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Building Streaming Data Analytics Solutions on AWS Certification Training
This 1-day Building Streaming Data Analytics Solutions on AWS course equips you with the essential skills to harness the power of streaming data on the AWS platform. By taking this course, you will explore cutting-edge techniques to ingest, process, and analyze real-time data str
Building Streaming Data Analytics Solutions on AWS Certification Train
Hands-on training with practical applications
Regular mock tests
24*7 training assistance
Course Overview
This Building Streaming Data Analytics Solutions on AWS course is designed to equip participants with the essential knowledge and skills required to harness the power of streaming data analytics on the Amazon Web Services (AWS) platform. Throughout this comprehensive program, participants will delve into the core concepts, tools, and best practices necessary to architect, implement, and optimize streaming data analytics solutions effectively.
The course begins with an exploration of foundational principles, covering key AWS services such as Amazon Kinesis and AWS Lambda. Participants will gain a deep understanding of how to ingest, process, and analyze streaming data in real-time, enabling them to derive actionable insights from dynamic data streams.
As the course progresses, participants will dive into advanced topics, including stream processing architectures, fault tolerance, and scalability considerations. Hands-on labs and practical exercises will provide participants with valuable hands-on experience, allowing them to apply their newfound knowledge in real-world scenarios.
By the end of the course, participants will have the expertise to design and deploy robust streaming data analytics solutions on AWS, empowering them to drive data-driven decision-making processes and extract maximum value from their streaming data sources. Whether you're a data engineer, developer, or solution architect, this course will elevate your skills and enable you to excel in the rapidly evolving field of streaming data analytics on AWS.
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Course Objectives
Upon completing the course, you will be able to:
• Understand the fundamental concepts of streaming data analytics and its significance in modern data-driven environments.
• Master the utilization of AWS services such as Amazon Kinesis for ingesting, processing, and analyzing streaming data in real-time.
• Develop proficiency in architecting scalable and fault-tolerant streaming data analytics solutions on the AWS platform.
• Gain hands-on experience in designing and implementing stream processing architectures to extract actionable insights from dynamic data streams.
• Learn advanced techniques for optimizing streaming data analytics solutions for performance and cost-effectiveness.
• Explore best practices for managing and monitoring streaming data pipelines on AWS to ensure reliability and efficiency.
• Acquire the skills to integrate streaming data analytics solutions with other AWS services and third-party tools for comprehensive data processing workflows.
• Enhance your ability to troubleshoot and debug issues in streaming data analytics pipelines on AWS.
• Apply security best practices to protect sensitive data and ensure compliance with regulatory requirements in streaming data analytics environments.
• Develop the confidence to leverage streaming data analytics to drive data-driven decision-making processes and unlock business value for organizations.
Skills You Will Acquire:
• Amazon Kinesis proficiency.
• Fault-tolerant architecture design.
• Optimization for performance and cost.
• Integration with AWS services.
• Security best practices.
Audience
• Data Engineers
• Software Developers
• Solution Architects
• Data Analysts
• Data Scientists
• System Administrators
• IT Managers
• Business Intelligence Professionals
• Database Administrators
• Cloud Architects
Prerequisite
• Minimum one year of experience in data analytics or building real-time applications/streaming analytics solutions.
• Familiarity with constructing Data Lakes on AWS.
• Recommended background in Architecting on AWS.
Course Outline
Module A: Overview of Data Analytics and the Data Pipeline
• Data analytics applications
• Leveraging the data pipeline for analytics
Module 1: Using Streaming Services in the Data Analytics Pipeline
• The significance of real-time data analytics
• The data streaming analytics pipeline
• Streaming principles
Module 2: Introduction to AWS Streaming Services
• AWS streaming data services
• Amazon Kinesis for analytics solutions
• Demo: Discovering Amazon Kinesis Data Streams
• Lab Exercise: Establishing a streaming delivery pipeline with Amazon Kinesis
• Utilizing Amazon Kinesis Data Analytics
• Introduction to Amazon Managed Streaming for Kafka (MSK)
• Spark Streaming overview
Module 3: Using Amazon Kinesis for Real-time Data Analytics
• Exploring Amazon Kinesis with a clickstream workload
• Establishing Kinesis data and delivery streams
• Demo: Exploring producers and consumers
• Developing stream producers
• Developing stream consumers
• Creating and deploying Flink applications in Kinesis Data Analytics
• Demo: Utilizing Zeppelin notebooks for Kinesis Data Analytics
• Lab Exercise: Performing streaming analytics with Amazon Kinesis Data Analytics and Apache Flink
Module 4: Securing, Monitoring, and Optimizing Amazon Kinesis
• Maximize Amazon Kinesis for actionable business insights
• Best practices for security and monitoring
Module 5: Using Amazon MSK in Streaming Data Analytics Solutions
• Amazon MSK application scenarios
• Establishing MSK clusters
• Demo: Setting up an MSK Cluster
• Data ingestion into Amazon MSK
• Lab Exercise: Introduction to access control with Amazon MSK
• Data transformation and processing in Amazon MSK
Module 6: Securing, Monitoring, and Optimizing Amazon MSK
• Maximizing Amazon MSK performance
• Demo: Scaling Amazon MSK storage capacity
• Lab Exercise: Deploying an Amazon MSK streaming pipeline and application
• Security and surveillance
• Demo: Monitoring an Amazon MSK cluster
Module 7: Designing Streaming Data Analytics Solutions
• Reviewing use cases
• Class Exercise: Crafting a streaming data analytics workflow
Module B: Developing Modern Data Architectures on AWS
• Contemporary data architecture
About the Examination
Exam Overview:
- Length: 180 minutes to finish the test.
- Format: Either MCQ or multiple response, 65 questions.
- Delivery: Pearson VUE testing center or online proctored exam.
Choose Your Preferred Mode
Online Training
- 1 days Instructor led Online Training
- Experienced Subject Matter Experts
- Approved and Quality Ensured training Material
- 24*7 leaner assistance and support
Corporate Training
- Customized Training Across Various Domains
- Instructor Led Skill Development Program
- Ensure Maximum ROI for Corporates
- 24*7 Learner Assistance and Support
FAQ’s
What distinguishes Amazon Kinesis from other streaming data services?
Amazon Kinesis offers a suite of services specifically designed for ingesting, processing, and analyzing real-time data streams at scale. Its managed infrastructure and integration with other AWS services make it a robust choice for building streaming data analytics solutions.
How will this course help me optimize Amazon Kinesis for my business needs?
This course will provide you with the skills and knowledge needed to effectively configure and optimize Amazon Kinesis for maximum performance and cost efficiency. You'll learn best practices for data ingestion, stream processing, and scalability, allowing you to gain actionable insights from your streaming data.
Is prior experience with AWS required for enrolling in this course?
While prior experience with AWS is beneficial, it's not mandatory. This course caters to learners at various proficiency levels and covers the fundamentals of Amazon Kinesis along with practical hands-on exercises.
What tools and techniques will I learn to use with Amazon Kinesis?
Throughout the course, you'll explore various tools and techniques for working with Amazon Kinesis, including stream producers and consumers, Flink applications, and Zeppelin notebooks for data analytics.
Will I receive guidance on security and monitoring practices for Amazon Kinesis?
Yes, security and monitoring are essential aspects of streaming data analytics, and this course covers best practices for securing your Amazon Kinesis environment and monitoring your data streams effectively.
How can I enroll in the course?
To enroll in the course, visit the Vinsys website or contact their enrollment team for registration details and course availability.
Can completing this course lead to any certifications?
While this course focuses on practical skills and knowledge, it can also serve as valuable preparation for AWS certifications related to data analytics and streaming services.
Will I have access to course materials and support after completing the course?
Yes, participants will have access to course materials, resources, and instructor support even after completing the course to further enhance their learning and address any queries they may have.
What background knowledge do I need to succeed in this course?
Familiarity with data analytics concepts and some experience with AWS services will be beneficial for getting the most out of this course. However, the course is designed to accommodate learners with varying levels of experience.
How will this course benefit my career in the field of streaming data analytics?
Mastery of Amazon Kinesis and streaming data analytics will enhance your skills and make you a valuable asset in the rapidly growing field of real-time data processing and analysis, opening up opportunities for career advancement and growth.
Why Vinsys
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Authorized Courseware
3,000+ Courses & 2,000+ Modules
In Synch with Tech-advancements
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Reviews
I enrolled in Vinsys' Building Streaming Data Analytics Solutions on AWS course and found it to be an exceptional learning experience. The instructors were incredibly knowledgeable and delivered the content in an engaging manner. The course structure was well-paced, covering a range of topics from foundational concepts to advanced techniques. The hands-on labs provided valuable practical experience, reinforcing the theoretical knowledge gained. By the end of the course, I felt equipped to design and implement streaming data analytics solutions confidently. I highly recommend this course to anyone looking to enhance their skills in this rapidly growing field.
Dean JoshIT Head
My experience with Vinsys' Building Streaming Data Analytics Solutions on AWS course was truly outstanding. The instructors were not only experts in their field but also adept at explaining complex concepts in a clear and understandable manner. The course material was comprehensive, covering everything from basic principles to advanced strategies. The practical exercises and real-world examples provided invaluable hands-on experience, enabling me to apply the concepts learned effectively. I feel much more confident in my ability to work with streaming data analytics solutions after completing this course. Thank you, Vinsys, for such a enriching learning experience!
Urvashi KhareSoftware Engineer
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