OUR TRAINING COURSES

Spark and 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

    25
    Aug
    Weekends
    10:00 AM - 01:00 PM
    29
    Sep
    Weekends
    01:00 PM - 04:00 PM
    27
    Oct
    Weekends
    04:00 PM - 07:00 PM
    Mob : +91-9810600764
    Address : M8, Lower ground Floor, Sector 14 OLD DLF Gurgaon 122001
    Email : info@palin.co.in

    20,000.00

    Category:
    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
    Click Here to Preview

       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

    Read More
    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.
    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

    Your email address will not be published. Required fields are marked *



    Latest News

    Emerging Future of Data Scientists
    Data scientists will live one of the accomplished and encouraging careers prospective of all IT employment through 2020. Healthcare, Banking and Telecom industries are the...Read More
    Average Salary of A data scientist and related profiles
    The national average salary offered to data scientists and their related position is ₹ 6,50,000.Read More
    Benefits of Data Science using SAS & R
    Banking and Healthcare industry has been using SAS for years because SAS is licensed software which guarantees the accuracy of its results and its safer...Read More
    Python Overtakes R
    Python overtakes R, becomes the leader in Data Science, Machine Learning platforms. While in 2016 Python was in 2nd place ("Mainly Python" had 34% share...Read More
    What are benefits of python
    Simple and easy to learn and understand. Performance is very fast and attractive. Python works with all different data formats. We can directly import SQL...Read More
    Python Data Scientists Average Salary
    The average salary offered to data scientists in the past year was £47,000, with Python being the most desirable programming language, according to an analysis...Read More
    Python Vs Julia
    Python vs Julia Python is a general-purpose computing language that is easy to learn, and that has developed into a leading language for scientific computing....Read More
    Quick Enquiry
    close slider