Data Analytics Geylang, Central

Course details

The demand for Big Data and Business Analytics professionals are so high that Harvard Business Review dubs Data Scientist as "The Sexiest Job of the 21st Century". This short course aims to provide the foundations for IT professionals to quickly jumpstart a Big Data Analytics project in their organizations.

Program Benefits

This modular course is intended for the students who would like to learn how to store, manage, process and analyze massive amounts of unstructured data for competitive advantage; select and implement the correct Big Data stores; and apply sophisticated analytic techniques and tools to process and analyze big data. It establishes a strong working knowledge of the concepts, techniques, and products associated with Big Data. The course provides an overview of how to plan and implement a Big Data solution and the various technologies that comprise Big Data. Many examples and exercises of Big Data systems are provided throughout the course. The programming examples are in Java but the primary focus is on best practices that can be applied to any supported programming language. Those completing this course are encouraged to take an accreditation test on Hadoop's Big Data to obtain a professional certification at any time of their convenience

Program Objectives

Everyone seems to be talking about Big Data these days – the paradigm shift, the order-of-magnitude benefits, the brilliant insights. Is this just hype, or is there really a way to dramatically improve an enterprise's performance by leveraging its data assets? Designed to address the growing need for data analysts, qualified analytics managers and data scientists, each course in this ground-breaking program considers the technical and managerial/organizational aspects of enterprise data management and analytics in parallel. It will challenge both business focused and technically minded participants to broaden their horizons, adopt new ways of thinking and embrace the promise of a smarter, better future achievable through data analytics.

Program Outline

This modular course includes the following topics:

• Introduction to Big Data
• Hadoop overview and basic concepts
• Writing Map Reduce Applications
• Reducers and Partitioners
• Hadoop API library
• Input and output formats
• Advanced MapReduce features
• Sqoop, Flume, HBase, Hive and Pig overview
• Oozie overview

Course Modules

Students will acquire the knowledge and skills needed to:

• Explain characteristics of Big Data and
• Perform Hadoop basic cluster configuration
• Execute HDFS commands
• Write and run map reduce applications
• Write a custom practitioner
• Use the tool runner
• Write a Pig script to explore and transform data in HDFS
• Perform unit testing a Mapreduce job with MR unit
• Optimize the Map Reduce jobs
• Write and implement a custom Writable comparable
• Explain advanced Map Reduce jobs
• Import RDBMS Data using Sqoop

Entry Requirements

Graduates or Diploma holders who has experience in any of the programming language such as Java PHP, Python or C#. Students must be Singaporean / SPR to avail WDA fundin

Certificates Issued

Those completing this course are encouraged to take an accreditation test on Hadoop's Big Data to obtain a professional certification at any time of their convenience. This is outside the scope of this course.

Upon successful completion of this module students will be issued with following SOAs:

• IT-IM-502S-1 Analyse report and trends
• IT-IM-302S-1 Analyse data and generate reports

Education Pathway

Graduates may opt to pursue more advanced study by enrolling in a future professional diploma in Big Data and Analytics course to be offered by Lithan Hall Academy

Graduation Requirements

Students must successfully pass or deemed Competent (C) in assessments. Student upon failing will need to take the module again. An additional charge applies in such cases