iClass Training in Pune India

Apache Spark Training Pune Benefits

  • Real Time Trainers
  • 100% Placement
  • Small Training Batch
  • Flexible Timings
  • Practical Guidance
  • Excellent Lab Facility
  • 24 X 7 Online Training
  • Apache Spark Resume Preparation
  • Hands on Experience
  • Spark Core Certification Support

 

Spark Core Training Support

Training : +91 9672234513

Placement : +91 9672234514

Classroom & Online Training

 

Apache Spark training Pune Reviews

Apache Spark training Pune Reviewed by Harkrishna

on 2021-01-07

5 / 5 5 Star Rating: Excellent

I have completed my After Effects in iClass Training Pune which is a best institute in Pune for me. And teaching was extraordinary. He uses to give all the notes, he use to say each and every point. Thanks to iClass Training Pune in Megapolis centre,

------------

Apache Spark training Pune Reviewed by Lalli

on 2021-01-06

4 / 5 4 Star Rating: Very Good

I have done SAP PP certification training from iClass Training Pune in Sadashiv Peth,which is one of the best institutes in Pune. The best thing about the institute is their experienced staff and upgraded labs.

------------

Apache Spark training Pune Reviewed by Abhi

on 2021-01-02

4 / 5 4 Star Rating: Very Good

It was a good experience of getting ibm websphere training at iClass Training Pune from Pune Airport. The experts, the labs everything was very good. I feel very comfortable at the company and learning was a memorable experience in xvristitute from Pune.

------------

Apache Spark training Pune Reviewed by Chandrakala

on 2020-12-27

4 / 5 4 Star Rating: Very Good

iClass Training Pune center is one the best placement institute for Ansys in Pune because iClass Training Pune has very good tie-ups with corporate companies in Pune for Ansys placements. Thanks Chandrakala

------------

Apache Spark Training in our Branches

  • Apache Spark in Delhi
  • Apache Spark in Gurgaon
  • Apache Spark in Noida
  • Apache Spark in Kolkata
  • Apache Spark in Mumbai
  • Apache Spark in Chennai
  • Apache Spark in Ahmedabad
  • Apache Spark in Bangalore
  • Apache Spark in Hyderabad
  • Apache Spark in Coimbatore

Best Apache Spark training institute in pune

Apache Spark Training in Pune Classroom & Online

4 Star Rating: Very Good 4.3 out of 5 based on 3498 student ratings.

iClass Pune provides real-time and placement focused Spark Core learning in pune . Our Apache Spark certification course includes basic to advanced level with classroom & Online Learning options. Apache Spark Progamming course curriculam is designed to get the job placement in reputed MNC companies in pune as quickly as once you complete the your Apache Spark Progamming course. Our Apache Spark trainers in pune are certified and experienced working professionals with hands on real time knowledge. We have designed our course content and syllabus based on students requirement to achieve everyones career goal. In our Spark Core training program, you will learn to work.

iClass Pune offers Spark Core course through online training with live one-to-one learning options. Considering covid-19 pandemic, many of our students in our iClass Pune learning centers, opted to Online learning mode from Classroom. This helped them to continue Spark Core training Online without any delay in course completion. We offer both combination of Classroom / Instructor-led training and Apache Spark online training in Pune. Whenever you can travel, you can attend the Apache Spark classroom classes or choose to attend our Apache Spark online classes. You can also switch to Classroom from online classes without any additional course fees.

Apache Spark consists of Spark Core and a set of libraries. Apache Spark training in pune 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 pune. 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 pune making Spark an ideal processing engine for implementing such algorithms. Our Apache Spark classes in pune also includes MLlib, a library that provides a growing set of machine algorithms for common data science techniques Apache Spark course fees in pune 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 pune a typical machine learning workflow and provides abstractions like Transformer, Estimator, Pipeline & Parameters. Our Apache Spark classes in pune is an abstraction layer that makes data scientists more productive.

iClass Pune offers Spark Core training with choice of multiple training locations across pune. Our Apache Spark certification training centers are equipped with lab facilities and excellent infrastructure. We also provide Apache Spark certification certification training in pune gives clear path for our students in. Through our associated Spark Core training centers, we have trained more than 3540 Spark Core students and provided Spark Core placement training in pune. Our Apache Spark certification course fees is value for money and tailor-made course fees in pune based on the each students training requirements. Spark Core training in pune conducted on day time classes, weekend training classes, evening batch classes and fast track training classes.

Apache Spark training course content and Syllabus in Pune

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 Pune

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 21 Days

Apache Spark trainer Profile & Placement

Our Apache Spark Trainers

  • More than 7 Years of experience in Apache Spark Technologies
  • Has worked on 11 realtime Apache Spark projects
  • Working in a MNC company in Pune
  • Trained 3540 Students so far.
  • Strong Theoretical & Practical Knowledge
  • Apache Spark certified Professionals

Apache Spark (Apache Spark certification) Placement Training in Pune

  • More than 3540 students Trained
  • 2634 students Placed
  • 1694 Interviews Organized
  • Placement Supported by InterviewDesk.com

Apache Spark training Locations in Pune

Our Apache Spark certification Training centers

  • Aundh
  • Baner Road
  • Camp
  • Chinchwad
  • Deccan Gymkhana
  • Karve Road
  • Kothrud
  • NIBM ROAD
  • Pimpri Colony
  • Sadashiv Peth
  • Shivaji Nagar
  • Yerwada

Apache Spark training batch size (students per class) in Pune

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 Pune

Press Esc to close