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Big Data Boot Camp

  • Tuition USD $1,595
  • Reviews star_rate star_rate star_rate star_rate star_half 3096 Ratings
  • Course Code BIG-DATA-BC
  • Duration 2 days
  • Available Formats Classroom, Virtual

This big data training course will provide a technical overview of Apache Hadoop for project managers, business managers and data analysts. Students will understand the overall big data space, technologies involved and will get a detailed overview of Apache Hadoop. The course will expose students to real world use cases to comprehend the capabilities of Apache Hadoop. Students will also learn about YARN and HDFS and how to develop applications and analyze Big Data stored in Apache Hadoop using Apache Pig and Apache Hive. Each topic will provide hands on experience to the students. The course is developed and taught by certified Hadoop consultants who have a passion for teaching and help deliver value to various clients using Big Data and Hadoop technologies on a daily basis.

Skills Gained

  • Learn about the big data ecosystem
  • Understand the benefits and ROI you can get from your existing data
  • Learn about Hadoop and how it is transforming the workspace
  • Learn about MapReduce and Hadoop Distributed File system
  • Learn about using Hadoop to identify new business opportunities
  • Learn about using Hadoop to improve data management processes
  • Learn about using Hadoop to clarify results
  • Learn about using Hadoop to expand your data sources
  • Learn about scaling your current workflow to handle more users and lower your overall performance cost
  • Learn about the various technologies that comprise the Hadoop ecosystem

Who Can Benefit

  • Business Analysts
  • Software Engineers
  • Project Managers
  • Data Analysts
  • Business Customers
  • Team Leaders
  • System Analysts

Prerequisites

No prior knowledge of big data and/or Hadoop is required for this class. Some prior programming experience is a plus for this class, but not necessary.

Course Details

1. Introduction to Big Data

  • Big Data - beyond the obvious trends
  • Technologies involved
  • Business drivers
  • Implications for enterprise computing
  • Exponentially increasing data
  • ERP Data
  • CRM Data
  • Web Data
  • Big Data
  • Big data sources
  • Sensors
  • Social
  • Geospatial
  • Video
  • Machine to machine
  • Others
  • Data warehousing, business intelligence, analytics, predictive statistics, data science

2. Survey of Big Data technologies

  • First generation systems
  • RDBMS systems
  • ETL systems
  • BI systems
  • Second generation systems
  • Columnar databases with compression
  • MPP architectures
  • Data warehousing appliances
  • Enterprise search
  • Visualizing and understanding data with processing
  • Streaming processing
  • Statistical processing
  • Data visualization
  • NOSQL databases
  • How do technologies like mongodb, MarkLogic and couchdb fit in?
  • What is polyglot persistence?
  • Apache Hadoop

3. Introduction to Hadoop

  • What is Hadoop? Who are the major vendors?
  • A dive into the Hadoop Ecosystem
  • Benefits of using Hadoop
  • How to use Hadoop within your infrastructure?
  • Where do we use Hadoop?
  • Where do we look at options besides Hadoop?

4. Introduction to MapReduce

  • What is MapReduce?
  • Why do you need MapReduce?
  • Using Mapreduce with Java and Ruby
  • Lab: How to use MapReduce in Hadoop?

5. Introduction to Yarn

  • What is Yarn?
  • What are the advantages of using Yarn over classical MapReduce?
  • Using Yarn with Java and Ruby
  • Lab: How to use Yarn within Hadoop?

6. Introduction to HDFS

  • What is HDFS?
  • Why do you need a distributed file system?
  • How is a distributed file system different from a traditional file system?
  • What is unique about HDFS when compared to other file systems?
  • HDFS and reliability?
  • Does it offer support for compressions, checksums and data integrity?
  • Lab: Overview of HDFS commands

7. Data Transformation

  • Why do you need to transform data?
  • What is Pig?
  • Use cases for Pig
  • Lab: Hands on activities with Pig

8. Structured Data Analysis?

  • How do you handle structured data with Hadoop?
  • What is Hive/HCatalog?
  • Use cases for Hive/HCatalog
  • Lab: Hands on activities with Hive/HCatalog

9. Loading data into Hadoop

  • How do you move your existing data into Hadoop?
  • What is Sqoop?
  • Lab: Hands on activities with Sqoop

10. Automating workflows in Hadoop

  • Benefits of Automation
  • What is oozie?
  • Automatically running workflows
  • Setting up workflow triggers
  • Lab: Demonstration of oozie

11. Exploring opportunities in your own organization

Framing scenarios Understanding how to ask questions Tying possibilities to your own business drivers Common opportunities Real world examples

Hands-on Exercises

You'll experience "in-the-trenches" practice built around actual big data implementations. You'll learn to avoid pitfalls and do it right the first time. Your instructor will help you map the tools and techniques you learn in this class to your own business, so they can be applied in your own organization immediately after the class.

How to use MapReduce in Hadoop?

  • How does it work from languages like Java?
  • How does it work with languages like Ruby?

How to use Yarn within Hadoop?

  • How does it work from languages like Java?
  • How does it work with languages like Ruby?

Overview of HDFS commands

  • Standard file system commands
  • Moving data to and from HDFS

Hands-on activities with Pig

  • Joining Data
  • Filtering Data
  • Storing and Loading Data

Hands-on activities with Hive/HCatalog

  • Storing and Loading Data
  • Select expressions
  • Hive vs SQL

Hands-on activities with Sqoop

  • Running evaluation commands with Sqoop
  • Importing data from relational databases
  • Exporting data to relational databases

Demonstration of Oozie

  • Creating a workflow
  • Running a workflow automatically at regular intervals
  • Running a workflow automatically when some events are triggered

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals, and private on sites. View our group training page for more information.

Exit certified is a great learning facility that I would definitely recommend to up and coming movers in the IT business and also to the more seniors work force.

Great instructor, clear and concise course. Labs were easy to follow and worked perfectly.

Instructor was well informed. Answered all of our questions and a lot was covered.

Course information were appropriate, All communication related to course were on time.

It was a great course. I learned great and useful techniques to effectively utilize the program.

7 options available

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  • Jun 22, 2021 Jun 23, 2021 (2 days)
    Location
    Virtual
    Language
    English
    Time
    8:30 AM 4:30 PM EDT
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  • Jul 12, 2021 Jul 13, 2021 (2 days)
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    Virtual
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    English
    Time
    8:30 AM 4:30 PM EDT
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  • Aug 25, 2021 Aug 26, 2021 (2 days)
    Location
    Virtual
    Language
    English
    Time
    8:30 AM 4:30 PM EDT
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  • Sep 7, 2021 Sep 8, 2021 (2 days)
    Location
    Virtual
    Language
    English
    Time
    8:30 AM 4:30 PM EDT
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  • Oct 19, 2021 Oct 20, 2021 (2 days)
    Location
    Virtual
    Language
    English
    Time
    8:30 AM 4:30 PM EDT
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  • Nov 2, 2021 Nov 3, 2021 (2 days)
    Location
    Virtual
    Language
    English
    Time
    8:30 AM 4:30 PM EDT
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  • Dec 13, 2021 Dec 14, 2021 (2 days)
    Location
    Virtual
    Language
    English
    Time
    8:30 AM 4:30 PM EST
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