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Apache Spark  Training in Chennai

Apache Spark Training in Chennai

Apache Spark Training in Chennai offered by Greens Technologys with 100% hands-on practical classes. Our Apache Spark Training primarily focuses in getting placement for all. We crafted our course syllabus which gives basic to advanced level of expertise on Apache Spark training at end of course. Our Apache Spark training syllabus will be enough to appear for certification and interviews confidently. We are more than 100+ trainers working in MNCs with 7-18+ years of experience on Apache Spark technologies. Our Apache Spark trainers will help you to build your resume and share their project exposures. By doing Apache Spark training in Chennai with Greens Technologys anyone can become expert if they passionately learn this technology in short time.

We at Greens Technologys provide Apache Spark training in Chennai. Our Apache Spark Training centres perfectly equipped with all the needed facilities like lab, class rooms, meeting hall and more. We encourage our Apache Spark students to appear for certification at end of their course. For record in the last month we successfully trained more than 43+ students in Apache Spark technology in our institute. In that almost 90% peoples got better opportunity with our guidance and motivation. When it comes to Apache Spark training course fee we are the very lowest bidders in the market because we are not interested to make serious business out of this training. We are conducting Apache Spark class room training, Apache Spark online training and Apache Spark corporate training. We offer fast track and one-to-one training for Apache Spark if requested by participant. We assure that we are giving best of our knowledge for every Apache Spark training in Chennai.

Apache Spark is created for in-memory computing for lightning speed processing of applications. Apache Spark is basically a processing engine built with the objective of quicker processing, ease of use and better analytics. Spark is a better alternative to Map Reduce where large amount of data can be processed with much lower latency than Map Reduce. Apache Spark supports Java, Python APIs and Scala unlike Map Reduce that supports only Java. Spark can access diverse data sources like Amazon S3, No SQL databases like Cassandra, HBase and Hadoop Distributed File System.

Upcoming Batches

Starts Duration Days Time (IST)
04th Nov 4 Weeks Mon – Fri 07:30AM – 09:00AM
07th Nov 6 Weeks Sat & Sun 09:00AM – 11:30AM
09th Nov 4 Weeks Mon – Fri 08:30AM – 10:00AM
11th Nov 4 Weeks Mon – Fri 08:00AM – 09:30AM
14th Nov 6 Weeks Sat & Sun 11:00AM – 1:30PM
16th Nov 4 Weeks Mon – Fri 07:00AM – 08:30AM
18th Nov 4 Weeks Mon – Fri 10:00AM – 11:30AM
21st Nov 6 Weeks Sat & Sun 12:30PM – 03:00PM
23rd Nov 4 Weeks Mon – Fri 08:30AM – 10:00AM
25th Nov 4 Weeks Mon – Fri 10:00AM – 11:30AM
28th Nov 6 Weeks Sat & Sun 12:30PM – 03:00PM
30st Nov 4 Weeks Mon – Fri 10:00AM – 11:30AM
10% EARLYBIRD OFF for December Batches (Expires on 29th Nov)
02nd Dec 4 Weeks Mon – Fri 10:00AM – 11:30AM
05th Dec 6 Weeks Sat & Sun 12:30AM – 03:00PM
07th Dec 4 Weeks Mon – Fri 07:00AM – 08:30AM
09th Dec 4 Weeks Mon – Fri 07:00AM – 08:30AM
Schedule does not suit you, contact us now! | Want to take one-on-one training, contact us now!

Apache Spark Training Syllabus in Chennai

Getting Familiar with Spark

  • Apache Spark in Big Data Landscape and purpose of Spark
  • Apache Spark vs. Apache MapReduce
  • Components of Spark Stack
  • Downloading and installing Spark
  • Launch Spark

Working with Resilient Distributed Dataset (RDD)

  • Transformations and Actions in RDD
  • Loading and Saving Data in RDD
  • Key-Value Pair RDD
  • MapReduce and Pair RDD Operations
  • Playing with Sequence Files
  • Using Partitioner and its impact on performance improvement

Spark Application Programming

  • Master SparkContext
  • Initialize Spark with Java
  • Create and Run Real time Project with Spark
  • Pass functions to Spark
  • Submit Spark applications to the cluster

Spark Libraries

Spark configuration, monitoring, and tuning

  • Understand various components of Spark cluster
  • Configure Spark to modify:
  • Spark properties
  • environmental variables
  • logging properties
  • Visualizing Jobs and DAGs
  • Monitor Spark using the web UIs, metrics, and external instrumentation
  • Understand performance tuning requirements

Spark Streaming

  • Understanding the Streaming Architecture � �DStreams and RDD batches
  • Receivers
  • Common transformations and actions on DStreams

MLlib and GraphX

Apache Spark trainer Profile & Placement

Our Apache Spark Trainers

  • More than 10 Years of experience in Apache Spark
  • Has worked on multiple realtime Apache Spark projects
  • Working in a top MNC company in Chennai
  • Trained 2000+ Students so far
  • Strong Theoretical & Practical Knowledge
  • Apache Spark certified Professionals

Apache Spark Placement Training in Chennai

  • More than 2000+ students Trained
  • 93% percent Placement Record
  • 1100+ Interviews Organized

Apache Spark training batch size in Chennai

Regular Batch ( Morning, Day time & Evening)

  • Seats Available : 8 (maximum)

Weekend Training Batch( Saturday, Sunday & Holidays)

  • Seats Available : 8 (maximum)

Fast Track batch

  • Seats Available : 5 (maximum)

Our Students are working in

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About Our Training

Best IT Training provider for
more than 115+ software courses at adyar location and overall we successfully trained more than 10000+ students and most of them got perfect benefits from our training methodology.

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Awards

Best training institute awarded from
Yet5.com for the year of 2014.

Become registered vendor for
HP, Cognizant, AVNET, Prodapt, Renualt Nisson and more companies for their corporate training.

Successfully placed more than
100+ students in last month through our clients.

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Contact Us

Contact us

Greens Technologys.
15, First Street, Padmanabha Nagar,
Adyar
Landmark :Near adyar signal and Behind adyar anadha bhavan
P : 044 4351 1623
M : +(91) 89399 15577 / 89399 25577
E : contact[at]traininginadyar.in
W : www.traininginadyar.in

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