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Spark & Scala

Review (1)

20,000.00

Spark has emerged as a very powerful tool for big data processing with combination to scala it is used for analysis very large datasets and bringing meaningful insights.

8 Sessions
24 Hours



Skills you will master

spark constituents
unified stack spark
common spark algorithms
scala
RDD
spark streaming
Broadcast and accumulator
Spark SQL
Scheduling
Log Analysis
Pattern Matching
Classes in scala
Traits
Scala collections
Use cases

UPCOMING BATCHES

Mob : +91-9810600764
Address : M8, Lower ground Floor, Sector 14 OLD DLF Gurgaon 122001
Email : info@palin.co.in

20,000.00

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About The Program

Spark has emerged as a very powerful tool for big data processing with combination to scala it is used for analysis very large datasets and bringing meaningful insights. This program helps you become a big data analytics professional and provides you a base for big data profiles in different MNCs like Google, Facebook, Amazon, Walmart, Airtel etc.

Career Advisor
Vinit Kumar, Consultant
Palin Delivers real world relevance with activities and assignments that helps students build critical thinking and analytic skills that will transfer to other courses and professional life.
Program Description
Spark has emerged as a very powerful tool for big data processing with combination to scala it is used for analysis very large datasets and bringing meaningful insights. This program helps you become a big data analytics professional and provides you a base for big data profiles in different MNCs like Google, Facebook, Amazon, Walmart, Airtel etc.
Curriculum
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   Session 1 - Introduction to Apache Spark

What is spark, Implement Spark operations on Spark Shell, Understand Spark and its Ecosystem, Spark Common operations, Advantages of Spark, How Spark fits in with the big data application stack, How Spark fits in with Hadoop, Define Apache Spark components

   Session 2 - Build A Simple Spark Application

Define the lifecycle of a Spark programme, Define the function of SparkContext: Lab: create the application, Define different ways to run a Spark application, Run your Spark application: Lab: launch the application

   Session 3 - Playing with RDD

Learn how to work in RDD in Spark, Understand the role of Spark RDD

   Session 4 - Sprak Streaming and Spark SQL

Understand Spark SQL architecture, Learn Spark Streaming API

   Session 5 - Create an Apache Spark Streaming Application

Spark streaming architecture, Create DStreams, Create a simple Spark Streaming application: Lab: Create a Spark Streaming application, DStream operations: Lab: Apply an operations on DStreams, Apply DStream operations, Use Spark SQL to query DStreams, Define window operations: Lab: Add windowing operations, Use Spark SQL to query DStreams, Define window operations: Lab: Add windowing operations, Describe how DStreams are fault-tolerant

   Session 6 - Introduction to Scala

Introduction : What is Scala? Scala in other Frameworks, Scale REPL, Basic Scala Operations, Functions and Procedures, Collections, Control Structures, OOPS and Functional Programming in Scala

   Session 7 - Scala Continued

Classes in Scala, Getters and Setters, Constructors and Singletons, Companion Objects, Inheritance in Scala, Traits and Layered Traits, Functional Programming in Scala

   Session 8 - PROJECT DISCUSSION

Industry Specific Project

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Program Highlights
Instructor-led
Instructor led training is the live and interactive training by industry professional
Live Case Study
Helps you work on industry specific data so as to get an hands on experience.
Assignments
Regular assignment leads to a proper revision of your skills.
Lifetime Access
Access to all the recording for the lifetime and avoid notes maintaining chios.
24 X 7 Support
Consultants are available online for proper guidance about the course.
Certification
After successful completion of the training and case study Palin will certify you as Palin certified Scala Developer
Career Counselor
Avail career guidance and Professional guidance for resume building, unlimited opportunities and interviews.
Certification Preview
Trainers

Highly motivated with leadership skills having Master’s Degree. Holds good working experience in different domains like Retail, Banking, Healthcare FMCG and Telecom on Big Data Tools like Hadoop, Spark Scala, Spark Python, Spark R, MLlib
FAQ's
   Who are the trainers?
All of our highly-qualified Big data professionals are certified, with more than 10 years of experience in training and working professionally in the same field. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation and live training demonstration before they are certified to train for us. We also ensure that only those trainers who maintain a high alumni rating continue to train for us.
   Who can go for Spark Scala Training?
Candidates having exposure to hadoop and java can go for this training so that it will be easy for them to understand the concepts and will help them relate real life scenarios. A technical background should be there in order to understand the tools.
   What project will I undertake as part of this training?
You will be given a case study once you complete the training where you will use industry specific data and analyse and process it on spark cluster under the supervision of the trainers and aluminis.
   Is this a classroom training or online?
Palin Analytics offers you both the platforms for the training you can opt either online or classroom.
   Which one is better classroom or online?
Both the training modes are good to get trained. But online training is more better than the classroom training because online trainings are live interactive where you can raise your concerns at any point during the session. Additionally recording of the same session will be provided which you can access anytime anywhere.
   What all topics will be covered in spark scala training?
spark constituents, unified stack spark, common spark algorithms, scala, RDD, spark streaming, Broadcast and accumulator, Spark SQL, Scheduling, Log Analysis, Pattern Matching, Classes in scala, Traits, Scala collections, Use cases, machine learning algorithms, oops concepts.
   After the course for which companies I can apply for?
Volume of data is increasing doubled in every two years. Most of the MNC's with larger database are working on Spark & Scala companies like Amazon, United Health Group., Mindlance, Dunnhumby, Essex Services, American Express, Adobe and many more are looking for Spark & Scala professionals.
   What are pay packages for fresher in Scala?
On an average a fresher gets 5-7 LPA with a skill set of Spark & Scala.
   What is the process for Spark & Scala Training?
We'll be starting with the introduction to Apache Spark and then will be playing with RDD and Spark Streaming & Spark SQL and end to end completion of Scala with SPark.
Reviews

Reviews

    Good Course and Excellent Trainers

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