Hadoop Spark and Scala Online Training

About Hadoop Spark and Scala

iSOFT Trainings is one of the top Hadoop training institute and the best Hadoop online training institutes in Hyderabad and Bangalore. We are a well-known Hadoop training provider in India.

We provide tailor-made training courses; with this we ensure that the course material exactly matches the needs of the students and the learning objectives are achieved.

Our training courses are divided into 3 parts. These are

  1. Hadoop Development Training
  2. Spark Training
  3. Scala Training

At iSOFT Trainings, we provide the best Hadoop Online training and placement in Hyderabad, Bangalore, USA, and Canada. We provide Hadoop tutorials for beginners, Hadoop Training Videos , interview question & answers for both experienced and freshers.

Want to make Agile development a business driver? Organize your organization for fast and continuous deliveries from IT Classes? Do you want to bridge the gap between incremental and iterative development, IT service management and business needs? IT Classes offers you a proven standard in the form of processes, tools, and methods for a short time to market while maintaining quality. Based on principles such as quality assurance, automated testing, and continuous integration, you will learn to convert the changing power of developers into a continuous delivery of stable solutions. You will gain insight into the relationship between Hadoop and Agile, Lean and IT service management. With our Spark training and Scala training, you can shape your career as per your imagination. The IT Classes’ Hadoop Training approach distinguishes itself by teaching you to look beyond the method to the required transformation in culture and infrastructure.

Why this Hadoop Spark and Scala Online Training?

Our Hadoop Spark and Scala training aim to provide you with the necessary knowledge and to expand your knowledge. You will gain understandingof the principles as well as the working methods of Hadoop, Spark, and Scala. Above all, the training has been developed to encourage you to play a role as an inspirer for change. You learn to motivate and guide others by sharing your knowledge and experience and by applying what you have learned and will learn about Hadoop Spark and Scala.

Who is this training for?

These training are suitable for anyone who wants to gain knowledge and experience in the Hadoop method and understand the added value of Spark and Scala. For example, you fulfill the role of software developer, consultant, manager IT operations, service manager or perhaps CIO or marketer.

Result of the training

  • You have insight into the reasons for the business and IT to implement Hadoop, Spark, and Scala.
  • You know the values ​​and principles of Hadoop, Spark, and Scala.
  • You know the characteristics of a Hadoop, Spark, and Scala culture.
  • You have insight into the organizational aspects, such as roles, teams, and organizational structures.
  • You know the most important Hadoop, Spark, and Scala working methods.
  • You know what it takes to introduce a Hadoop, Spark, and Scala culture.
  • Hadoop Development Training Duration: 45 Hours
  • Spark and Scala Training Duration: 45 Hours

Hadoop Development Course Content

  • Hadoop Architecture and Eco System
  • Understanding of Distribution system & parallel computing.
  • HDFS daemons : Name node, Secondary Name node, and Data node
  • YARN Architecture
  • Block Replacement, Data Integrity, Re-balancer
  • HDFS user/admin commands.
  • Anatomy of a Hadoop Cluster
  • Install and configure Apache Hadoop
  • Make a Pseudo distributed Hadoop cluster on a single laptop/desktop
  • Monitoring the cluster using UI
  • MapReduce framework and architecture
  • Hadoop Data Types
  • Developing MapReduce Programs in
    • Local Mode
    • Pseudo-distributed Mode
    • Fully distributed mode
  • Writing MapReduce Programs
  • Examining MapReduce Programming
    • ToolRunner
    • Basic API Concepts (Driver code, Mapper, Reducer)
  • The configure and close Methods
  • Input and Output Formatters
    • Text Format
    • KeyValue Format
    • Nline Format
    • SequenceFile Format
    • Composite and Combine File Formats
  • Partitioners
  • Reducing network traffic with combiner
  • Reducing the amount of input data
  • Running with speculative execution
  • A Recap of the MapReduce Flow
  • Custom Writable and Writable Comparable
  • Map-Side Joins
  • Reduce-Side Joins
  • Using The Distributed Cache
  • Architecture of Hive
  • Hive Services, Clients, Meta-store
  • Hive Data Model and File Formats
  • Hive Query Language
  • DDL in Hive
  • Joins, Unions, Indexing, Views
  • Statistics & Archiving with Hive
  • Hive Partitions, Buckets
  • Hive UDF
  • Hive Ser De properties
  • Hive Optimizations and best practices
  • Hands-on Exercise
  • Introduction, Pig Vs Hive,
  • Pig Vs MapReduce and SQL
  • Pig’s Data Model
  • Pig Architecture ◦ Pig Latin, Transformations
  • Installing and Running Pig in Local & Distributed modes
  • Advanced Pig concepts, Debugging
  • Hands-on Exercise
  • Hbase Overview & Architecture
  • Hbase Installation
  • Usage Scenerio of Hbase, CRUD
  • HBase DataModel
    • Table and Row
    • Column Family & Column Qualifier
    • Cell and its Versioning
    • Regions and Region Server
  • Hbase operations (Get/Scan, Put, Delete.)
  • Hbase Admin – Create database, Develop and run sample applications
  • Hbase Clients
    • Thrift
    • Java API
    • REST
  • Hive Integration with Hbase
  • Overview on Sqoop import/export
  • Install and configure Sqoop on cluster
  • MySQL Installation and connection
  • Sqoop commands
  • Various Options to Import Data
    • Table Imports
    • Filtering Imports
  • Hive Imports
  • Introduction and Architecture
  • Install and configure Flume
  • Flume Components
  • Flume Events
  • Hands-on Exercise
  • Gathering Twitter data using Flume

Scala Course Content

  • Introduction to Scala
  • Scala Installation
  • Scala Internals
  • The Scala REPL
  • Keywords
  • Operator
  • Conditions
  • Looping
  • Pattern matching
  • Access Specifiers
  • Breakable Statement
  • Typecasting
  • Varargs
  • Interpolator
  • Classes
  • Immutable and Mutable Fields
  • Methods
  • Default and Named Arguments
  • Objects
  • Abstract Class
  • Traits
  • Constructor
  • Implicit classes
  • Companion Objects
  • Case Classes and Case Objects
  • Apply and Unapply
  • Synthetic Methods
  • Immutability and Thread Safety
  • Functions
  • Higher Oder Functions
  • First Class Functions
  • Curry Functions
  • Anonymous Functions
  • Closure
  • Collections overview
  • Sequences and Sets
  • Options
  • Tuples
  • Maps
  • Generics

Spark Course Content

  • What is Spark and what is its purpose?
  • Map Reduce Vs Spark
  • Components of the Spark unified stack
  • Downloading and installing Spark standalone
  • Spark Installation
  • Scala and Python overview
  • Launching and using Spark’s Scala and Python shell(RPEL)
  • Spark Architecture
  • Resilient Distributed Dataset (RDD)
  • Basic Transformations
  • Basic Actions
  • Two RDD’s Transformation
  • Key Based Transformation
  • Join
  • Shared Variable
  • broadcast
  • accumulator
  • Persist or Cache RDD
  • Partitioner
  • Custom Partitioner
  • Spark SQL architecture
  • Performing ad-hoc query analysis using Spark SQL
  • Connect different data sources (CSV, JSON, JDBC etc)
  • Data Frame API
  • Data Set API
  • Join Data Frames
  • Column level functions
  • User defined functions (UDF)
  • Write Data Frame /Data Source to different data sources.
  • Spark Streaming architecture.
  • DStream API
  • Socket Text Stream
  • Kafka Stream
  • Stateless Transformation
  • Stateful Transformation
  • Apache Flume
  • Apache Kafka
  • Twitter API
  • Submit a spark job on standalone mode.
  • Submit a spark job on YARN mode
  • Understand components of the Spark cluster
  • Configure Spark to modify the Spark properties, environmental variables, or logging properties
  • Monitor Spark using the web UIs and metrics Understand performance tuning con

List of Courses

About this course:

Method

Led Training

Type

Online

Schedules

Flexible Schedules

Call / Whatsapp

+91 8125885859

Email

sales@isofttrainings.com

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