HDP Overview: Apache Hadoop Essentials Training in Hong Kong

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 1 Day
  • Price: Please contact for booking options
We can host this training at your preferred location. Contact us!

This course provides a technical overview of Apache Hadoop. It includes high-level information about concepts, architecture, operation, and uses of the Hortonworks Data Platform (HDP) and the Hadoop ecosystem. The course provides an optional primer for those who plan to attend a hands-on, instructor-led course.

This course is offered in both Live Instructor-Led format, or get started now with our FREE self-paced Apache Hadoop Essentials course.

No previous Hadoop or programming knowledge is required.Students will need browser access to the Internet.

Data architects, data integration architects, managers, C-level executives, decision makers, technical infrastructure team, and Hadoop administrators or developers who want to understand the fundamentals of Big Data and the Hadoop ecosystem.

  • At the completion of the course students will be able to:
  • Describe the case for Hadoop
  • Identify the Hadoop Ecosystem architecture
  • Data Management - HDFS, YARN
  • Data Access - Pig, Hive, HBase, Storm, Solr, Spark
  • Data Governance & Integration - Falcon, Flume, Sqoop, Kafka, Atlas
  • Security - Kerberos, Falcon, Knox
  • Operations - Ambari, Zookeeper, Oozie, Cloudbreak
  • Observe popular data transformation and processing engines in action: Apache
  • Hive , Apache Pig, Apache Spark
  • Detail the architecture and features of YARN
  • Describe backup and recovery options
  • Describe how to secure Hadoop
  • Explain the fundamentals of parallel processing
  • Describe data ingestion options and frameworks for batch and real-time streaming
  • Detail the HDFS architecture

  • Operational overview with Ambari
  • Loading data into HDFS
  • Data manipulation with Hive
  • Risk Analysis with Pig
  • Risk Analysis with Spark and Zeppelin
  • Securing Hive with Ranger


Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our Hong Kong facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

11 January 2025 (1 Day)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
16 January 2025 (1 Day)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
22 January 2025 (1 Day)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
11 January 2025 (1 Day)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
16 January 2025 (1 Day)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
22 January 2025 (1 Day)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
10 March 2025 (1 Day)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
12 March 2025 (1 Day)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
HDP Overview: Apache Hadoop Essentials Training Course in Hong Kong

Hong Kong is officially known as the Hong Kong Special Administrative Region of the People's Republic of China (HKSAR) and is a city and special administrative region of China on the eastern Pearl River Delta in South China. Hong Kong is one of the most densely populated places in the world, with over 7.5 million population. The official languages of the HKSAR are Chinese and English. Hong Kong is a highly developed territory and ranks fourth on the United Nations Human Development Index and the residents of Hong Kong have the highest life expectancies in the world.

The best time to visit Hong Kong is from September to December, since the temperatures, averaging between 19 to 28 degree Celsius. During this outdoor activities-friendly travelling season, you can take a walk along Victoria Harbour, visit the islands of Lantau, Lamma and Cheung Chau and participate in the Mid-Autumn Festival. Top choices of the tourists to visit in Hong Kong are Big Buddha statue, Wong Tai Sin Temple, Repulse Bay and the Beaches and Hong Kong Disneyland.

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