Building Streaming Data Analytics Solutions on AWS Training in Hong Kong

  • Learn via: Classroom
  • Duration: 1 Day
  • Level: Expert
  • Price: From €1,098+VAT
We can host this training at your preferred location. Contact us!

  • Students with a minimum one-year experience managing data analytics solutions or streaming data will benefit from this course
  • We suggest the Streaming Data Solutions on AWS whitepaper for those that need a refresher on streaming concepts

We recommend that attendees of this course have:

  • Completed either Architecting on AWS or Data Analytics Fundamentals
  • Completed Building Data Lakes on AWS

  • Understand the features and benefits of a modern data architecture. Learn how AWS streaming services fit into a modern data architecture.
  • Design and implement a streaming data analytics solution
  • Identify and apply appropriate techniques, such as compression, sharding, and partitioning, to optimize data storage
  • Select and deploy appropriate options to ingest, transform, and store real-time and near real-time data
  • Choose the appropriate streams, clusters, topics, scaling approach, and network topology for a particular business use case
  • Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights
  • Secure streaming data at rest and in transit
  • Monitor analytics workloads to identify and remediate problems
  • Apply cost management best practices

Module A: Overview of Data Analytics and the Data Pipeline

  • Data analytics use cases
  • Using the data pipeline for analytics

Module 1: Using Streaming Services in the Data Analytics Pipeline

  • The importance of streaming data analytics
  • The streaming data analytics pipeline
  • Streaming concepts

Module 2: Introduction to AWS Streaming Services

  • Streaming data services in AWS
  • Amazon Kinesis in analytics solutions
  • Demonstration: Explore Amazon Kinesis Data Streams
  • Practice Lab: Setting up a streaming delivery pipeline with Amazon Kinesis
  • Using Amazon Kinesis Data Analytics
  • Introduction to Amazon MSK
  • Overview of Spark Streaming

Module 3: Using Amazon Kinesis for Real-time Data Analytics

  • Exploring Amazon Kinesis using a clickstream workload
  • Creating Kinesis data and delivery streams
  • Demonstration: Understanding producers and consumers
  • Building stream producers
  • Building stream consumers
  • Building and deploying Flink applications in Kinesis Data Analytics
  • Demonstration: Explore Zeppelin notebooks for Kinesis Data Analytics
  • Practice Lab: Streaming analytics with Amazon Kinesis Data Analytics and Apache Flink

Module 4: Securing, Monitoring, and Optimizing Amazon Kinesis

  • Optimize Amazon Kinesis to gain actionable business insights
  • Security and monitoring best practices

Module 5: Using Amazon MSK in Streaming Data Analytics Solutions

  • Use cases for Amazon MSK
  • Creating MSK clusters
  • Demonstration: Provisioning an MSK Cluster
  • Ingesting data into Amazon MSK
  • Practice Lab: Introduction to access control with Amazon MSK
  • Transforming and processing in Amazon MSK

Module 6: Securing, Monitoring, and Optimizing Amazon MSK

  • Optimizing Amazon MSK
  • Demonstration: Scaling up Amazon MSK storage
  • Practice Lab: Amazon MSK streaming pipeline and application deployment
  • Security and monitoring
  • Demonstration: Monitoring an MSK cluster

Module 7: Designing Streaming Data Analytics Solutions

  • Use case review
  • Class Exercise: Designing a streaming data analytics workflow

Module B: Developing Modern Data Architectures on AWS

  • Modern data architectures



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.

02 January 2025 (1 Day)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
02 January 2025 (1 Day)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
02 February 2025 (1 Day)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
02 February 2025 (1 Day)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
21 March 2025 (1 Day)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
15 April 2025 (1 Day)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
21 March 2025 (1 Day)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
17 April 2025 (1 Day)
Hong Kong, Kowloon, Tsuen Wan
Classroom / Virtual Classroom
Building Streaming Data Analytics Solutions on AWS 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.

Explore our diverse range of IT courses, encompassing programming, software development, cyber security, data science, business skills, and Agile/Scrum. Wherever you are in Hong Kong, our seasoned instructors will bring practical training and expert knowledge to your preferred training venue.
By using this website you agree to let us use cookies. For further information about our use of cookies, check out our Cookie Policy.