Follow @iclasstraining
iClass Training in Chennai India

Apache Spark Training Chennai Benefits

  • Real Time Trainers
  • 100% Placement
  • Small Training Batch
  • Flexible Timings
  • Practical Guidance
  • Excellent Lab Facility
  • Apache Spark Resume Preparation
  • Hands on Experience
  • Spark Core Certification Support


Spark Core Training Support

Training : +91 8099 902 902

Placement : +91 8099 620 260


Apache Spark training Chennai Reviews

Best Apache Spark training institute in chennai

Apache Spark Training in Chennai & Best Apache Spark certification Training Institute in Chennai

0 out of 5 based on 0 ratings. 0 user reviews.

iClass Chennai provides real-time and placement focused Spark Core training in chennai . Our Apache Spark certification course includes basic to advanced level and our Spark Core course is designed to get the placement in good MNC companies in chennai as quickly as once you complete the Apache Spark Progamming training course. Our Spark Core trainers are Apache Spark certification certified experts and experienced working professionals with hands on real time multiple Apache Spark projects knowledge. We have designed our Spark Core course content and syllabus based on students requirement to achieve everyone's career goal. In our Spark Core training program, you will learn Spark Core real time project and Apache Spark certification placement training.

Apache Spark consists of Spark Core and a set of libraries. Apache Spark training in chennai core is the distributed execution engine and the Java, Scala, and Python APIs offer a platform for distributed ETL application development Apache Spark placement training in chennai. Additional libraries, built atop the core, allow diverse workloads for streaming, SQL, and machine learning. Spark is designed for data science and its abstraction makes data science easier. Data scientists commonly use machine learning – a set of techniques and algorithms that can learn from data. These algorithms are often iterative, and Spark’s ability to cache the dataset in memory greatly speeds up such iterative data processing, Apache Spark realtime training in chennai making Spark an ideal processing engine for implementing such algorithms. Our Apache Spark classes in chennai also includes MLlib, a library that provides a growing set of machine algorithms for common data science techniques Apache Spark course fees in chennai Classification, Regression, Collaborative Filtering, Clustering and Dimensionality Reduction. Spark’s ML Pipeline API is a high level abstraction to model an entire data science workflow. The ML pipeline package in Spark models best Apache Spark training institute in chennai a typical machine learning workflow and provides abstractions like Transformer, Estimator, Pipeline & Parameters. Our Apache Spark classes in chennai is an abstraction layer that makes data scientists more productive.

iClass Chennai offers Spark Core training with choice of multiple training locations across chennai. Our Apache Spark certification training centers are equipped with lab facilities and excellent infrastructure. We also provide Apache Spark certification certification training in chennai gives clear path for our students in. Through our associated Spark Core training centers, we have trained more than 135 Spark Core students and provided Spark Core placement training in chennai. Our Apache Spark certification course fees is value for money and tailor-made course fees in chennai based on the each student's training requirements. Spark Core training in chennai conducted on day time classes, weekend training classes, evening batch classes and fast track training classes.

Apache Spark training course content and Syllabus in Chennai

1.Introduction to Apache Spark

  • Describe the Features of Apache Spark
  • Define Apache Spark Components

2.Load and Inspect Data in Spark

  • Describe the Different Data Sources and Formats in Spark
  • Create and Use Resilient Distributed Datasets (RDD)
  • Load and Inspect Auction Data
  • Apply Operations to RDDs
  • Cache Intermediate RDD
  • Create and Use DataFrames
  • Load and Inspect Data in DataFrames

3.Build a Simple Spark Application

  • Define the Lifecycle of a Spark Program
  • Define the Function of SparkContext
  • Build a Simple Spark Application
  • Define Different Ways to Run a Spark Application
  • Run Your Spark Application
  • Package the Spark Application
  • Launch the Application

Apache Spark training duration in Chennai

Regular Classes( Morning, Day time & Evening)

  • Duration : 4 Weeks

Weekend Training Classes( Saturday, Sunday & Holidays)

  • Duration : 6 Weeks

Fast Track Training classes ( 5+ hours daily)

  • Duration : within 14 Days

Apache Spark trainer Profile & Placement

Our Apache Spark Trainers

  • More than 8 Years of experience in Apache Spark Technologies
  • Has worked on 12 realtime Apache Spark projects
  • Working in a MNC company in Chennai
  • Trained 135 Students so far.
  • Strong Theoretical & Practical Knowledge
  • Apache Spark certified Professionals

Apache Spark (Apache Spark certification) Placement Training in Chennai

  • More than 135 students Trained
  • 87% percent Placement Record
  • 405 Apache Spark Interviews Organized
  • Placement Supported by

Apache Spark training Locations in Chennai

Our Apache Spark certification Training centers

  • Adambakkam
  • Adyar
  • Ambattur
  • Anna Nagar
  • Anna Salai
  • Ashok Nagar
  • Choolaimedu
  • Chromepet
  • Ekkattuthangal
  • Guindy
  • Kodambakkam
  • Madipakkam
  • Mylapore
  • Nungambakkam
  • OMR
  • Porur
  • Saidapet
  • Sholinganallur
  • T. Nagar
  • Tambaram
  • Vadapalani
  • Vadapalani
  • Velachery
  • Villivakkam
  • Virugambakkam

Apache Spark training batch size in Chennai

Regular Batch ( Morning, Day time & Evening)

  • Seats Available : 7 students maximum per batch

Weekend Training Batch( Saturday, Sunday & Holidays)

  • Seats Available : 7 trainees per batch

Fast Track batch

  • Seats Available : 4 maximum allowed in the class.

Apache Spark related training courses in Chennai

Press Esc to close