FAQ

Building Streaming Data Analytics Solutions on AWS Course Overview

Building Streaming Data Analytics Solutions on AWS Course Overview

The "Building Streaming data analytics Solutions on AWS" course is designed to empower learners with the knowledge to create Real-time analytics solutions using AWS streaming services. It begins with Module 1, providing an insight into various data analytics use cases and the role of Data pipelines in analytics. The course then progresses into Module 2, emphasizing the significance of Streaming data analytics and the intricacies of the Streaming analytics pipeline.

As learners move to Module 3, they are introduced to AWS's suite of streaming services, including Amazon Kinesis and Amazon MSK, with practical demonstrations and labs. Subsequent modules delve deeper into using Amazon Kinesis and Amazon MSK for Data ingestion, transformation, and Real-time analytics. Best practices for security, monitoring, and optimization are highlighted to ensure efficient and secure data workflows.

Towards the end, Module 8 challenges learners to design Streaming data analytics workflows, and Module 9 broadens the horizon with Modern data architectures. By completing this course, participants will gain hands-on experience in building scalable, robust Streaming data analytics solutions on AWS, harnessing the power of real-time data for actionable insights.
CoursePage_session_icon 

Successfully delivered 10 sessions for over 240 professionals

Intermediate

Purchase This Course

USD

675

View Fees Breakdown

Course Fee 675
Total Fees
(without exam)
675 (USD)
  • Live Training (Duration : 8 Hours)
  • Per Participant
  • Includes Official Coursebook
  • Guaranteed-to-Run (GTR)
  • Classroom Training fee on request
  • Select Date
    date-img
  • CST(united states) date-img

Select Time


♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

  • Live Training (Duration : 8 Hours)
  • Per Participant
  • Classroom Training fee on request
  • Includes Official Coursebook
Koeing Learning Stack

Koenig Learning Stack

Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

Scroll to view more course dates

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

Request More Information

Email:  WhatsApp:

Course Prerequisites

To ensure a successful learning experience in the Building Streaming Data Analytics Solutions on AWS course, participants should meet the following minimum prerequisites:


  • Basic understanding of data analytics concepts and the significance of real-time data processing.
  • Familiarity with the concept of a data pipeline and its role in data analytics.
  • Working knowledge of AWS core services, particularly those related to compute, storage, and networking.
  • Experience with AWS management console and AWS CLI (Command Line Interface).
  • Some familiarity with big data technologies and services available on AWS is recommended but not mandatory.
  • Basic proficiency in a programming language such as Python, Java, or Scala, as the course may involve writing code snippets or scripts.
  • Understanding of distributed systems and database concepts.
  • Enthusiasm to learn about streaming data and real-time analytics solutions.

Please note that these prerequisites are meant to provide a foundation for the course material. The course is designed to guide you through more advanced concepts, building on the knowledge you bring.


Target Audience for Building Streaming Data Analytics Solutions on AWS

"Building Streaming Data Analytics Solutions on AWS" is a course designed for IT professionals looking to harness the power of AWS for real-time data analytics.


  • Data Engineers
  • Cloud Solutions Architects
  • Data Analysts
  • IT Professionals interested in data analytics
  • Software Developers with a focus on analytics applications
  • DevOps Engineers working with data-intensive workflows
  • Technical Project Managers overseeing analytics projects
  • System Administrators aiming to upgrade their analytics toolsets
  • Business Intelligence (BI) Professionals seeking to leverage streaming data
  • Data Scientists requiring real-time data for predictive modeling
  • AWS Certified Professionals aiming to specialize in streaming data solutions
  • Database Administrators expanding their skills to cloud-based streaming analytics
  • Enterprise Architects designing modern data architectures on AWS
  • Technical Leads managing teams building analytics solutions on cloud platforms


Learning Objectives - What you will Learn in this Building Streaming Data Analytics Solutions on AWS?

Introduction to Learning Outcomes:

Gain proficiency in AWS streaming data services for real-time analytics. Learn how to build, secure, monitor, and optimize streaming solutions to extract actionable insights.

Learning Objectives and Outcomes:

  • Understand different data analytics use cases and the role of data pipelines.
  • Learn the significance of streaming data analytics and the components of a streaming data analytics pipeline.
  • Acquire knowledge of AWS streaming services, including Amazon Kinesis and Amazon Managed Streaming for Apache Kafka (Amazon MSK).
  • Set up and manage Amazon Kinesis Data Streams for real-time data ingestion and processing.
  • Develop the skills to create and deploy applications using Amazon Kinesis Data Analytics and Apache Flink.
  • Explore and utilize Spark Streaming for complex analytics workflows on AWS.
  • Implement security best practices and monitoring for Amazon Kinesis and Amazon MSK to ensure data integrity and system health.
  • Optimize the performance of Amazon Kinesis and Amazon MSK to handle large-scale streaming data efficiently.
  • Design robust streaming data analytics solutions tailored to specific business use cases.
  • Understand modern data architectures on AWS, enabling the integration of streaming data solutions into a broader data strategy.

Suggested Courses

What other information would you like to see on this page?
USD