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Building Streaming Data Analytics Solutions on AWS Intermediate

Building Streaming Data Analytics Solutions on AWS empowers engineers to design and implement high-velocity, real-time data pipelines using Amazon Kinesis and Amazon MSK. This course addresses the critical challenge of processing massive data streams at scale to drive immediate business insights. Learners gain essential skills for modern streaming architectures, preparing them for the AWS Certified Data Engineer – Associate certification. By choosing Koenig, you benefit from instructor-led live sessions and guaranteed-to-run batches, ensuring consistent learning. With official AWS-authorized courseware and 30-day lab access, you will master the tools required to excel in today's data-driven market.

8 Hours (1 Days)
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240+ professionals trained

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1-on-1 USD 850
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Public Batch USD 650
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Course Overview

The Building Streaming Data Analytics Solutions on AWS course by AWS is designed for data engineers, solutions architects, and developers responsible for building and managing real-time data analytics pipelines. This intermediate-level training directly supports preparation for the AWS Certified Data Analytics – Specialty certification, a credential recognized for validating deep expertise in designing and maintaining scalable analytics systems on AWS. Professionals with at least one year of experience in data analytics or streaming applications will benefit most. With 80% of Fortune 100 companies now leveraging AWS for data workloads, demand for certified experts who can implement modern streaming architectures is growing rapidly across industries.

Participants in this course gain hands-on experience with core AWS streaming technologies, including Amazon Kinesis Data Streams, Amazon Managed Streaming for Apache Kafka (Amazon MSK), AWS Glue, AWS Lambda, Amazon Kinesis Data Analytics, and Amazon S3. Through instructor-led labs in the AWS Console, students build end-to-end streaming pipelines, such as configuring a clickstream analytics workflow using Kinesis Data Streams and processing real-time data with Apache Flink in Kinesis Data Analytics. A key lab involves deploying a secure, scalable MSK cluster, ingesting data, and applying transformation logic to simulate real-world telemetry monitoring. These exercises reinforce best practices in data ingestion, stream processing, storage optimization, and security within a live AWS environment.

This course prepares learners for the AWS Certified Data Analytics – Specialty exam, a credential that signals mastery in building cloud-native analytics solutions and is increasingly preferred by employers in data-driven sectors. Certified professionals report average salary increases of $20,000, with mid-level data engineers earning between $130,000 and $155,000 annually. Koenig Solutions enhances this learning path with Guaranteed-to-Run scheduling, 1-on-1 instructor support, and official AWS courseware, ensuring flexibility and deep comprehension. Completing this training empowers individuals to lead high-impact projects involving real-time analytics, positioning them for advancement into senior data engineering or analytics architecture roles.

What You'll Learn

Learn to design and implement a comprehensive streaming data analytics solution on AWS, gaining skills to process large-scale real-time data efficiently
Configure AWS streaming data ingestion using Amazon Kinesis to ensure reliable and scalable data flow for analytics projects
Deploy and scale Amazon MSK clusters for real-time processing, enabling seamless handling of high-volume data streams
Optimize data storage in Amazon Kinesis with effective partitioning and compression techniques to improve performance and reduce costs
Secure streaming data at rest and in transit on AWS, protecting sensitive information throughout the analytics pipeline
Monitor and troubleshoot Amazon MSK and Kinesis performance to maintain high availability and fast data processing

Skills You'll Gain

Streaming Data Analytics Amazon Kinesis Amazon MSK Real-time Data Processing AWS Lambda Data Pipeline Design Kinesis Data Streams Apache Kafka AWS Glue Stream Processing Event-driven Architecture Data Ingestion Stream Monitoring Streaming Security Cost Optimization Amazon Kinesis Data Analytics Flink Applications

Prerequisites

Recommended knowledge before taking this course
  • Completion of the Building Streaming Data Analytics Solutions on AWS course, along with the Architecting on AWS or Data Analytics Fundamentals courses, provides a strong foundation in AWS data solutions
  • Completion of the Building Data Lakes on AWS course enhances your ability to manage large-scale data storage and processing on AWS
  • At least one year of hands-on experience managing data analytics or streaming data solutions on AWS ensures practical expertise
  • Familiarity with core AWS services such as Amazon Kinesis, AWS Glue, and Amazon S3 is essential for building scalable streaming analytics
  • Understanding streaming data concepts like event ingestion, real-time processing, and storage patterns is crucial for effective analytics solutions
  • Experience designing data pipelines with tools like Apache Flink or Amazon Kinesis Data Analytics enables you to implement real-time data processing on AWS
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Certification Exam

Everything you need to know about the Building Streaming Data Analytics Solutions on AWS certification exam

Exam Details
Exam Name
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
14 days
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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Building Streaming Data Analytics Solutions on AWS Fundamentals
Real-world data analytics use cases Optimizing data pipelines for analytics Value of streaming data analytics The streaming data analytics pipeline Core streaming data concepts AWS streaming data service overview Amazon Kinesis for analytics solutions Demo: Exploring Amazon Kinesis Data Streams
2
Day 2– Building Streaming Pipelines with Amazon Kinesis
Lab: Deploying Amazon Kinesis delivery pipelines Leveraging Amazon Kinesis Data Analytics Introduction to Amazon MSK architecture Overview of Spark Streaming frameworks Analyzing clickstream workloads with Kinesis Provisioning Kinesis data and delivery streams Demo: Mastering producers and consumers Developing efficient stream producers
3
Day 3– Real-time Analytics with Kinesis Data Analytics
Developing robust stream consumers Deploying Flink apps in Kinesis Analytics Demo: Zeppelin notebooks for Kinesis Lab: Analytics with Kinesis and Apache Flink Optimizing Kinesis for business insights Security and monitoring best practices Strategic use cases for Amazon MSK Provisioning high-performance MSK clusters
4
Day 4– Implementing and Securing Amazon MSK
Demo: Provisioning an MSK Cluster Ingesting data into Amazon MSK streams Lab: Access control for Amazon MSK Transforming data within Amazon MSK Optimizing Amazon MSK performance Demo: Scaling Amazon MSK storage capacity Lab: MSK pipeline and app deployment Advanced security and cluster monitoring
5
Day 5– Designing End-to-End Streaming Solutions
Demo: Monitoring Amazon MSK clusters Modern data architecture design principles Comprehensive streaming use case review Exercise: Designing streaming analytics workflows Comparing warehouses, lakes, and architectures Selecting ingestion and storage options Applying compression for optimal performance Designing secure, scalable streaming solutions

What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Career Outcomes

82%

of Building Streaming Data Analytics Solutions on AWS certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the Building Streaming Data Analytics Solutions on AWS certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • Data Engineer
  • Solutions Architect
  • Data Platform Engineer
  • Streaming Data Architect
  • Cloud Data Developer
  • Real-Time Analytics Engineer

Companies Hiring

5,000+
Amazon Microsoft Google Cloud Accenture Deloitte Booz Allen Hamilton JPMorgan Chase Netflix Uber Capital One

and 5,000+ organizations worldwide seeking Building Streaming Data Analytics Solutions on AWS certified professionals

Real Transformations

Course Student Reviews

Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.

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    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

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    Carlos R.

    Carlos R.

    Engineering Manager

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  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

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    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified

Frequently Asked Questions

Everything you need to know about the Building Streaming Data Analytics Solutions on AWS training course

Is the AWS certification exam included in the Building Streaming Data Analytics Solutions on AWS course, and what is the exam fee if separate?
The certification exam is not included in the Building Streaming Data Analytics Solutions on AWS course. You must purchase it separately for $300 USD. Obtain your exam voucher via AWS Skill Builder. We recommend the AWS Certified Data Analytics – Specialty credential after finishing this training.
What training formats are available for Building Streaming Data Analytics Solutions on AWS, and does Koenig offer Guaranteed-to-Run scheduling?
Koenig provides Building Streaming Data Analytics Solutions on AWS via live online 1-on-1 and classroom sessions. Our Guaranteed-to-Run scheduling ensures your class proceeds as planned. AWS-authorized instructors deliver these sessions, featuring hands-on labs and flexible timing options for global learners.
How long is lab access provided for Building Streaming Data Analytics Solutions on AWS, and what environment is used?
You receive 30 days of lab access for Building Streaming Data Analytics Solutions on AWS through AWS Builder Labs. This cloud-based sandbox uses your Amazon Builder ID to access live AWS services. Gain secure, hands-on experience with Amazon Kinesis and MSK without local configuration.
What is Koenig's rescheduling and cancellation policy for the Building Streaming Data Analytics Solutions on AWS course?
Reschedule your Building Streaming Data Analytics Solutions on AWS course for free if you notify us over 24 hours before start time. Cancellations within 24 hours incur a 15% fee. You may reschedule once at no cost by contacting our expert training advisors.
What is the format, number of questions, passing score, and time limit for the AWS Certified Data Analytics – Specialty exam?
The AWS Certified Data Analytics – Specialty exam features 65 questions, a 180-minute time limit, and a 750/1000 passing score. It validates your expertise in data collection, processing, and security. Expect scenario-based questions covering AWS services like Kinesis and MSK.
How long is the AWS Certified Data Analytics – Specialty certification valid, and what is the renewal process and cost?
Your AWS Certified Data Analytics – Specialty certification remains valid for three years. Renew by passing the latest exam or using the AWS Skill Builder path. Retakes cost $300, though certified professionals can access a 50% discount voucher in their AWS Certification account.
What post-training support does Koenig provide after completing Building Streaming Data Analytics Solutions on AWS?
After Building Streaming Data Analytics Solutions on AWS, Koenig offers 6 months of mentorship. Access updated course materials and our community forums. We provide personalized exam guidance, resume support, and retake discounts to ensure your long-term professional success.
What are the prerequisites or prior experience needed for the Building Streaming Data Analytics Solutions on AWS course?
For Building Streaming Data Analytics Solutions on AWS, we require one year of data analytics experience. Complete Architecting on AWS and Building Data Lakes on AWS first. Reviewing the AWS Streaming Data Solutions whitepaper is also highly recommended before starting.
What is the average salary impact or career benefit for professionals who complete the Building Streaming Data Analytics Solutions on AWS course?
Graduates of Building Streaming Data Analytics Solutions on AWS often earn $135,000–$155,000 annually, with senior roles hitting $170,000. Mastering Kinesis and MSK positions you for high-demand Data Engineer or Solutions Architect roles within top-tier cloud-native and fintech organizations.
How does instructor-led training for Building Streaming Data Analytics Solutions on AWS compare to self-study in terms of effectiveness and outcomes?
Instructor-led Building Streaming Data Analytics Solutions on AWS training boosts exam readiness by 40% over self-study. Benefit from live Q&A, expert feedback, and guided labs. This structured approach ensures faster, deeper mastery of Kinesis and MSK for real-world production success.
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