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Introduction to Big Data

COURSE TYPE

Foundation

Course Number

1250

Duration

3 Days

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What is Big Data? + Key Reasons to Learn Big Data Analytics starting with a vendor-agnostic approach:
This Intro to Big Data is a unique approach to help you act on data for real business gain – not what a tool can do, but what you can do with the output from the tool.  Big data as defined by Wiki is a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications.

In this hands-on Introduction to Big Data Course, learn to leverage big data analysis tools and techniques to foster better business decision-making – before you get into specific products like Hadoop training (just to name one). Learn ways of storing data that allow for efficient processing and analysis, and gain the skills you need to store, manage, process, and analyze massive amounts of unstructured data to create an appropriate data lake.

View this Big Data training course as part of a learning path defined by job roles ›

You Will Learn How To

  • Store, manage, and analyse unstructured data
  • Select the correct big data stores for disparate data sets
  • Process large data sets using Hadoop to extract value
  • Query large data sets in near real time with Pig and Hive
  • Plan and implement a big data strategy for your organisation

Important Course Information

Recommended Experience:

  • Working knowledge of the Microsoft Windows platform and basic database concepts

Who Should Attend:

  • Anyone needing to implement, enhance your big data environment and looking to advance their analytics career by ensuring foundational knowledge
  • Typical job roles include: Project Managers and IT Managers, Database Administrators & Data Architects, Developers & SQL Developers, Data Scientists & Business Intelligence

All-Inclusive: After-Course Coaching for Real-World Application:

Learning Tree is with you from the beginning of your planning until you return to your job ready to apply your new skills – with instructor coaching to answer real-world big data implementation challenges.

Take Your Big Data Course Online or In-person:

Schedules are busy, but big data training online makes it easy to level-up your career. If you need Big Data online training, we’ve got you covered. Our AnyWare course delivery option gives you the advantages of a live classroom right from the comfort of your computer screen – no matter where you are.

Course Outline

  • Introduction to Big Data

Defining Big Data

  • The four dimensions of Big Data: volume, velocity, variety, veracity
  • Introducing the Storage, MapReduce and Query Stack

Delivering business benefit from Big Data

  • Establishing the business importance of Big Data
  • Addressing the challenge of extracting useful data
  • Integrating Big Data with traditional data
  • Storing Big Data

Analysing your data characteristics

  • Selecting data sources for analysis
  • Eliminating redundant data
  • Establishing the role of NoSQL

Overview of Big Data stores

  • Data models: key value, graph, document, column–family
  • Hadoop Distributed File System
  • HBase
  • Hive
  • Cassandra
  • Hypertable
  • Amazon S3
  • BigTable
  • DynamoDB
  • MongoDB
  • Redis
  • Riak
  • Neo4J

Selecting Big Data stores

  • Choosing the correct data stores based on your data characteristics
  • Moving code to data
  • Implementing polyglot data store solutions
  • Aligning business goals to the appropriate data store
  • Processing Big Data

Integrating disparate data stores

  • Mapping data to the programming framework
  • Connecting and extracting data from storage
  • Transforming data for processing
  • Subdividing data in preparation for Hadoop MapReduce

Employing Hadoop MapReduce

  • Creating the components of Hadoop MapReduce jobs
  • Distributing data processing across server farms
  • Executing Hadoop MapReduce jobs
  • Monitoring the progress of job flows

The building blocks of Hadoop MapReduce

  • Distinguishing Hadoop daemons
  • Investigating the Hadoop Distributed File System
  • Selecting appropriate execution modes: local, pseudo–distributed and fully distributed

Handling streaming data

  • Comparing real–time processing models
  • Leveraging Storm to extract live events
  • Lightning–fast processing with Spark and Shark
  • Tools and Techniques to Analyse Big Data

Abstracting Hadoop MapReduce jobs with Pig

  • Communicating with Hadoop in Pig Latin
  • Executing commands using the Grunt Shell
  • Streamlining high–level processing

Performing ad hoc Big Data querying with Hive

  • Persisting data in the Hive MegaStore
  • Performing queries with HiveQL
  • Investigating Hive file formats

Creating business value from extracted data

  • Mining data with Mahout
  • Visualising processed results with reporting tools
  • Querying in real time with Impala
  • Developing a Big Data Strategy

Defining a Big Data strategy for your organisation

  • Establishing your Big Data needs
  • Meeting business goals with timely data
  • Evaluating commercial Big Data tools
  • Managing organisational expectations

Enabling analytic innovation

  • Focusing on business importance
  • Framing the problem
  • Selecting the correct tools
  • Achieving timely results
  • Implementing a Big Data Solution
  • Selecting suitable vendors and hosting options
  • Balancing costs against business value
  • Keeping ahead of the curve
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Convenient Ways to Attend This Instructor-Led Course

Hassle-Free Enrolment: No advance payment required to reserve your seat.
Tuition Fee due 30 days after you attend your course.

In the Classroom

Live, Online

Private Team Training

In the Classroom — OR — Live, Online

Tuition Fee — Standard: £1695  

17 - 19 Jan (3 Days)
9:00 AM - 4:30 PM GMT
London / Online (AnyWare) London / Online (AnyWare) Reserve Your Seat

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Live, Online
In-Class

2 - 4 May (3 Days)
9:00 AM - 4:30 PM BST
London / Online (AnyWare) London / Online (AnyWare) Reserve Your Seat

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Live, Online
In-Class

4 - 6 Jul (3 Days)
9:00 AM - 4:30 PM BST
London / Online (AnyWare) London / Online (AnyWare) Reserve Your Seat

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Live, Online
In-Class

8 - 10 Aug (3 Days)
9:00 AM - 4:30 PM BST
London / Online (AnyWare) London / Online (AnyWare) Reserve Your Seat

How would you like to attend?

Live, Online
In-Class

AFTERNOON START: Attend these live courses online via Anyware

13 - 15 Dec (3 Days)
2:00 PM - 9:30 PM GMT
Online (AnyWare) Online (AnyWare) Reserve Your Seat

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Live, Online

7 - 9 Feb (3 Days)
2:00 PM - 9:30 PM GMT
Herndon, VA / Online (AnyWare) Herndon, VA / Online (AnyWare) Reserve Your Seat

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Live, Online
In-Class

21 - 23 Feb (3 Days)
2:00 PM - 9:30 PM GMT
New York / Online (AnyWare) New York / Online (AnyWare) Reserve Your Seat

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Live, Online
In-Class

4 - 6 Apr (3 Days)
2:00 PM - 9:30 PM BST
Rockville, MD / Online (AnyWare) Rockville, MD / Online (AnyWare) Reserve Your Seat

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Live, Online
In-Class

9 - 11 May (3 Days)
2:00 PM - 9:30 PM BST
Alexandria, VA / Online (AnyWare) Alexandria, VA / Online (AnyWare) Reserve Your Seat

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Live, Online
In-Class

16 - 18 May (3 Days)
2:00 PM - 9:30 PM BST
Online (AnyWare) Online (AnyWare) Reserve Your Seat

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Live, Online

22 - 24 Aug (3 Days)
2:00 PM - 9:30 PM BST
New York / Online (AnyWare) New York / Online (AnyWare) Reserve Your Seat

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Live, Online
In-Class

3 - 5 Oct (3 Days)
2:00 PM - 9:30 PM BST
Rockville, MD / Online (AnyWare) Rockville, MD / Online (AnyWare) Reserve Your Seat

How would you like to attend?

Live, Online
In-Class

7 - 9 Nov (3 Days)
2:00 PM - 9:30 PM GMT
Alexandria, VA / Online (AnyWare) Alexandria, VA / Online (AnyWare) Reserve Your Seat

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In-Class

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Private Team Training

Enroling at least 3 people in this course? Consider bringing this (or any course that can be custom designed) to your preferred location as a private team training.

For details, call 0800 282 353 or Click here »

Tuition Fee

Standard

In Classroom or
Online

Standard

£1695

Private Team Training

Contact Us »

Course Tuition Fee Includes:

After-Course Instructor Coaching
When you return to work, you are entitled to schedule a free coaching session with your instructor for help and guidance as you apply your new skills.

After-Course Computing Sandbox
You'll be given remote access to a preconfigured virtual machine for you to redo your hands-on exercises, develop/test new code, and experiment with the same software used in your course.

Free Course Exam
You can take your Learning Tree course exam on the last day of your course or online at any time after class and receive a Certificate of Achievement with the designation "Awarded with Distinction."

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Training Hours

Standard class hours:
9:00 a.m. - 4:30 p.m.

Last day class hours:
9:00 a.m. - 3:30 p.m.

Free Course Exam – Last Day:
3:30 p.m. - 4:30 p.m.

Each class day:
Informal discussion with instructor about your projects or areas of special interest:
4:30 p.m. - 5:30 p.m.

AFTERNOON START class hours:
2:00 p.m. - 9:30 p.m.


Last day class hours:
2:00 p.m. - 8:30 p.m.


Free Course Exam – Last Day:
8:30 p.m. - 9:30 p.m.


Each class day:
Informal discussion with instructor about your projects or areas of special interest
9:30 p.m. - 10:30 p.m.

“Our instructor was excellent—very funny and engaging. He used lots of examples from personal experience to bring life to concepts”.

- K. Hadley, Finance & CI Manager
University College London Hospitals

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