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Apache Spark Training

Advance Your Big Data Career
Gain hands-on Apache Spark skills and become a certified expert in scalable data processing.

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Course Overview

Gain hands-on expertise in Apache Spark to build, optimize, and scale high-performance batch and real-time data processing solutions for enterprise analytics.

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.

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Learning Objectives

 

Who Can Attend

 

Curriculum

Module 1: Introduction to Big Data & Apache Spark
  • 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).
Module 2: Scala Programming Fundamentals (The Spark Language)
  • 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.
Module 3: Spark Core & RDD (Resilient Distributed Datasets)
  • 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.
Module 4: Spark SQL & DataFrames
  • 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.
Module 5: Performance Tuning & Optimization
  • 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.
Module 6: Spark Structured Streaming
  • 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.
Module 7: Machine Learning with Spark MLlib
  • 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.
Module 8: GraphX & Advanced Analytics
  • 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).
Module 9: Spark on Cloud (Azure Databricks/AWS EMR)
  • 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.
Module 10: Capstone Project & Certification Prep
  • 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.

Get Started with a Demo

 

Key Features of our Training.


 

Testimonials

Success Stories in Their Own Words

“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
 

FAQ's

Will I get placement assistance?

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. 

Can I attend a demo session before enrollment?

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.

What if I miss a class?

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.
What if I have more queries?
Just give us a CALL at +91-80-468-10331 OR email at info@iteanz.com
What are the payment options?

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 )
Where do the classes take place?

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.

Who are the Trainers?

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

 

Career Services

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Placement Assistance

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Resume & LinkedIn Profile Building

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Exclusive access to Iteanz Job portal

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Access to Soft Skill Enhancement

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Mock Interview Preparation

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One-on-one career guidance

 

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