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Course Details

  • Course Overview
  • Who can Benefit?
  • Prerequisites
  • Syllabus

This four-day hands-on training course delivers the key concepts and expertise participants need to ingest and process data on a Hadoop cluster using the most up-to-date tools and techniques. Employing Hadoop ecosystem projects such as Spark (including Spark Streaming and Spark SQL), Flume, Kafka, and Sqoop, this training course is the best preparation for the real-world challenges faced by Hadoop developers.

This course is designed for developers and engineers who have programming experience. Apache Spark examples and hands-on exercises are presented in Scala and Python, so the ability to program in one of those languages is required. Basic familiarity with the Linux command line is assumed. Basic knowledge of SQL is helpful; prior knowledge of Hadoop is not required.

Basic familiarity with the Linux command line is assumed. Basic knowledge of SQL is helpful; prior knowledge of Hadoop is not required.

Introduction

Introduction to Apache Hadoop and the Hadoop Ecosystem

• Apache Hadoop Overview

• Data Storage and Ingest

• Data Processing

• Data Analysis and Exploration

• Other Ecosystem Tools

• Introduction to the Hands-On Exercises

Apache Hadoop File Storage

• Problems with Traditional

Large-Scale Systems

• HDFS Architecture

• Using HDFS

• Apache Hadoop File Formats

Data Processing on an Apache Hadoop Cluster

• YARN Architecture

• Working With YARN

Importing Relational Data with Apache Sqoop

• Apache Sqoop Overview

• Importing Data

• Importing File Options

• Exporting Data

Apache Spark Basics

• What is Apache Spark?

• Using the Spark Shell

• RDDs (Resilient Distributed Datasets)

• Functional Programming in Spark

Working with RDDs

• Creating RDDs

• Other General RDD Operations

Aggregating Data with Pair RDDs

• Key-Value Pair RDDs

• Map-Reduce

• Other Pair RDD Operations

Writing and Running Apache Spark Applications

• Spark Applications vs. Spark Shell

• Creating the SparkContext

• Building a Spark Application

(Scala and Java)

• Running a Spark Application

• The Spark Application Web UI

Configuring Apache Spark Applications

• Configuring Spark Properties

• Logging

Parallel Processing in Apache Spark

• Review: Apache Spark on a Cluster

• RDD Partitions

• Partitioning of File-Based RDDs

• HDFS and Data Locality

• Executing Parallel Operations

• Stages and Tasks

RDD Persistence

• RDD Lineage

• RDD Persistence Overview

• Distributed Persistence

Common Patterns in Apache Spark Data Processing

• Common Apache Spark Use Cases

• Iterative Algorithms in Apache Spark

• Machine Learning

• Example: k-means

DataFrames and Spark SQL

• Apache Spark SQL and the SQL Context

• Creating DataFrames

• Transforming and Querying DataFrames

• Saving DataFrames

• DataFrames and RDDs

• Comparing Apache Spark SQL, Impala, and Hive-on-Spark

• Apache Spark SQL in Spark 2.x

Message Processing with Apache Kafka

• What is Apache Kafka?

• Apache Kafka Overview

• Scaling Apache Kafka

• Apache Kafka Cluster Architecture

• Apache Kafka Command Line Tools

Capturing Data with Apache Flume

• What is Apache Flume?

• Basic Flume Architecture

• Flume Sources

• Flume Sinks

• Flume Channels

• Flume Configuration

Integrating Apache Flume and Apache Kafka

• Overview

• Use Cases

• Configuration

Apache Spark Streaming: Introduction to DStreams

• Apache Spark Streaming Overview

• Example: Streaming Request Count

• DStreams

• Developing Streaming Applications

Apache Spark Streaming: Processing Multiple Batches

• Multi-Batch Operations

• Time Slicing

• State Operations

• Sliding Window Operations

Apache Spark Streaming: Data Sources

• Streaming Data Source Overview

• Apache Flume and Apache Kafka Data Sources

• Example: Using a Kafka Direct Data Source

Conclusion

Audience

  • Developer
  • Engineer

Public Program Schedule

Course Name Duration Brochure Location Schedule Enroll
There is no upcoming Public Batch Schedule, you can ask for Private Batch or for On-Demand Learning

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FAQ

  • Why should I choose RPS?
  • I am working, is it possible to arrange the classes on weekends?
  • Please confirm if your office is open on weekends?
  • Can I get the courseware in advance before start of training?
  • What are the timings (class hours)?
  • How can I make the payment?
  • What is the mode of payment?
  • Candidate authorized RPS to charge $200. But the bank has charged $208. Why is this?
  • If we need training on one of the modules only how does that work?
  • How long before do we need to book the exams?
  • Where are your training centers available?
  • Can I pay the fee in installments?
  • What are the refund policies? Can i get my money back in case i am unable to attend the training?
  • Do you provide a bank loan facility?
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  • Certified instructors with industry standard experience
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Yes, we do offer weekend classes for professionals in group or 1-to-1 Training depending upon the technology.

The administrative and sales staff works on weekdays (Monday - Friday). System Admins and Operation team are available on all days.

Yes, after you have paid the booking amount (which will be non–refundable in this case). Booking amount depends on the technology selected.

Training timings are from 9 am to 5 pm.

You can send the deposit by any of the following methods:-

  • PayPal
  • Credit Card
  • Bank Transfer
  • Demand Draft
  • Cash
  • Purchase Order (in case of Corporates / Government).
  • If you are an International student, the registration amount of USD 200 can be paid by Bank Transfer or PayPal/PayUMoney . The balance amount has to be paid by traveler's cheque or cash after arrival in India. You can also pay the balance by PayPal. There is a surcharge of 4% in this case.
  • For Indian Resident students, the course fees including registration can be paid by Cash, Cheque, Demand Draft or Bank transfer.To Know more Please call +919883305050 or Email us at info@rpsconsulting.in for any of your queries.

Overseas credit card payments through PayPal involve a mark-up of up to 4% as surcharge.

We can provide customized 1-to-1 training for a technology as per your requirement.

Most exams can be booked once you are on the course (e.g. Microsoft, ITIL, VEEAM, EC-Council). Red Hat and some other exams have to be booked in advance.

Our training centers are available in Bangalore, Chennai, Hyderabad, Pune and Delhi.

We do not have facility to pay in installments

If the course fee has been paid for and RPS cancels the Course, a refund will be provided, else the courses are non-refundable.

We do not provide loan facility.

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