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Associate Big Data Engineer (ABDE™)

Awarding body

Data Science Council of America (DASCA)

Specialization

Data Science

This program is about:

Providing aspiring Big Data Engineer critical exposure to popular proprietary platforms in the Big Data applications space.

It covers advanced knowledge of latest concepts, tools, approaches and best practices of designing, developing and programming data analytics applications.

At the end of the program, you will be able to:

  1. Apply the foundations of data science for big data.
  2. Apply Python and Hadoop 3 for big data processing.
  3. Use R and Python in for massive data analytics basics.
  4. Understanding the use of combination of tools in data analytics applications.
  5. Use R and Python to program Machine Learning and Ai application in analytics.
  6. Use MongoDB Shell applications in streaming data storage.
  7. Use Kafka streams in building streaming applications.
  8. Use Apache Flink for big data streaming and batch data processing.
  9. 9. Understand enterprise data analytics implementation.

The program provide you with:

  1. Foundations of Data Science
  2. Data Processing Framework and Hadoop
  3. Big Data Analytics Basics
  4. R and Hadoop Applications
  5. Analytics in Machine Learning and Ai
  6. Streaming Data Storage
  7. Streaming Data Architectures
  8. Streaming & Batch Data Processing
  9. Enterprise Data Analytics Implementation

The program is suitable for:

  • Profession level: Big Data Engineers who seek to build longer–lasting sets of skills and a more in-depth Big Data perspective.
  • Education level: BSc in engineering, IT, computer science, software engineering and any related field of science. Or Diploma in the same fields with some years of experience.”

Awarding body:

Data Science Council of America (DASCA)

Specialization:

Data Science Council of America (DASCA)

Type of certificate:

Achievement

Assessment:

Online Exam

Career progression:

It leads to higher career levels: Senior Big Data Engineer (SBDE™) and Senior Data Scientist (SDS™)

Venue:

Enma Institue

Tamkeen support scheme:

Professional Scheme

Learner Obligations:

Compliance to program rules & regulations set by the institute and awarding body.

Curriculum

  • Foundations Of Data Science
  • Data Processing Framework And Hadoop
  • Big Data Analytics Basics
  • R And Hadoop Applications
  • Analytics In Machine Learning And Ai
  • Streaming Data Storage
  • Streaming Data Architectures
  • Streaming & Batch Data Processing
  • Enterprise Data Analytics Implementation
Duration

30 hours

Effort

2-5 hours/week

Institution

DASCA

Subject:

Associate Big Data Engineer

 Quizzes:

Yes

  Language:

English

  Certificate:

Yes

Program Cost

1,000 BD

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