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.

See prices now to find out how much you could save when you train at twice the speed.

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Four reasons why you should sit your CCA course with Firebrand Training

You'll be CCA trained and certified faster. Learn more on this 3-day accelerated course. You'll get at least 12 hours a day of quality learning time in a distraction-free environment
Your CCA course is all-inclusive. One simple price covers all course materials, exams, accommodation and meals – so you can focus on learning
Pass CCA first time or train again for free. Your expert instructor will deliver our unique accelerated learning methods, allowing you to learn faster and be in the best possible position to pass first time. In the unlikely event that you don't, it's covered by your Certification Guarantee
Study CCA with an award-winning training provider. We've won the Learning and Performance Institute's "Training Company of the Year" three times. Firebrand is your fastest way to learn, with 134.561 students saving more than one million hours since 2001

Benefits

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.

Are you ready to get certified in record time?

We interview all applicants for the course on their technical background, degrees and certifications held, and general suitability. If you get through this screening process, it means you stand a great chance of passing.

Firebrand Training is an immersive training environment. You must be committed to the course. The above prerequisites are guidelines, but many students with less experience have other background or traits that have enabled their success in accelerated training through Firebrand Training.

If you have any doubts as to whether you meet the pre-requisites please call (0)8 44 68 27 85 and speak to one of our enrolment consultants, who can help you with a training plan.

Reviews

We've currently trained 134.561 students in 12 years. We asked them all to review our Accelerated Learning. Currently,
96,41% have said Firebrand exceeded their expectations:

"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))

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

"I attended the Cyber Crime Foundation course with very little knowledge.. The instructor was fantastic, explained subjects in depth and allowed a good amount of time for questions. I came away with lots of knowledge ready to use what I've learnt in my day-to-day role."
JS. (8/1/2024 (Monday) to 12/1/2024 (Friday))

"I very much enjoyed the training! It is a must for police officers new to Cyber Crime Units and is delivered at a good pace. Very good trainer with exceptional knowledge and enthusiasm."
Steve Lloyd, West Mercia Police. (8/1/2024 (Monday) to 12/1/2024 (Friday))

"I have really enjoyed the course, although I have been a self-professed nerd for many years, there was still some knowledge I took from this course. The tutorials on practical applications is something I will take away and use."
Joseph Ingram-Gettins, West Midlands Police. (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