BUILDING STREAMING DATA ANALYTICS SOLUTIONS ON AWS
- Description
- Reviews
Course Overview
Introduction
This course equips corporate IT teams with the knowledge and skills to design and implement real-time data analytics solutions using AWS services. Participants will learn how to process and analyze continuous data streams for real-time insights and business intelligence.
Business Relevance
Organizations need real-time data processing to enhance decision-making, improve operational efficiency, and detect anomalies instantly. This training helps IT teams build scalable, resilient, and high-performance streaming analytics solutions.
Target Area
Real-time data analytics, cloud-based event processing, and enterprise IT optimization.
What You’ll Learn & Who Should Enroll
Key Topics Covered:
- AWS Streaming Data Services: Overview of Amazon Kinesis, AWS Glue, and AWS Lambda for processing real-time data.
- Building Scalable Streaming Pipelines: Designing fault-tolerant and high-performance data ingestion workflows.
- Data Security & Compliance: Implementing encryption, access control, and regulatory best practices for streaming data.
- Real-Time Data Processing & Analytics: Utilizing AWS analytics tools like Kinesis Data Analytics, Redshift Streaming, and Amazon OpenSearch.
- Business Applications of Streaming Data: Use cases on how enterprises leverage real-time analytics for predictive insights.
Ideal Participants:
This course is designed for:
- Cloud Architects & Data Engineers: Build and manage real-time AWS streaming data solutions.
- IT Managers & Decision Makers: Improve enterprise-wide data strategy and agility.
- Enterprise IT Teams: Implement cost-effective, scalable real-time analytics.
- Security & Compliance Officers: Ensure governance and protection of streaming data.
Business Applications & Next Steps
Key Business Impact:
- Enhanced Security & Compliance: Implement robust security measures for real-time data.
- Improved IT Governance: Establish best practices for managing streaming data environments.
- Operational Efficiency: Drive digital transformation with real-time insights and automation.
Next-Level Training:
Expand your expertise with:
- Building Data Lakes on AWS Training: Learn how to centralize, store, and manage vast amounts of structured and unstructured data efficiently.
- Building Batch Data Analytics Solutions on AWS: Master batch processing techniques to optimize data pipelines and analyze historical data at scale.
Why Choose Acumen IT Training?
- Enterprise-Focused Curriculum: Designed specifically for the challenges and demands of corporate IT environments.
- Instructor-Led Training: Learn from seasoned industry professionals with extensive real-world experience.
- Business-Driven Learning: Benefit from practical applications that directly impact your organization’s performance.
- Flexible Training Options: Choose from Online, Hybrid Training, Instructor-Led On-Site (at your location or ours), and Corporate Group Sessions.
For the full course outline, schedules, and private corporate training inquiries, contact us at Acumen IT Training.
Course Outline
COURSE OBJECTIVES
- 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
TRAINING INCLUSIONS
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Comprehensive training materials and reference guides.
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Hands-on lab exercises with real-world AWS streaming data scenarios.
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Building Streaming Data Analytics Solutions on AWS Certificate of Training Completion.
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Access to AWS real-time data processing tools during training.
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30 Days Post-Training Support.
COURSE OUTLINE
Module A: Overview of Data Analytics and the Data Pipeline
Module 1: Using Streaming Services in the Data Analytics Pipeline
Module 2: Introduction to AWS Streaming Services
Module 3: Using Amazon Kinesis for Real-time Data Analytics
Module 4: Securing, Monitoring, and Optimizing Amazon Kinesis
Module 5: Using Amazon MSK in Streaming Data Analytics Solutions
Module 6: Securing, Monitoring, and Optimizing Amazon MSK
Module 7: Designing Streaming Data Analytics Solutions
Module B: Developing Modern Data Architectures on AWS
For FULL COURSE OUTLINE, please contact us.
Inquire now for schedules and private class bookings.
FAQs
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What is this training about?
This course teaches you how to design, deploy, and manage real-time data analytics solutions on AWS. -
Who should take this course?
Data engineers, cloud architects, and anyone handling high-velocity data streams. -
Do I need prior AWS experience?
Basic knowledge of AWS services and data analytics is recommended. -
What AWS services will I learn?
Amazon Kinesis, AWS Lambda, Amazon Redshift, Amazon S3, AWS Glue, and Amazon Elasticsearch Service. -
How long is the training?
Typically last for one day. -
Is this training available online?
Yes, both online and in-person options are available. -
Does this training include an AWS certification?
No, but it prepares you for AWS Certified Data Analytics – Specialty. -
How will this help my career?
You’ll gain expertise in real-time analytics, making you a valuable asset for data-driven companies. -
What problems can I solve with this training?
You’ll learn to process, analyze, and visualize streaming data in industries like finance, healthcare, and e-commerce. -
Why is real-time analytics important?
Real-time insights help businesses react instantly to events, detect fraud, and enhance customer experience.
Real-World Applications of Building Streaming Data Analytics Solutions on AWS
✅ Case Study 1: Real-Time Fraud Detection in Banking
Challenge: A bank needed to detect fraudulent transactions instantly to prevent financial losses.
Solution: They implemented Amazon Kinesis for real-time data ingestion, AWS Lambda for processing, and Amazon Elasticsearch for fraud pattern detection.
Result:
✔ 90% reduction in fraud-related financial losses
✔ Instant detection and response to suspicious transactions
✔ Improved security compliance
✅ Case Study 2: Live Customer Engagement in E-Commerce
Challenge: An online retailer wanted to personalize recommendations based on real-time customer activity.
Solution: They used Amazon Kinesis Data Streams to collect user activity data, AWS Glue for transformation, and Amazon Redshift for analytics.
Result:
✔ 20% increase in sales from personalized recommendations
✔ Real-time insights into customer behavior
✔ Enhanced customer experience and engagement
✅ Use Case 1: Smart Healthcare Monitoring
Hospitals use real-time analytics to monitor patient vitals and detect emergencies.
✔ Instant alerts for critical conditions
✔ Faster decision-making for doctors
✔ Improved patient care and response time
✅ Use Case 2: Social Media Sentiment Analysis
Companies analyze live social media feeds to track brand sentiment and respond quickly.
✔ Real-time brand reputation management
✔ Improved customer engagement strategies
✔ Faster response to crises or viral trends
Why These Case Studies Matter for You
With the rise of big data and AI, real-time analytics is essential for businesses to stay competitive. Whether in finance, e-commerce, healthcare, or social media, mastering AWS streaming data solutions gives you an edge in data-driven decision-making.
🔗 Enroll today and take the next step in mastering AWS streaming analytics!
Testimonials: What Professionals Say About Our Building Streaming Data Analytics Solutions on AWS Training
⭐ ⭐ ⭐ ⭐ ⭐ “Game-Changer for Our Data Team!”
“This training helped us build real-time analytics pipelines for fraud detection!”
— Tristan S., Data Engineer
⭐ ⭐ ⭐ ⭐ ⭐ “A Must for Anyone Working with Live Data!”
“We now analyze customer behavior instantly, improving our recommendations and sales!”
— Grace D., E-commerce Data Lead
⭐ ⭐ ⭐ ⭐ ⭐ “Excellent Hands-On Experience!”
“The practical labs helped me apply AWS streaming services to real-world projects.”
— Ken T., Cloud Architect
