CCP Data Engineer | Firebrand Training

Overview

Learn how to build big data applications to solve real-world problems using Apache Hadoop and associated tools, in just 3-days.

On this accelerated CCP Data Engineer course, you’ll get the knowledge to build and design solutions that can ingest data, determine the appropriate file format for storage, process stored data, and present the results to the end-user.

You’ll be immersed in your accelerated course with Firebrand’s Lecture | Lab | Review methodology. Get CCP Data Engineer certified - in just 3 days - and join an elite group of data engineers. You’ll also learn how to:

Convert data between file formats
Purge bad data
Filter, sort, join, aggregate and transform complex data sets
Create linear and branching workflows that include Hadoop/Hive/Pig jobs

You’ll follow the curriculum for Cloudera’s Designing and Building Big Data Applications course. This includes additional Firebrand material to prepare you for the CCP Data Engineer exam (DE575), which you’ll take as part of your accelerated course. This exam is covered by your Certification Guarantee.

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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

Think you are ready for the course? Take a FREE practice test to assess your knowledge!

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Curriculum

Introduction

Application architecture

Scenario explanation
Understanding development

Environment

Identifying and collecting input data
Selecting tools for data processing and analysis
Presenting results to the user

Defining and using data sets

Metadata management
What is Apache Avro?
Avro schemas
Avro schema evolution
Selecting a file format
Performance considerations

Using the Kite SDK data module

What is the Kite SDK?
Fundamental data module concepts
Creating new data sets using the Kite SDK
Loading, accessing and deleting a data set

Importing relational data with Apache Sqoop

What is Apache Sqoop?
Basic imports
Limiting results
Improving Sqoop’s performance
Sqoop 2

Capturing data with Apache Flume

What is Apache Flume?
Basic Flume architecture
Flume sources
Flume sinks
Flume configuration
Logging application events to Hadoop

Developing custom Flume components

Flume data flow and common extension points
Custom Flume sources
Developing a flume pollable source
Developing a Flume event-driven source
Custom Flume interceptors
Developing a header-modifying Flume interceptor
Developing a filtering flume interceptor
Writing Avro objects with a custom Flume interceptor

Managing workflows with Apache Oozie

The need for workflow management
What is Apache Oozie?
Defining an Oozie workflow
Validation, packaging and deployment
Running and tracking workflows using the CLI
Hue UI for Oozie

Processing data pipelines with Apache Crunch

What is Apache Crunch?
Understanding the runch Pipeline
Comparing Crunch to Java MapReduce
Working with Crunch Projects
Reading and writing Data in Crunch
Data collection API
Functions
Utility classes in the Crunch API

Working with tables in Apache Hive

What is Apache Hive?
Accessing Hive
Basic query syntax
Creating and populating Hive Tables
How Hive reads data
Using the RegexSerDe in Hive

Developing user-defined functions

What are user-defined functions?
Implementing a user-defined function
Deploying custom libraries in hive
Registering a user-defined function in Hive

Executing interactive queries with Impala

What is Impala?
Comparing Hive to Impala
Running queries in Impala
Support for user-defined functions
Data and metadata management

Understanding Cloudera Search

What is Cloudera Search?
Search architecture
Supported document formats

Indexing data with Cloudera Search

Collection and schema management
Morphlines
Indexing data in batch mode
Indexing data in near real time

Presenting results to users

Solr query syntax
Building a search UI with Hue
Accessing Impala through JDBC
Powering a custom web application with Impala and Search

Exam Track

You'll sit the following exam at the Firebrand Training Centre, covered by your Certification Guarantee:

CCP Data Engineer Exam (DE575)

You will be provided with five to eight customer problems, each with a large, unique data set and a CDH cluster. You will then have four hours in which to implement a technical solution to each problem that meets all functional requirements.

Additional information:

This is a hands-on practical exam using Cloudera technologies
You’ll get your own pre-loaded CDH cluster that includes:

Spark
Impala
Crunch
Hive
Pig
Sqoop
Kafka
Flume
Kite
Hue
Oozie
DataFu

Your CCP certification is valid for three years

What's Included

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. Accommodation is included from the night before the course starts. This 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 as many times as it takes, unlimited for 1 year. Just pay for accommodation, exams, and incidental costs.

Prerequisites

You should possess in-depth experience developing data engineer solutions and a high-level working knowledge of data analysis.

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 134561 students and asked them all to review our Accelerated Learning. Currently, 96.41% 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.

"Training was very good, explanation was very clear and teacher detailed a lot, so for a 3 day course and to have a first understanding of POWER BI is good."
Rosanna Seerattan Cruz, JTI. (19/3/2024 (Tuesday) to 21/3/2024 (Thursday))

"The instructor and the structure of the course were very clear."
EK, JTI. (19/3/2024 (Tuesday) to 21/3/2024 (Thursday))

"CEH is a very hard training, but it's doable thanks to the friendly employees at Firebrand and the accommodations."
Kas Ramjiawan, ITQM. (4/3/2024 (Monday) to 8/3/2024 (Friday))

"Heavy stuff! Long days and almost no time for some leisure or preparing for exam... I thought there was more hands-on training involved."
MR. (4/3/2024 (Monday) to 8/3/2024 (Friday))

"The course was well structured and concise with a knowledgeable and personable instructor. I will recommend Firebrand courses to all colleagues"
LT. (6/3/2024 (Wednesday) to 8/3/2024 (Friday))

Course Dates

Start	Finish	Status	Location
19/2/2024 (Monday)	21/2/2024 (Wednesday)	Finished - Leave feedback	-
24/6/2024 (Monday)	26/6/2024 (Wednesday)	Wait list	Nationwide
5/8/2024 (Monday)	7/8/2024 (Wednesday)	Limited availability	Nationwide
16/9/2024 (Monday)	18/9/2024 (Wednesday)	Open	Nationwide
28/10/2024 (Monday)	30/10/2024 (Wednesday)	Open	Nationwide
9/12/2024 (Monday)	11/12/2024 (Wednesday)	Open	Nationwide

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Cloudera - CCP Data Engineer