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Event Details

About

Apache Spark (Classroom and online) Training are open for registration in

 

March  2017 

Classes will be held at Delhi (NCR) in March 2017 

 

"In-order to attend this workshop , Please complete the below Apache Spark  Training registration process."

Please visit our website & register

http://netscientium.com/in/course/apache-spark/ 

Standard Price:  Rs. 23999/- + ST 

Hurry up as seats are limited for the special offer.

We have exciting early bird offers and buddy offers if registered before February 26th  2017

To avail Special buddy offers and Discounts please mail us to netscientium@gmail.com  

          Subject to availability of seats. Terms & Conditions
     Hurry Register Now, Limited seats!  

Class Room time: 09:00 am to 05:00 pm

Venue Details will be shared once you register this training at  http://netscientium.com/in/course/apache-spark/ 

 

Question &Clarifications please contact: 

Smitha- +91-9008587999 

Email  us - Netscientium@gmail.com                                  

WHO CAN ENROLL

Software developers with experience in Scala, Python, SQL coding Individuals familiar with Data Science topics.

KEY FEATURES
-Interactive classes
-Our trainers have over 12–15 years of relevant industry experience.
-Access to our cloud server for testing.
-Hands-on training on how to approach a Spark project.
-Weekend mentoring discussions with our technical experts.
-Quality assurance: if you are not satisfied, you can attend our next session with a different trainer for free!!
-Step-by-step approach to prepare you for the Big Data certification.
-Life-time access to the learning management systems (LMS).
-Technical support (via email) for assignments, queries.
-Batch rescheduling flexibility! Incase you miss a class… fret not! You can join the next batch.

COURSE CURRICULUM

Day 1

-Why Spark: Introduction.
-Spark Basics (installation, operations).
-Problem with traditional large-scale systems.
-Spark Shell.
-RDDs/HDFS data locality.
-Functional Programming with Spark.
-Spark and the Hadoop Ecosystem.
-Spark and MapReduce.
-Running Spark on cluster.

Day 2

-Standalone cluster.
-Parallel Programming with Spark.
-RDD Partitions and working with partitions.
-Executing parallel operations.
-Caching and Persistence.
-Developing Spark Applications.
-SparkContext and configuring Spark properties.
-Building and running a Spark application
-Spark-Streaming and developing its applications
-Improving Spark performance
-Shared Variables: Broadcast Variables, Accumulators.

WHY SHOULD YOU ENROLL

Spark is a new, niche and engaging concept that is fast catching up. Due to its high performance/dependable applications, several businesses large and small are already adopting this concept across a wide range of industries.
Currently, there are only a handful of professionals who have in depth understanding of Spark. The demand for developers with certified expertise is growing and there is no better academy than Netscientium to aid you in sprucing up your skill. We offer a two-day course that provides you end-to-end knowledge of Spark and its operations.
Be niche. Become a certified Spark developer.

Our Team & Faculty: 

We are a group of Big Data & J2EE Architects / Developers with demonstrated success in building and managing enterprise applications. The team has many years of experience in building and managing world class enterprise applications. Our faculty are directly from IT Industry with 12 to 15 year experience and will give real industry project to you.

Subject to availability of seats. Terms & Conditions

Hurry Register Now, Limited seats !-
To avail Special buddy offers and Discounts please mail us to netscientium@gmail.com                         

Please feel free to contact me in-case you have any queries 


Contact

Smitha M
Manager,Sales
Netscitus India Pvt Ltd
#104, 2nd Floor, Regus, Prestige Omega
EPIP Zone
Bangalore
Karnataka - 560066
India
Phone : +91 9008587999
preetigoyal@bigdatabootcamp.in

netscientium.com/in/course/apache-spark/

Schedule

March 01, 2017 — 9:00 am to
March 02, 2017 — 5:00 pm

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Venue

Delhi