Spark and Scala Online Training

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Spark and Scala Course Description

SUN Trainings is one of the best Apache Spark Scala Online Training Institute in Hyderabad india. Join our Apache Spark Scala Online Training Classes and Get trained By Real time experienced Industry professionals. Practical sessions will also be provided for hands on experience. We provide training courses ideal for students ,software and administration professionals. Our training sessions covers all information from basic to advanced level

Frequently Asked Questions

  • You will never miss a class at Suntrainings! You can choose either of the two options:
  • 1. You can go through the recorded session of the missed class and the class presentation that are available for online viewing through the LMS.
  • 2. You can attend the missed session, in any other live batch. Please note, access to the course material will be available for lifetime once you have enrolled into the course.
  • Sun Trainings is committed to provide you an awesome learning experience through world-class content and best-in-class instructors.
  • We will create an ecosystem through this training, that will enable you to convert opportunities into job offers by presenting your skills at the time of an interview. We can assist you in resume building and also share important interview questions once you are done with the training. However, please understand that we are not into job placements.
  • We have limited number of participants in a live session to maintain the Quality Standards. So, unfortunately participation in a live class without enrolment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in the class.
  • All instructors at Sun Trainings are senior industry practitioners with minimum 10 - 12 years of relevant IT experience. They are subject matter experts who trained by Sun Trainings to provide impeccable learning experience to all our global users.
  • You can Call us at +91 9642434362 OR Email us at We shall be glad to assist you.

Spark and Scala Course Curriculum

  • Getting started With Scala.
  • Scala Background, Scala Vs Java and Basics.
  • Interactive Scala – REPL, data types, variables,expressions, simple functions.
  • Running the program with Scala Compiler.
  • Explore the type lattice and use type inference
  • Define Methodsand Pattern Matching.
  • Scala Environment Set up.
  • Scala set up on Windows.
  • Scala set up on UNIX.
  • Functional Programming
  • Differences between OOPS and FPP.
  • Collections (Very Important for Spark)
  • Iterating, mapping, filtering and counting
  • Regular expressions and matching with them.
  • Maps, Sets, group By, Options, flatten, flat Map
  • Word count, IO operations,file access, flatMap
  • Object Oriented Programming.
  • Classes and Properties.
  • Objects, Packaging and Imports.
  • Traits.
  • Objects, classes, inheritance, Lists with multiple related types, apply
  • Integrations
  • What is SBT?
  • Integration of Scala in Eclipse IDE
  • Integration of SBT with Eclipse.
  • Batch versus real-time data processing
  • ->> Introduction to Spark, Spark versus Hadoop
    ->> Architecture of Spark.
    ->> Coding Spark jobs in Scala
    ->> Exploring the Spark shell
    ->> Creating Spark Context.
    ->> RDD Programming
    ->> Operations on RDD.
    ->> Transformations
    ->> Actions
    ->> Loading Data and Saving Data.
    ->> Key Value Pair RDD.
    ->> Broad cast variables.
    ->> Persistence.

    Configuring and running the Spark cluster.

    ->> Exploring to Multi Node Spark Cluster.
    ->> Cluster management
    ->> Submitting Spark jobs and running in the cluster mode.
    ->> Developing Spark applications in Eclipse
    ->> Tuning and Debugging Spark
  • ->> Learning Cassandra
    ->> Getting started with architecture
    ->> Installing Cassandra.
    ->> Communicating with Cassandra.
    ->> Creating a database.
    ->> Create a table
    ->> Inserting Data
    ->> Modelling Data.
    ->> Creating an Application with Web.
    ->> Updating and Deleting Data.
  • ->> Introduction to Spark and Cassandra Connectors.
    ->> Spark With Cassandra -> Set up.
    ->> Creating Spark Context to connect the Cassandra.
    ->> Creating Spark RDD on the Cassandra Data base.
    ->> Performing Transformation and Actions on the Cassandra RDD.
    ->> Running Spark Application in Eclipse to access the data in the Cassandra.
    ->> Introduction to Amazon Web Services.
    ->> Building 4 Node Spark Multi Node Cluster in Amazon Web Services.
    ->> Deploying in Production with Mesos and YARN.
  • ->> Introduction of Spark Streaming.
    ->> Architecture of Spark Streaming
    ->> Processing Distributed Log Files in Real Time
    ->> Discretized streams RDD.
    ->> Applying Transformations and Actions on Streaming Data
    ->> Integration with Flume and Kafka.
    ->> Integration with Cassandra
    ->> Monitoring streaming jobs.
  • ->> Introduction to Apache Spark SQL
    ->> The SQL context
    ->> Importing and saving data
    ->> Processing the Text files,JSON and Parquet Files
    ->> DataFrames
    ->> user-defined functions
    ->> Using Hive
    ->> Local Hive Metastore server
  • ->> Introduction to Machine Learning
    ->> Types of Machine Learning.
    ->> Introduction to Apache Spark MLLib Algorithms.
    ->> Machine Learning Data Types and working with MLLib.
    ->> Regression and Classification Algorithms.
    ->> Decision Trees in depth.
    ->> Classification with SVM, Naive Bayes
    ->> Clustering with K-Means
    ->> Building the Spark server

Trainer Information

  • Trainer has 15+ years of experience in IT industry.