PySpark Training in Gurgaon, Delhi

PySpark

Big Data with Apache Spark PySpark: Hands on PySpark, Python

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

Overview
Curriculum
Pre-requisite
Review

The Essential Engine for Big Data In today's data-driven world, handling massive, terabyte-scale datasets is a core requirement, and Apache Spark is the undisputed champion for fast, general-purpose cluster computing. Our specialized PySpark training focuses on the powerful Python API for Spark, providing you with the essential skills to unlock high-speed data processing, machine learning, and real-time analytics. This course is your direct route to becoming a high-value Big Data Engineer or Data Scientist, capable of building robust, scalable data pipelines and processing complex data across large clusters with unprecedented efficiency and speed.

Practical, Hands-On Data Transformation Move beyond theoretical concepts and gain hands-on mastery of the core PySpark modules, including RDDs, DataFrames, and Spark SQL. We guide you through practical exercises on data ingestion, cleaning, transformation (ETL/ELT), and aggregation across various file formats (Parquet, CSV, JSON). You will learn how to effectively use lazy execution and optimize your code for distributed environments, ensuring your applications run efficiently on any cluster. By the end of this training, you will be proficient in using PySpark to manipulate complex structured and unstructured data, delivering actionable insights at scale.

Career Acceleration in Data Engineering The demand for PySpark proficiency is skyrocketing, particularly in sectors like FinTech, E-commerce, and Telecommunications. This intensive program is designed to be a career accelerator, equipping you with the tools needed to work with distributed storage systems and integrate Spark with other Big Data technologies. You will learn to write production-ready code that leverages the full power of Spark's machine learning library, MLlib, and structured streaming capabilities. Investing in this course means investing in a skill set that directly translates into higher earning potential and immediate relevance in the rapidly evolving Big Data landscape.

Target Audience:-
- Data Engineers
- Data Scientists
- Python Developers
- BI Analysts & Report Developers

Learning Outcomes:-
- Understand Spark Architecture
- Master Spark DataFrames
- Build ETL/ELT Pipelines
- Optimize Performance
- Utilize Advanced Features
- Execute on Clusters

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

-A firm understanding of Python is expected to get the best out of the course. Familiarity with Spark would also be helpful.

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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 PySpark
✔ What is Apache Spark and why PySpark?
✔ Spark ecosystem and architecture
✔ Installing and configuring PySpark

Module 2: Spark Core & RDDs
✔ Understanding Resilient Distributed Datasets (RDDs)
✔ Transformations vs actions
✔ Lazy evaluation and lineage
✔ Caching and persistence

Module 3: DataFrames & Spark SQL
✔ Creating DataFrames from various sources
✔ DataFrame operations
✔ SQL queries using spark.sql()
✔ Schema inference and manual schema definition

Module 4: Data Cleaning & Transformation
✔ Handling missing/null values
✔ Data type casting and conversions
✔ Working with dates, strings, and complex types
✔ User-defined functions (UDFs) and built-in functions

Module 5: Advanced Data Processing
✔ Window functions and ranking
✔ Pivoting and unpivoting data
✔ Broadcast joins and performance tuning
✔ Partitioning and bucketing

Module 6: Working with External Data Sources
✔ Reading/writing from HDFS, S3, JDBC, Hive, Delta Lake
✔ Integration with Kafka and streaming sources
✔ Data ingestion best practices

Module 7: Spark Streaming (Structured Streaming)
✔ Introduction to real-time data processing
✔ Structured Streaming APIs and triggers
✔ Watermarking and late data handling
✔ Streaming joins and aggregations

Module 8: Testing & Debugging
✔ Logging and monitoring Spark jobs
✔ Debugging common errors
✔ Writing unit tests

Module 9: Performance Optimization
✔ Catalyst optimizer and Tungsten engine
✔ Partitioning strategies and memory tuning
✔ Caching, checkpointing, and job optimization

Module 10: Capstone Project & Certification Prep
✔ End-to-end big data project using PySpark
✔ Best practices for production deployment
✔ Preparing for Spark Developer certifications

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.