Talk to us
View Brochure
Register

Data Streaming

Online | Self-paced | Start Anytime
Advanced
Coming Soon

About the Course

This course covers the principles, tools, and technologies of real-time data streaming, enabling participants to process and analyze data as it is created. Through hands-on projects and practical examples, learners will explore key streaming platforms, data ingestion methods, and best practices for designing scalable and efficient streaming architectures.

Curriculum

  • Module 1: Introduction to Data Streaming

    Overview:

    This module introduces the core concepts of data streaming, its applications, and the differences between batch and real-time data processing.

    Topics to Cover:

    • What is data streaming and why it’s important
    • Real-time vs. batch processing: advantages and limitations
    • Common use cases for streaming (e.g., IoT, financial trading, fraud detection)

  • Module 2: Data Ingestion and Real-Time Data Sources

    Overview:

    Participants will learn about various data sources, ingestion methods, and best practices for capturing and managing real-time data.

    Topics to Cover:

    • Data ingestion tools and protocols (e.g., Kafka, Kinesis, MQTT)
    • Working with structured, semi-structured, and unstructured data
    • Best practices for managing data ingestion at scale

  • Module 3: Streaming Platforms and Tools

    Overview:

    This module covers the most widely-used data streaming platforms, helping participants select and implement the right tools for their use cases.

    Topics to Cover:

    • Overview of popular streaming platforms (Apache Kafka, Apache Flink, Apache Pulsar, AWS Kinesis)
    • Hands-on setup and configuration of a streaming platform
    • Message brokers and processing engines: comparing features and use cases

  • Module 4: Stream Processing and Transformation

    Overview:

    Participants will explore techniques for processing and transforming streaming data to derive meaningful insights in real-time.

    Topics to Cover:

    • Streaming transformation techniques (e.g., filtering, aggregating, joining streams)
    • Stream processing frameworks (e.g., Apache Spark Streaming, Apache Flink)
    • Handling windowed operations and event time processing

  • Module 5: Data Storage and Output in Real-Time Systems

    Overview:

    This module covers methods for storing and delivering processed streaming data to other systems or databases.

    Topics to Cover:

    • Storage options for real-time data (e.g., Cassandra, Elasticsearch, Amazon S3)
    • Sink connectors and delivery options
    • Considerations for low-latency data storage and retrieval

  • Module 6: Monitoring, Scaling, and Optimizing Streaming Applications

    Overview:

    Participants will learn best practices for monitoring and optimizing streaming applications to ensure reliability and scalability.

    Topics to Cover:

    • Monitoring tools and metrics for streaming platforms
    • Optimizing streaming pipelines for high throughput and low latency
    • Scaling streaming applications and handling failure recovery

  • Module 7: Security and Compliance in Data Streaming

    Overview:

    This module focuses on securing streaming data and ensuring compliance with data privacy and regulatory standards.

    Topics to Cover:

    • Access control, authentication, and encryption for streaming data
    • Data masking and anonymization for privacy protection
    • Compliance considerations in data streaming (GDPR, CCPA)

  • Module 8: Real-World Applications and Project

    Overview:

    In this capstone module, participants will apply their knowledge by designing and implementing a data streaming project tailored to a specific use case.

    Topics to Cover:

    • Project planning: defining real-time data goals and selecting appropriate tools
    • Implementing end-to-end streaming architecture
    • Presenting project findings and performance evaluation

Learning Outcomes

By the end of this course, participants will be able to:

  • Understand core concepts and use cases of data streaming.
  • Set up and manage data ingestion from real-time sources.
  • Design and implement stream processing workflows for real-time analytics.
  • Optimize streaming systems for performance, scalability, and reliability.
  • Apply best practices for security and compliance in streaming architectures.

Tools

Streaming platforms: Apache Kafka, Apache Flink, AWS Kinesis
Stream processing frameworks: Apache Spark Streaming, Apache Flink, Apache Storm
Storage and monitoring tools: Cassandra, Elasticsearch
Join the Waitlist
Your Name(Required)
Tell us about your learning objectives
HOW IT WORKS

Upgrade your skills with our short courses

Ranked #1 Data Training Program

4.9/5
4.96/5
4.95/5
4.95/5
student success

What our graduates are saying

I had an incredible experience at this data science bootcamp! Coming in with no prior knowledge, I was amazed at how quickly I gained a solid understanding of the field. The curriculum is intensive and hands-on, allowing me to learn real, applicable skills through working on real client projects. The staff are exceptionally supportive and always ready to help. This bootcamp truly transformed my career path, and I couldn’t be more grateful for the knowledge and confidence I’ve gained. Highly recommended for anyone looking to break into data science!

My experience was awesome. I was taught by professional data engineers who shared their insights based on their professional experience. The topics covered are relevant to what employers are looking for and I enjoyed hands-on projects. I learned all the skills I needed to be a data engineer and I got a full-time offer as a data engineer, thanks to the mentors from WecloudData. I highly recommend this program. I was able to land interviews at Amazon, Yelp, CI Financial e.t.c

Deciding to go with WeCloudData was one of the best decisions I made during my career switch. Their Bootcamps are intense but they get you where you need to go. The instructors are amazing and the TAs very knowledgeable. Their client projects taught me a lot even after the bootcamp was done. I was able to land my current job thanks to the skills and training from the course.

I had the pleasure of attending WeCloudData’s Data Fundamentals bootcamp, which was fantastic. The highly qualified instructors used cutting-edge teaching techniques that greatly facilitated understanding the logic of coding and programming. They carefully progressed us from fundamental to more complex subjects, avoiding any feeling of overload. I wholeheartedly endorse this course for anyone hoping to become a data analyst—it’stheonly one you’ll need. The teachers are very outstanding!

This bootcamp provided me with the necessary technical skills and industry knowledge to secure a data job. The instructors are knowledgeable and shared everything they know to help me achieve my goals. The TAs are resourceful and patient answering my questions. The projects in the bootcamp enhanced my knowledge and impressed interviews. This is a wonderful bootcamp if you are looking to either imporve your skills or switch career!

OUR ALUMNI ARE WORKING AT
Recommended if you're interested in Data Streaming
Learning Track

MLOps Engineer Track

Learning Track

Big Data Engineer Track

Learning Track

Cloud Engineer Track

Learning Track

Large Language Model (LLM) Engineer Track

Short Course

Data Migration

Short Course

Data Lake Architecture

Short Course

AI Autiomation and RPA

Short Course

Introduction to GitHub Actions

Career Track to Advance Your Career

Join our comprehensive career tracks designed to accelerate your professional growth and help you achieve your goals

Learn More

Unlock Your Potential with Expert Guidance

Our mentorship services provide personalized support and insights from industry experts to help you navigate your career journey with confidence

Learn More

Empower Your Workforce

Enhance your team’s skills and productivity with our tailored corporate training courses, designed to meet your organization’s unique needs

Learn More

FAQ

Frequently asked questions about the bootcamp

The course is structured into weekly modules, each containing video lectures, reading materials, assignments, and quizzes. You can complete the modules at your own pace, but we recommend following the weekly schedule to stay on track.

You can get support in multiple ways:

  • TA Support on Slack: Our teaching assistants are available on Slack to answer your questions and provide guidance.
  • Peer Community on Discord: Join our Discord community to discuss course topics, share ideas, and collaborate with fellow students.

TAs are available on Slack from 9 AM to 6 PM (ET) Monday to Friday. Outside these hours, you can still post your questions, and TAs will respond as soon as they are back online.

After enrolling in the course, you will receive an invitation link to join the Discord community. Follow the link to create an account or log in to your existing account.

The Discord community offers peer-to-peer support, where you can discuss course topics, share resources, collaborate on projects, and network with fellow learners

The optional mentoring service includes one-on-one sessions with an experienced mentor who can provide personalized guidance, feedback on your progress, and help you set and achieve your learning goals.

Please talk to our Program Advisors to sign up for Mentorship services for an additional cost

Yes, you will have lifetime access to the course materials, including any updates made to the content in the future.

We accept all major credit cards, PayPal, and bank transfers. You can choose your preferred payment method at checkout

Ready to kick start your career

Contact our advisors now to learn more about our programs and courses. They are here to answer all your questions and help you embark on a successful journey.

  • Find out which Track or Course best suits your needs and goals
  • Discuss tuition, financing and scholarship options
  • Learn more about WeCloudData extensive career services, 1-on-1 mentorship and ✨ Real Client Project ✨ opportunities
Inquire about our programs
Speak to our advisors

"*" indicates required fields

Name*
This field is for validation purposes and should be left unchanged.
WeCloudData

WeCloudData is the leading data science and AI academy. Our blended learning courses have helped thousands of learners and many enterprises make successful leaps in their data journeys.

Sign up for newsletter

"*" indicates required fields

This field is for validation purposes and should be left unchanged.
Programs
Corporate Services
Resources
Company
Let’s Connect!
Facebook-f Twitter Linkedin Instagram Meetup

Canada:

180 Bloor St W #1003

Toronto, ON, Canada M5S 2V6

US:

16192 Coastal Hwy

Lewes, DE 19958, USA

info@weclouddata.com

View our Data Streaming course package
This site is registered on wpml.org as a development site. Switch to a production site key to remove this banner.