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Cloudera - Certified Developer for Apache Hadoop (CCDH)

Duration

Duration:

Only 3 Days

Method

Method:

Classroom / Online / Hybrid

Next date

Next date:

28/9/2020 (Monday)

Overview

Get the skills you need to write, maintain, and optimise Apache Hadoop on this accelerated Cloudera Certified Developer for Apache Hadoop (CCDH) course. Learn how create robust data processing applications using Apache Hadoop.

This course is 33% faster than traditional training. You’ll be prepared for the real world challenges faced by Hadoop developers and study the following topics:

  • The internals of MapReduce, Hadoop Distributed File System (HDFS) and how to write MapReduce code
  • Best practices for Hadoop development, debugging, and implementation of workflows and common algorithms
  • How to leverage Hive, Pig, Sqoop, Flume, Oozie, and other Hadoop ecosystem projects
  • Creating custom components such as WritableComparables and InputFormats to manage complex data types Writing and executing joins to link data sets in MapReduce
  • Advanced Hadoop API topics required for real-world data analysis

Seven reasons why you should sit your course with Firebrand Training

  1. Two options of training. Choose between residential classroom-based, or online CCDH courses
  2. You'll be CCDH certified in just 3 days. With us, you’ll be CCDH trained in record time
  3. Our CCDH course is all-inclusive. A one-off fee covers all course materials, exams, accommodation and meals. No hidden extras
  4. Pass CCDH first time or train again for free. This is our guarantee. We’re confident you’ll pass your course first time. But if not, come back within a year and only pay for accommodation, exams and incidental costs
  5. You’ll learn more. A day with a traditional training provider generally runs from 9am – 5pm, with a nice long break for lunch. With Firebrand Training you’ll get at least 12 hours/day quality learning time, with your instructor
  6. You’ll learn CCDH faster. Chances are, you’ll have a different learning style to those around you. We combine visual, auditory and tactile styles to deliver the material in a way that ensures you will learn faster and more easily
  7. You’ll be studying CCDH with the best. We’ve been named in Training Industry’s “Top 20 IT Training Companies of the Year” every year since 2010. As well as winning many more awards, we’ve trained and certified 75,977 professionals, and we’re partners with all of the big names in the business

Benefits

Benefits of Training with Firebrand

  • Two options of training - Residential classroom-based, or online courses
  • A purpose-built training centre – get access to dedicated Pearson VUE Select facilities
  • Certification Guarantee – pass first time or train again free (just pay for accommodation, exams and incidental costs)
  • Everything you need to certify – you’ll sit your exam on the course and return home certified
  • No hidden extras – one cost covers everything you need to certify

Curriculum

The Motivation for Hadoop

  • Problems with traditional large-scale systems
  • Introducing Hadoop
  • Hadoopable problems

Hadoop: Basic Concepts and HDFS

  • The Hadoop project and Hadoop components
  • The Hadoop Distributed File System

Introduction to MapReduce

  • MapReduce overview
  • Example: WordCount
  • Mappers
  • Reducers

Hadoop Clusters and the Hadoop Ecosystem

  • Hadoop cluster overview
  • Hadoop jobs and tasks
  • Other Hadoop ecosystem components

Writing a MapReduce Program in Java

  • Basic MapReduce API Concepts
  • Writing MapReduce Drivers, Mappers, and Reducers in Java
  • Speeding up Hadoop development by using eclipse
  • Differences between the old and new MapReduce APIs

Writing a MapReduce Program Using Streaming

  • Writing Mappers and Reducers with the streaming API

Unit Testing MapReduce Programs

  • Unit testing
  • The JUnit and MRUnit testing frameworks
  • Writing unit tests with MRUnit
  • Running unit tests

Delving Deeper into the Hadoop API

  • Using the ToolRunner class
  • Setting up and tearing down Mappers and Reducers
  • Decreasing the amount of intermediate data with combiners
  • Accessing HDFS programmatically
  • Using the distributed cache
  • Using the Hadoop API’s Library of Mappers, Reducers, and Partitioners

Practical Development Tips and Techniques

  • Strategies for debugging MapReduce code
  • Testing MapReduce code locally by using LocalJobRunner
  • Writing and viewing log files
  • Retrieving job information with counters
  • Reusing objects
  • Creating map-only MapReduce jobs

Partitioners and Reducers

  • How partitioners and Reducers work together
  • Determining the optimal number of Reducers for a job
  • Writing customer partitioners

Data Input and Output

  • Creating custom writable and WritableComparable implementations
  • Saving binary data using sequenceFile and Avro data files
  • Issues to consider when using file compression
  • Implementing custom InputFormats and OutputFormats

Common MapReduce Algorithms

  • Sorting and searching large data sets
  • Indexing data
  • Computing term frequency — Inverse Document Frequency
  • Calculating word co-occurrence
  • Performing Secondary Sort

Joining Data Sets in MapReduce Jobs

  • Writing a Map-Side Join
  • Writing a Reduce-Side Join

Integrating Hadoop into the Enterprise Workflow

  • Integrating Hadoop into an existing enterprise
  • Loading data from an RDBMS into HDFS by using Sqoop
  • Managing real-time data using Flume
  • Accessing HDFS from legacy systems with FuseDFS and HttpFS

An Introduction to Hive, Imapala, and Pig

  • The motivation for Hive, Impala, and Pig
  • Hive overview
  • Impala overview
  • Pig overview
  • Choosing Between Hive, Impala, and Pig

An Introduction to Oozie

  • Introduction to Oozie
  • Creating Oozie workflows

Exam Track

As part of this accelerated course, you'll receive the following exam voucher:

  • Cloudera Certified Developer for Apache Hadoop (CCD-410)

The exam consists of 55 questions and must be completed within 90 minutes. You must have a passing score of at least 70% to get your certification.

This course will cover content and practical tests to cover preparation to the exam. Firebrand cannot deliver the exam at our centre. Delegates will be provided with an exam voucher to take the exam.

What's included

Included:

  • Official Cloudera courseware

Your accelerated course includes:

  • Accommodation *
  • Meals, unlimited snacks, beverages, tea and coffee *
  • On-site exams **
  • Exam vouchers **
  • Practice tests **
  • Certification Guarantee ***
  • Courseware
  • Up-to 12 hours of instructor-led training each day
  • 24-hour lab access
  • Digital courseware **
  • * For residential training only. Doesn't apply for online courses
  • ** Some exceptions apply. Please refer to the Exam Track or speak with our experts
  • *** Pass first time or train again free (just pay for accommodation, exams and incidental costs)

Prerequisites

This course is best suited to developers and engineers with programming experience. Knowledge of Java is strongly recommended and is required to complete the hands-on exercises. Prior knowledge of Apache Hadoop is not required.

Unsure whether you meet the prerequisites? Don’t worry. Your training consultant will discuss your background with you to understand if this course is right for you.

Reviews

Here's the Firebrand Training review section. Since 2001 we've trained exactly 75,977 students and asked them all to review our Accelerated Learning. Currently, 96.74% have said Firebrand exceeded their expectations.

Read reviews from recent accelerated courses below or visit Firebrand Stories for written and video interviews from our alumni.


"Course was very good, I liked the analogies given to explain complex networking areas it really helped. The instructor was very good at bringing information to a level everyone could understand and then further on that. "
Ewan jamieson, Mr. (17/2/2020 (Monday) to 22/2/2020 (Saturday))

"Knowledgeable, well spoken and relatable instructor. The instructor explained difficult concepts clearly and provided good examples to help us understand the material. He also discussed real-world examples to help solidify how the concepts are applied in the field. There were a few technical issues with the remote learning and remote labs, but overall a great experience, especially so when considering the current situation with COVID-19."
JE, Mitchells & Butlers. (4/5/2020 (Monday) to 7/5/2020 (Thursday))

"I would highly recommend taking up a course with Firebrand because the way the course is delivered is very helpful and useful for someone who either has no knowledge or some knowledge. The instructors do everything they can to ensure everyone is learning and is always on hand to help anyone who is struggling with anything. Everyone on the course is also very helpful and in the same position as they want to learn to. So there is not just the instructor but the class as a whole to assist. The facility is very nice and I will definitely be coming back for any future courses I attend. "
CP, Innovate Ltd. (4/5/2020 (Monday) to 7/5/2020 (Thursday))

"Firebrand have very passionate instructors."
Anonymous (4/5/2020 (Monday) to 7/5/2020 (Thursday))

"Extremely useful course, detailed understanding and trainer had good grasp on the information and was able to explain it in different ways to help our understanding and help us to relate this to our own working environment."
SA, Lloyds Banking Group. (4/5/2020 (Monday) to 6/5/2020 (Wednesday))

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