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Big Data Architecture Training

Big Data Architecture Training
Organizer: The Knowledge Academy
Jul 05, 2019 (Fri)
9:00-5:00
62/F & 66/F The Center 99 Queens Road Central Hong Kong
HK$14625


Bid Data Architecture Training Course Overview

Big Data Hadoop Architects are responsible for the development and deployment of applications on a large scale. In addition to this, they are tasked with preparing and creating Big Data systems. Delegates shall gain a thorough understanding of how to create a Hadoop solution that meets their business requirements. This comprehensive one-day course will equip delegates with the skills required to install, configure, and manage the Apache Hadoop platform. In addition, delegates will be able to build a Hadoop solution that is tailored to their specific business requirements.



The sudden development of large data sets brings with it fresh challenges and it can be difficult to manoeuvre oneself in unchartered territory. This course covers a wide range of big data architecture material from real-time and batch processing, data formats and data lifecycle, to the various database interfaces. Scalable applications is a critical topic covered within this module. Whether scaling up or down, being able to determine an application’s scalability, and doing so accurately and efficiently, these are essential skills a proficient big data architect will require. Another important issue, which is discussed during the course, is Security and Privacy. The principles of security within the platform alongside threats to privacy will be examined in detail. In addition to these topics, being able to select the best technology that suit the current demands, will be a key feature of the course syllabus.



Big Data Architecture Training Course Outline

The following is a brief synopsis of the topics that will be covered over the intensive one-day course.




  • Brief overview of the Hadoop development framework


  • Real-time processing, Batch Processing


  • Data formats, Data Lifecycle


  • Data model creation


  • Database interfaces


  • Scaling


  • Security and Privacy


  • Hadoop clusters


  • Selecting the right technology


  • Big data and Hadoop administration


For more details and registration, please click here.