Logical Operations - Big Data Essentials Bootcamp

Duration

Duration:

Just 3 Days

Method

Method:

Classroom / Online / Hybrid

Next date

Next date:

30/9/2024 (Monday)

Overview

On this accelerated 3-day Big Data Essentials course, you'll learn the fundamentals of architecting and running Big Data systems.

You'll get the full hands-on experience with our unique Lecture | Lab | Review technique, which will immerse you in the curriculum, helping you gain an in-depth understanding of how to use best practices, tools and techniques essential in building modern-day Big Data applications.

Your expert instructors will take you through various applications such as Hadoop, NoSQL and Spark.

You'll learn to:

  • Master the best practices of Hadoop programming in Pig, Hive, and Java.
  • Enhance Big Data solutions for real-time data access with the help of NoSQL technologies, such as HBase and Cassandra.
  • Understand the difference of NoSQL data modeling in contrast to SQL data modeling.
  • Utilise Spark for interactive data analytics with Scala or SQL.
  • Implement near-real-time analytical processing with Spark Streaming.

You'll also have 24/7 lab access, which means you can test your skills in building successful Big Data systems whenever you want.

If you're a developer, architect or technical manager looking to implement and architect Big Data systems, this course is ideal for you.

Four reasons why you should sit your Big Data Essentials course with Firebrand Training

  1. You'll be Big Data Essentials 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 Big Data Essentials course is all-inclusive. One simple price covers all course materials, exams, accommodation and meals – so you can focus on learning
  3. Pass Big Data Essentials 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 Big Data Essentials 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

Curriculum

Lesson 1: Big Data Overview

  • Big Data
  • Big Data Use Cases
  • Designing a Big Data System
  • Technologies: Hadoop
  • Technologies: NoSQL
  • Analytics
  • Putting It All Together

Lesson 2: Hadoop Introduction

  • Introduction to Hadoop
  • The Future of Hadoop

Lesson 3: HDFS and MapReduce Primer

  • HDFS
  • MapReduce
  • YARN
  • Future of Hadoop Processing Engines

Lesson 4: Hive

  • Hadoopy, Hive, and SQL
  • Hive Design and Architecture
  • HiveQL
  • First Look at Hive
  • Hive Partitions
  • Hive Joins
  • Hive UDFs
  • Text Analytics with Hive

Lesson 5: Hive 2

  • Data Access
  • Feature Generation
  • Filter/Search/Transpose
  • Binning and Smoothing
  • Tez

Lesson 6: Pig

  • Understand Apache Pig
  • Pig Concepts/History
  • Pig by Example
  • Pig as an ETL Pipeline

Lesson 7: Hadoop Cluster Planning

  • Planning Hadoop Hardware
  • Planning Software Install

Lesson 8: Hadoop Install and Configure

  • Different Installation Configurations in Hadoop
  • Install Hadoop
  • Configure Hadoop Cluster
  • Common Configuration Properties
  • Making Installation and Configuration Easier
  • Hadoop Advanced Configuration

Lesson 9: Hadoop Data Ingest

  • Flume
  • Sqoop
  • REST
  • Import Best Practices

Lesson 10: NoSQL Intro

  • RDBMS and NoSQL
  • ACID in NoSQL
  • CAP Theorem
  • NoSQL Stores
  • Columnar Storage

Lesson 11: Cassandra Intro

  • Introduction & Architecture
  • Cassandra Use Cases
  • Data Organization
  • First Look at Cassandra
  • Replication & Consistency

Lesson 12: Cassandra Data Modeling 1

  • Keyspaces and Tables
  • CQL Queries
  • Indexing

Lesson 13: Cassandra Data Modeling 2

  • Collections
  • Composite Keys
  • Time Series Data
  • Counters
  • Lightweight Transactions

Lesson 14: Cassandra Data Modeling Labs

  • MyFlix (Netflix)
  • YouTube
  • Online Shopping (Amazon)
  • User Activity (Facebook)

Lesson 15: Scala Primer

  • Introduction
  • Collections
  • Functions/Methods
  • Class/Object/Trait

Lesson 16: Introduction to Spark

  • Introduction
  • Spark vs. Hadoop
  • A First Look at Spark

Lesson 17: Spark Data Model 1

  • Data Model Overview
  • RDD Concepts
  • Spark Workflow
  • Working with RDDs
  • Key-Value Pairs
  • Caching

Lesson 18: Spark Data Model 2

  • DataFrames
  • Working with DataFrames
  • Spark SQL
  • DataSet
  • Spark and Hive
  • Data Formats

Lesson 19: Spark API/Applications

  • Core API
  • Building and Running Applications
  • Application Lifecycle
  • Logging & Debugging

Lesson 20: Machine Learning Primer

  • Machine Learning Concepts
  • Machine Learning Vocabulary
  • Text Mining
  • Recommendations

Lesson 21: Spark Streaming

  • Streaming
  • Spark Streaming Overview
  • Architecture
  • Programming
  • Structured Streaming
  • Transformations
  • Apache Kafka

What's Included

On this course you'll receive official Big Data Essentials 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. 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

Before attending this course, you should be familiar with at least one programming language and be comfortable working with a command-line interface.

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 09 - 31 587 431 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,
96,14% have said Firebrand exceeded their expectations:

"Effective way to gain certification. Would highly recommend to colleagues. Great location. Comfortable environment. Good food."
Nigel Hodges, Pyrus Consulting. (21/5/2024 (Tuesday) to 24/5/2024 (Friday))

"Effective way to gain certification. Would highly recommend to colleagues. Great location. Comfortable environment. Good food."
Nigel Hodges, Pyrus Consulting. (21/5/2024 (Tuesday) to 24/5/2024 (Friday))

"Very good Resources within the E-Book, Mixed with the Lessons, it is also has good Labs to get hands on Practice and put the theory somewhere practical to get full learning experience, with very high standard explanation throughout the lectures. 10/10!"
Rhys Thomas, Nokia. (7/5/2024 (Tuesday) to 10/5/2024 (Friday))

"All the staff are very attentive. A fantastic instructor that was able to answer all questions whilst keeping the sessions informative."
Ash Petch, Cepac. (7/5/2024 (Tuesday) to 10/5/2024 (Friday))

"My experience at Firebrand was brilliant. The people here are nice and approachable among the other apprentices of whom also are very nice and made great friends here too! I am looking forward to my next 2 trips here!"
Lewis Vick, Computacenter. (7/5/2024 (Tuesday) to 10/5/2024 (Friday))

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