Course Outline

  1. Big data fundamentals
    • Big Data and its role in the corporate world
    • The phases of development of a Big Data strategy within a corporation
    • Explain the rationale underlying a holistic approach to Big Data
    • Components needed in a Big Data Platform
    • Big data storage solution
    • Limits of Traditional Technologies
    • Overview of database types
    • The four dimensions of Big Data
  2. Big data impact on business
    • Business importance of Big Data
    • Challenges of extracting useful data
    • Integrating Big data with traditional data
  3. Big data storage technologies
    • Overview of big data technologies
      • Data storage models
      • Hadoop
      • Hive
      • Cassandra
      • MongoDB
    • Choosing the right big data technology
  4. Processing big data
    • Connecting and extracting data from database
    • Transforming and preparation data for processing
    • Using Hadoop MapReduce for processing distributed data
    • Monitoring and executing Hadoop MapReduce jobs
    • Hadoop distributed file system building blocks
    • Mapreduce and Yarn
    • Handling streaming data with Spark
  5. Big data analysis tools and technologies
    • Programming Hadoop with Pig Latin language
    • Querying big data with Hive
    • Mining data with Mahout
    • Visualizing and reporting tools
  6. Big data in business
    • Managing and establishing Big Data needs
    • Business importance of Big Data
    • Selecting the right big data tools for the problem

 

Data Warehousing Concepts

  • What is Data Ware House?
  • Difference between OLTP and Data Ware Housing
  • Data Acquisition
  • Data Extraction
  • Data Transformation.
  • Data Loading
  • Data Marts
  • Dependent vs Independent data Mart
  • Data Base design

ETL Testing Concepts:

  • Introduction.
  • Software development life cycle.
  • Testing methodologies.
  • ETL Testing Work Flow Process.
  • ETL Testing Responsibilities in Data stage.       

Big data Fundamentals

  • Big Data and its role in the corporate world
  • The phases of development of a Big Data strategy within a corporation
  • Explain the rationale underlying a holistic approach to Big Data
  • Components needed in a Big Data Platform
  • Big data storage solution
  • Limits of Traditional Technologies
  • Overview of database types

NoSQL Databases

Hadoop

Map Reduce

Apache Spark

 

Requirements

Delegates should have an awareness and some experience of storgage tools and an awreness of handling large data sets
  14 Hours
 

Need help picking the right course?
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Testimonials

the scope of material

Maciej Jonczyk

systematizing knowledge in the field of ML

Orange Polska

I really was benefit from the willingness of the trainer to share more.

Balaram Chandra Paul

I generally was benefit from the presentation of technologies.

Continental AG / Abteilung: CF IT Finance

Overall the Content was good.

Sameer Rohadia

Michael the trainer is very knowledgeable and skillful about the subject of Big Data and R. He is very flexible and quickly customize the training meeting clients' need. He is also very capable to solve technical and subject matter problems on the go. Fantastic and professional training!.

Xiaoyuan Geng - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada

I really enjoyed the introduction of new packages.

Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada

The tutor, Mr. Michael An, interacted with the audience very well, the instruction was clear. The tutor also go extent to add more information based on the requests from the students during the training.

Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada

The subject matter and the pace were perfect.

Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada

The example and training material were sufficient and made it easy to understand what you are doing.

Teboho Makenete

Richard's training style kept it interesting, the real world examples used helped to drive the concepts home.

Jamie Martin-Royle - NBrown Group

The content, as I found it very interesting and think it would help me in my final year at University.

Krishan Mistry - NBrown Group

I generally liked the fernando's knowledge.

Valentin de Dianous - Informatique ProContact INC.

The broad coverage of the subjects

- Roche

Intensity, Training materials and expertise, Clarity, Excellent communication with Alessandra

Marija Hornis Dmitrovic - Marija Hornis

R programming

Osden Jokonya - University of the Western Cape

Practical exercises

JOEL CHIGADA - University of the Western Cape

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