adopt to the Individual's Pace and Learning Depth.

NB: As a stepping stone, providing foundational knowledge, Bridge Courses are conducted periodically, to help students transition between different levels by closing knowledge gaps. These classes can be attended ad hoc, and are 'complimentary' for our bonafide students.

Kindly fill the DownloadPDF Form for the Brouchre with latest curriculum and full Training details.
Or you may Book an Appointment to collect your Brouchre and complete your registration.

This syllabus provides a structured, module-by-module breakdown of this comprehensive training program focused on participants overall performance, retention, and engagement, covering foundational theory, implementation, best industry practices and advanced techniques in the subject.

Module 1: Introduction to Apache Spark
✔ What is Apache Spark and why it matters
✔ Spark ecosystem overview: Core, SQL, Streaming, MLlib, GraphX
✔ Spark architecture: driver, executors, cluster manager
✔ Setting up Spark locally and on cloud platforms

Module 2: Spark Core & RDDs
✔ Understanding Resilient Distributed Datasets (RDDs)
✔ Transformations vs actions
✔ Lazy evaluation and lineage
✔ Working with RDDs: creation, operations, persistence

Module 3: DataFrames & Spark SQL
✔ Introduction to DataFrames and Datasets
✔ Schema inference and manual schema definition
✔ SQL queries using spark.sql()
✔ Joins, aggregations, and window functions

Module 4: Data Processing & Optimization
✔ Data cleaning and transformation techniques
✔ Partitioning, caching, and broadcast joins
✔ Performance tuning and Spark UI
✔ Handling skewed data and memory management

Module 5: Structured Streaming
✔ Batch vs streaming in Spark
✔ Structured Streaming architecture and APIs
✔ Event-time vs processing-time
✔ Watermarking, triggers, and output modes

Module 6: Machine Learning with MLlib
✔ MLlib overview and pipeline architecture
✔ Feature extraction and transformation
✔ Classification, regression, clustering algorithms
✔ Model evaluation and persistence

Module 7: Capstone Project & Deployment
✔ Building an end-to-end Spark application
✔ Integrating Spark with Hadoop, Hive, Kafka
✔ Deploying Spark jobs on YARN, Mesos, Kubernetes
✔ Certification prep and interview guidance

NB:The curriculum is regularly subjected to updates, reflecting the latest industry trends & current technological advancements.

At Vyom Data Sciences, we aspire to provide the latest curriculum and most recent technology, as a standard component of all our trainings. Experts, with 25+ years of experience from USA, Europe and Australia, bring the best industry practices while designing and executing these trainings. All our trainers are Highly Qualified and Certified in their respective subject areas.

Kindly fill the DownloadPDF Form for the Brouchre with latest curriculum and full Training details.
Or you may Book an Appointment to collect your Brouchre.

Bhawana

Fabulous NLP + ML course

I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.

Harish

Excellent ML course!

The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.