Cloudera CCA Spark and Hadoop Developer Certification | 3-day course

Overview

Learn how to import data into an Apache Hadoop cluster and process it using modern data analysis tools like Spark, Flume, Hive, Impala, Sqoop and more – in just 3 days.

On this accelerated CCA Spark and Hadoop Developer course, you’ll identify which data analysis tools to use in a given situation and gain hands-on development experience using those tools.

Experience Firebrand’s Lecture | Lab | Review methodology as you prepare for the real world challenges faced by Hadoop developers. You’ll learn:

How data is distributed, stored, and processed in a Hadoop cluster
Data distribution in Apache Spark
How to use Sqoop and Flume to ingest and model data as tables

You’ll also learn how to choose the best data storage format and study best practices for data storage.

Plus, you’ll sit the CCA Spark and Hadoop Developer exam (CCA175) during your accelerated course. This exam is covered by your Certification Guarantee.

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Benefits

Seven reasons why you should sit your course with Firebrand Training

Two options of training. Choose between residential classroom-based, or online courses
You'll be certified fast. With us, you’ll be trained in record time
Our course is all-inclusive. A one-off fee covers all course materials, exams**, accommodation* and meals*. No hidden extras.
Pass the first time or train again for free. This is our guarantee. We’re confident you’ll pass your course the first time. But if not, come back within a year and only pay for accommodation, exams and incidental costs
You’ll learn more. A day with a traditional training provider generally runs from 9 am – 5 pm, with a nice long break for lunch. With Firebrand Training you’ll get at least 12 hours/day of quality learning time, with your instructor
You’ll learn 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 with the best. We’ve been named in the 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 over 135,000 professionals

* For residential training only. Doesn't apply for online courses
** Some exceptions apply. Please refer to the Exam Track or speak with our experts

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

Free Practice Test

Curriculum

Introduction

Introduction to Hadoop and the Hadoop Ecosystem
Problems with traditional large scale systems
Hadoop!
Data storage and ingest
Data processing
Data analysis and exploration
Other ecosystem tools
Introduction to the hands-on exercises

Hadoop architecture and HDFS

Distributed processing on a cluster
Storage:

HDFS architecture
Using HDFS

Resource management:

YARN architecture
Working with YARN

Importing relational data with Apache Sqoop

Sqoop overview
Basic imports and exports
Limiting results
Improving Sqoop’s performance
Sqoop 2

Introduction to Impala and Hive

Introduction to Impala and Hive
Why use Impala and Hive?
Querying data With Impala and Hive
Comparing Hive and Impala to traditional databases

Modelling and managing data with Impala and Hive

Data storage overview
Creating databases and tables
Loading data into tables
HCatalog
Impala metadata caching

Data formats

Selecting a file format
Hadoop tool support for file formats
Avro schemas
Using Avro with Impala, Hive and Sqoop
Avro schema evolution
Compression

Data file partitioning

Partitioning overview
Partitioning in Impala and Hive
Capturing data with Apache Flume
What is Apache Flume?
Basic Flume architecture:

Flume sources
Flume sinks
Flume channels
Flume configuration

Spark basics

What is Apache Spark?
Using the Spark Shell
RDDs (Resilient Distributed Datasets)
Functional programming in Spark

Working with RDDs in Spark

Creating RDDs
Other general RDD operations

Writing and deploying 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 Spark properties
Logging

Parallel processing in Spark

Review: Spark on a Cluster
RDD partitions
Partitioning of File-based RDDs
HDFS and data locality
Executing parallel operations
Stages and tasks

Spark RDD persistence

RDD Lineage
RDD persistence overview
Distributed persistence
Common patterns in spark data processing
Common Spark use cases
Iterative algorithms in Spark
Graph processing and analysis
Machine learning
Example: k-means

DataFrames and Spark SQL

Spark SQL and the SQL context
Creating DataFrames
Transforming and querying DataFrames
Saving DataFrames
DataFrames and RDDs
Comparing Spark SQL, Impala, and Hive-on-Spark

Exam Track

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

CCA175 - CCA Spark and Hadoop Developer Exam

Additional details:

Number of questions: 10-12 performance-based (hands-on) tasks on a CDH5 cluster
Time limit: 120 minutes
Passing score: 70%

For each CCA question you must solve a particular scenario. You will be required to use tools like Hive and Impala, as well as coding in Scala or Python.

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 be a developer/engineer with programming experience in Scala or Python. Basic knowledge of Linux command line and SQL is also recommended.

Prior experience with Hadoop is not required for this accelerated course.

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.

"I had a great time. The instructor is very knowledgeable and his training is on point. Two exams in 2 days is a lot. But he makes it doable."
Juan van Gom, Ministry of Defense Netherlands. (19/1/2024 (Friday) to 21/1/2024 (Sunday))

"It was a tough but interesting 5 days. Learnt new skills and have a better understanding of the tools that can be used by a Business Analyst. Met new people from different companies with different expertise."
Neil Wyborn. (8/1/2024 (Monday) to 12/1/2024 (Friday))

"Great residential place of study. Great tuition with a great Trainer. Great facilities to learn. Looking forward to the next residential!! Looking forward to applying knowledge gained!"
SL, Macmillan Support Cancer. (8/1/2024 (Monday) to 12/1/2024 (Friday))

"Very organised and clear. Enjoyed the teaching. Excellent standard."
MH, Orange cyber defense. (30/10/2023 (Monday) to 1/11/2023 (Wednesday))

"Detailed and thorough training in a great environment."
Anonymous, SYP. (8/1/2024 (Monday) to 12/1/2024 (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

Cloudera - CCA Spark and Hadoop Developer Certification