Cloudera - CCA Data Analyst

Duration

Duration:

Just 3 Days

Method

Method:

Classroom / Online / Hybrid

Next date

Next date:

26/9/2022 (Monday)

Overview

On this accelerated 3-day Cloudera CCA Data Analyst course, you'll get the skills you need to apply traditional data analytics and business intelligence skills to big data.

Your expert instructor will introduce you to the tools and techniques you need to access, manipulate, transform, and analyse complex data sets using SQL and familiar scripting languages.

You'll learn topics such as:

  • The features that Pig, Hive, and Impala offer for data acquisition, storage, and analysis
  • The fundamentals of Apache Hadoop and data ETL (extract, transform, load), ingestion, and processing with Hadoop
  • How Pig, Hive, and Impala improve productivity for typical analysis tasks
  • Joining diverse datasets to gain valuable business insight
  • Performing real-time, complex queries on datasets

Access to 24/7 labs means that you can test your hands-on skills in navigating the Hadoop ecosystem whenever you like. Through our unique Lecture | Lab | Review technique, you'll gain Apache Hadoop skills faster.

On this course, you'll prepare for and sit the CCA Data Analyst exam, covered by your Certification Gurantee.

If you're a data analyst, business intelligence specialist, developer, system architect or database administrator, this course is ideal for you.

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

  1. You'll be CCA Data Analyst 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
  2. Your CCA Data Analyst course is all-inclusive. One simple price covers all course materials, exams, accommodation and meals – so you can focus on learning
  3. Pass CCA Data Analyst 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
  4. Study CCA Data Analyst 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 125.505 students saving more than one million hours since 2001

Curriculum

Introduction Apache Hadoop Fundamentals

  • The Motivation for Hadoop
  • Hadoop Overview
  • Data Storage: HDFS
  • Distributed Data Processing: YARN, MapReduce, and Spark
  • Data Processing and Analysis: Pig, Hive, and Impala
  • Database Integration: Sqoop
  • Other Hadoop Data Tools
  • Exercise Scenarios

Introduction to Apache Pig

  • What is Pig?
  • Pig's Features
  • Pig Use Cases
  • Interacting with Pig

Basic Data Analysis with Apache Pig

  • Pig Latin Syntax
  • Loading Data
  • Simple Data Types
  • Field Definitions
  • Data Output
  • Viewing the Schema
  • Filtering and Sorting Data
  • Commonly Used Functions

Processing Complex Data with Apache Pig

  • Storage Formats
  • Complex/Nested Data Types
  • Grouping
  • Built-In Functions for Complex Data
  • Iterating Grouped Data

Multi-Dataset Operations with Apache Pig

  • Techniques for Combining Datasets
  • Joining Datasets in Pig
  • Set Operations
  • Splitting Datasets

Apache Pig Troubleshooting and Optimisation

  • Troubleshooting Pig
  • Logging
  • Using Hadoop's Web UI
  • Data Sampling and Debugging
  • Performance Overview
  • Understanding the Execution Plan
  • Tips for Improving the Performance of Pig Jobs

Introduction to Apache Hive and Impala

  • What is Hive?
  • What is Impala?
  • Why Use Hive and Impala?
  • Schema and Data Storage
  • Comparing Hive and Impala to Traditional Databases
  • Use Cases

Querying with Apache Hive and Impala

  • Databases and Tables
  • Basic Hive and Impala Query Language Syntax
  • Data Types
  • Using Hue to Execute Queries
  • Using Beeline (Hive's Shell)
  • Using the Impala Shell

Apache Hive and Impala Data Management

  • Data Storage
  • Creating Databases and Tables
  • Loading Data
  • Altering Databases and Tables
  • Simplifying Queries with Views
  • Storing Query Results

Data Storage and Performance

  • Partitioning Tables
  • Loading Data into Partitioned Tables
  • When to Use Partitioning
  • Choosing a File Format
  • Using Avro and Parquet File Formats

Relational Data Analysis with Apache Hive and Impala

  • Joining Datasets
  • Common Built-In Functions
  • Aggregation and Windowing

Complex Data with Apache Hive and Impala

  • Complex Data with Hive
  • Complex Data with Impala

Analysing Text with Apache Hive and Impala

  • Using Regular Expressions with
  • Hive and Impala
  • Processing Text Data with SerDes in Hive
  • Sentiment Analysis and n-grams in Hive

Apache Hive Optimisation

  • Understanding Query Performance
  • Bucketing
  • Indexing Data
  • Hive on Spark

Apache Impala Optimisation

  • How Impala Executes Queries
  • Improving Impala Performance

Extending Apache Hive and Impala

  • Custom SerDes and File Formats in Hive
  • Data Transformation with
    • Custom Scripts in Hive
    • User-Defined Functions
    • Parameterised Queries

Choosing the Best Tool for the Job

  • Comparing Pig, Hive, Impala, and Relational Databases

Exam Track

On this course, you'll prepare for and take the following exam at the Firebrand Training centre, covered by your Certification Guarantee.

CCA Data Analyst Exam (CCA159)

  • Number of questions: 8-12
  • Format: performance-based
  • Duration: 120 minutes
  • Passing Score: 70%

What's Included

On this course, you'll receive:

  • Official Cloudera Data Analyst 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

Before attending this course, you should have knowledge of:

  • SQL
  • Linux command line
  • At least one scripting language (e.g., Bash scripting, Perl, Python, Ruby).

You don't need to have experience in Apache Hadoop.

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 52 50 01 66 and speak to one of our enrolment consultants, who can help you with a training plan.

Reviews

We've currently trained 125.505 students in 12 years. We asked them all to review our Accelerated Learning. Currently,
96,60% have said Firebrand exceeded their expectations:

"Great training at a convenient location."
Kenneth Brann, DOD. (25/7/2022 (Monday) to 26/7/2022 (Tuesday))

"Pretty good and enjoyable course"
James McRobbie, Lexis Nexis. (26/7/2022 (Tuesday) to 27/7/2022 (Wednesday))

"The instructor was a great teacher and has gone through everything in great detail. He has been great to have"
Joseph Bulpin, LexisNexis. (26/7/2022 (Tuesday) to 27/7/2022 (Wednesday))

"The instructor was a wonderful and adaptable trainer that took into account the needs of the group and the differing paces of learning. He also put up with a lot of rambunctiousness very gracefully! Thank you for helping coach us in Scrum."
Saara Laspa. (26/7/2022 (Tuesday) to 27/7/2022 (Wednesday))

"Firebrand\''s approach to training just makes sense."
Darren Edmondson. (25/7/2022 (Monday) to 26/7/2022 (Tuesday))

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