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Big Data









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Introduction to Big Data

COURSE TYPE

Foundation

Course Number

1250

Duration

3 Days

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About This Course: Data sets that have the potential to grow rapidly need to be manageable. This course provides the knowledge and training to use new Big Data tools and techniques as well as learn ways of storing information that will allow for efficient processing and analysis for informed business decision-making. Further, you learn to store, manage, process and analyze massive amounts of unstructured data.

You Will Learn How To

  • Integrate Big Data components to create an appropriate Data Lake
  • 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 organization

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

Analyzing 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 Analyze 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
  • Visualizing processed results with reporting tools
  • Querying in real time with Impala
  • Developing a Big Data Strategy

Defining a Big Data strategy for your organization

  • Establishing your Big Data needs
  • Meeting business goals with timely data
  • Evaluating commercial Big Data tools
  • Managing organizational 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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Course Schedule

Attend this live, instructor-led course In-Class or Online via AnyWare.

Hassle-Free Enrollment: No advance payment required.
Tuition due 30 days after your course.

Oct 19 - 21 Ottawa/AnyWare Enroll Now

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Oct 26 - 28 Herndon, VA/AnyWare Enroll Now

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Nov 2 - 4 Toronto/AnyWare Enroll Now

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Nov 16 - 18 New York/AnyWare Enroll Now

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Nov 30 - Dec 2 Herndon, VA/AnyWare Enroll Now

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Dec 14 - 16 Toronto/AnyWare Enroll Now

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Jan 11 - 13 Rockville, MD/AnyWare Enroll Now

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Jan 18 - 20 Ottawa/AnyWare Enroll Now

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Jan 25 - 27 Herndon, VA/AnyWare Enroll Now

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Feb 1 - 3 Toronto/AnyWare Enroll Now

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Mar 1 - 3 Alexandria, VA/AnyWare Enroll Now

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Mar 29 - 31 Toronto/AnyWare Enroll Now

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Apr 12 - 14 Herndon, VA/AnyWare Enroll Now

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Apr 19 - 21 Rockville, MD/AnyWare Enroll Now

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May 3 - 5 New York/AnyWare Enroll Now

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May 24 - 26 Toronto/AnyWare Enroll Now

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Jun 21 - 23 Alexandria, VA/AnyWare Enroll Now

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Jun 28 - 30 AnyWare Enroll Now

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Jul 19 - 21 Ottawa/AnyWare Enroll Now

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Jul 26 - 28 Herndon, VA/AnyWare Enroll Now

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Aug 23 - 25 New York/AnyWare Enroll Now

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Sep 6 - 8 Rockville, MD/AnyWare Enroll Now

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Sep 27 - 29 Toronto/AnyWare Enroll Now

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Bring this Course to Your Organization and Train Your Entire Team
For more information, call 1-888-843-8733 or click here

Tuition

Standard

$2650

Government

$2355

Course Tuition 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.

Free Course Exam
You can take your course exam on the last day of your course and receive a Certificate of Achievement with the designation "Awarded with Distinction."

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Questions

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An experienced training advisor will happily answer any questions you may have and alert you to any tuition savings to
which you or your organization may be entitled.

Training Hours

Standard Course Hours: 9:00 am – 4:30 pm
*Informal discussion with instructor about your projects or areas of special interest: 4:30 pm – 5:30 pm


FREE Online Course Exam (if applicable) – Last Day: 3:30 pm – 4:30 pm
By successfully completing your FREE online course exam, you will:

  • Have a record of your growth and learning results.
  • Bring proof of your progress back to your organization
  • Earn credits toward industry certifications (if applicable)
  • Make progress toward one or more Learning Tree Specialist & Expert Certifications (if applicable)

Enhance Your Credentials with Professional Certification

Learning Tree's comprehensive training and exam preparation guarantees that you will gain the knowledge and confidence to achieve professional certification and advance your career.

Earn 17 Credits from NASBA

This course qualifies for 17 CPE credits from the National Association of State Boards of Accountancy CPE program. Read more ...

"I really learned the 'how-to' from the exercises. I tend to be a very hands-on person. I learned almost all of what I know by doing, so I really thought that the exercises helped me learn the material. They also helped me feel a bit more confident that I can actually perform these functions in the real world."

- P. Ward, Web Developer
The Raymond Corporation

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