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+442032862989Cloudera - Certified Developer for Apache Hadoop (CCDH)
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 CCDH course with Firebrand Training
- You'll be CCDH certified in just 3 days. With us, you’ll be CCDH trained in record time
- Our CCDH course is all-inclusive. A one-off fee covers all course materials, exams, accommodation and meals. No hidden extras
- 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
- You’ll learn more CCDH. 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
- 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
- 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 134,561 professionals, and we’re partners with all of the big names in the business
- You'll do more than study CCDH courseware. We use practical exercises to make sure you can apply your new knowledge to the work environment. Our instructors use demonstrations and real-world experience to keep the day interesting and engaging
Benefits
Other accelerated training providers rely heavily on lecture and independent self-testing and study.
Effective technical instruction must be highly varied and interactive to keep attention levels high, promote camaraderie and teamwork between the students and instructor, and solidify knowledge through hands-on learning.
Firebrand Training provides instruction to meet every learning need:
- Intensive group instruction
- One-on-one instruction attention
- Hands-on labs
- Lab partner and group exercises
- Question and answer drills
- Independent study
This information has been provided as a helpful tool for candidates considering training. Courses that include certification come with a certification guarantee. Pass first time or train again for free (just pay for accommodation and exams on your return). We do not make any guarantees about personal successes or benefits of obtaining certification. Benefits of certification determined through studies do not guarantee any particular personal successes.
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
Firebrand Training offers top-quality technical education and certification training in an all-inclusive course package specifically designed for the needs and ease of our students. We attend to every detail so our students can focus solely on their studies and certification goals.
Our Certification Programs includes
- Intensive Hands-on Training Utilising our (Lecture | Lab | Review)TM Delivery
- Comprehensive Study Materials, Program Courseware and Self-Testing Software including MeasureUp *
- Fully instructor-led program with 24 hour lab access
- Examination vouchers **
- Near site testing, Transportation to/from Testing Center are provided ***
- Accommodation, all meals, unlimited beverages, snacks and tea / coffee****
- Examination Passing Policy
Please note
- * Not on all courses
- ** Examination vouchers are not included for the following courses: PMP, CAPM and CISSP CBK Review
- *** Not included in our PMP, CAPM, CISA, CISM, CGEIT, CRISC, (ISC)2 or ITIL Managers and Revision Certifications
- **** Accommodation not included on the CISSP CBK Review Seminar
Our instructors teach to accommodate every student's learning needs through individualised instruction, hands-on labs, lab partner and group exercises, independent study, self-testing, and question/answer drills.
Firebrand Training has dedicated, well-equipped educational facilities where you will attend instruction and labs and have access to comfortable study and lounging rooms. Our students consistently say our facilities are second-to-none.
Examination Passing Policy
Should a student complete a Firebrand Training Program without having successfully passed all vendor examinations, the student may re-attend that program for a period of one year. Students will only be responsible for accommodations and vendor exam fees.
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 134,561 students and asked them all to review our Accelerated Learning. Currently, 96.46% 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 and material very good for remote learning, Plenty of labs and info to get you through the course. Instructor was very thorough and assisted with any issues."
James Bridges. (11/9/2023 (Monday) to 14/9/2023 (Thursday))
"The training with Firebrand is always a good experience. The hotel was very nice and accommodating and the teacher was very informative on the course"
Anonymous. (11/9/2023 (Monday) to 14/9/2023 (Thursday))
"Thank you for getting me through."
Evelyne Spanner, ERBD. (11/9/2023 (Monday) to 12/9/2023 (Tuesday))
"Our instructor was friendly, helpful, and demonstrated good knowledge of the subjects"
OA. (11/9/2023 (Monday) to 14/9/2023 (Thursday))
"Training was precise and swift!"
Anonymous, NHS Tayside. (11/9/2023 (Monday) to 14/9/2023 (Thursday))
Course Dates
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21/8/2023 (Monday) |
23/8/2023 (Wednesday) |
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5/2/2024 (Monday) |
7/2/2024 (Wednesday) |
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18/3/2024 (Monday) |
20/3/2024 (Wednesday) |
Open |
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29/4/2024 (Monday) |
1/5/2024 (Wednesday) |
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10/6/2024 (Monday) |
12/6/2024 (Wednesday) |
Open |
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