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Real-Time BI with Apache Druid, Kafka & Apache Pinot

Build ultra-fast analytics platforms with real-time ingestion and low-latency querying using Apache Druid, Kafka, and Apache Pinot for modern Business

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Course Duration: 10 Hours

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Real-Time BI with Apache Druid, Kafka & Apache Pinot is a specialized, self-paced course designed to empower data engineers, BI developers, and analytics professionals with the expertise to create high-performance, real-time analytics solutions. Traditional batch-based BI systems fall short in today’s fast-moving world of instant insights, where decision-makers demand live dashboards, anomaly detection, and real-time customer personalization. This course bridges that gap by teaching you how to integrate real-time ingestion with millisecond query latency using Apache Druid, Apache Kafka, and Apache Pinot.

The course begins by introducing the challenges and needs of real-time analytics: data latency, ingestion speed, concurrency, and storage scalability. It then deep dives into Kafka as a robust real-time data ingestion layer, Apache Druid for multidimensional OLAP-style querying, and Apache Pinot for low-latency real-time dashboard analytics. You’ll learn the architectural patterns behind streaming BI pipelines and build hands-on projects simulating fraud detection, e-commerce analytics, and real-time operations dashboards.

Through practical implementation, you’ll deploy ingestion pipelines from Kafka to Druid/Pinot, model time-series data, build ingestion specs, design indexing strategies, and optimize queries for massive data throughput. Whether you're replacing legacy BI systems or scaling modern streaming architectures, this course gives you the foundation and experience to succeed in real-world enterprise environments.

Using tools like Superset, Grafana, and Looker, you’ll also learn to visualize real-time insights, integrate APIs, and deploy scalable real-time data stacks on cloud infrastructure. If you're building the future of analytics where speed, scale, and interactivity are non-negotiable, this course is your gateway.

What is Real-Time BI with Druid, Kafka & Pinot?

Real-Time BI combines streaming data processing with ultra-low-latency querying to provide up-to-the-second insights. Apache Kafka enables real-time data ingestion. Apache Druid is a high-performance analytics database optimized for time-series and slice-and-dice queries. Apache Pinot specializes in serving OLAP queries at sub-second latency, powering dashboards at scale. Together, they form the backbone of modern analytics platforms used by Netflix, LinkedIn, Uber, and more.

How to Use This Course

Follow the course in the suggested order—starting with Kafka fundamentals and building up to full Druid and Pinot-based systems. Set up a local or cloud lab, install each component, and replicate the examples in Jupyter Notebooks or CLI. Use the hands-on labs and ingestion templates to build streaming pipelines. Integrate visualization tools to build responsive dashboards. As you complete each capstone, modify it for your own business or personal datasets for maximum impact.

Course/Topic 1 - Coming Soon

The videos for this course are being recorded freshly and should be available in a few days. Please contact info@uplatz.com to know the exact date of the release of this course.
01:20

Course Objectives Back to Top

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

Understand real-time analytics architecture and use cases.
Set up and configure Apache Kafka for real-time ingestion.
Ingest streaming data into Apache Druid and Apache Pinot.
Design ingestion specs and optimize segment indexing.
Configure real-time OLAP systems for sub-second queries.
Implement dashboards using Superset, Looker, or Grafana.
Query and analyze time-series and dimensional data at scale.
Optimize for concurrent queries and performance tuning.
Compare and contrast Druid vs. Pinot architectures.
Build and deploy real-time BI pipelines using open-source tools.

Course Syllabus Back to Top

Course Syllabus

Module 1: Introduction to Real-Time BI

Why real-time analytics?
Streaming vs. batch analytics
Real-time BI system architecture

Module 2: Apache Kafka Fundamentals

Kafka architecture and use cases
Producers, topics, consumers
Kafka Streams and schema registry

Module 3: Apache Druid Fundamentals

Druid architecture and storage layers
Real-time ingestion with Kafka
Druid indexing service and ingestion specs

Module 4: Apache Pinot Fundamentals

Pinot vs. Druid: comparison and use cases
Pinot architecture: server, broker, controller
Ingestion via Kafka and offline sources

Module 5: Real-Time Data Ingestion

Kafka Connect for integration
JSON/Avro ingestion in Druid
Real-time tables and hybrid tables in Pinot

Module 6: OLAP Querying & Segment Optimization

Multi-dimensional querying in Druid
Star-tree indexing in Pinot
Time-based rollups and aggregation techniques

Module 7: Visualization and BI Integration

Connecting Druid to Superset
Connecting Pinot to Looker/Grafana
Designing live dashboards

Module 8: Advanced Configurations and Tuning

Query concurrency and tuning
Caching and segment replication
Monitoring with metrics and alerts

Module 9: Capstone Project

Build a real-time analytics dashboard
Ingest Kafka stream and visualize in Superset
Simulate fraud detection or user behavior tracking

Module 10: Interview Preparation & Deployment

Deployment options (Kubernetes, AWS, GCP)
Security, authentication, and role-based access
Real-world architecture design walkthroughs

Certification Back to Top

Upon successful completion, learners will receive a Certificate of Completion from Uplatz, validating their ability to architect and implement real-time analytics platforms using Apache Druid, Kafka, and Pinot. This certification demonstrates your capability to handle live data pipelines, real-time ingestion, and millisecond-level querying—all critical for operational dashboards, IoT analytics, and fraud detection systems. It’s a powerful addition to your resume or LinkedIn profile and positions you as a real-time data practitioner ready for high-impact roles in analytics and infrastructure. The certification confirms both theoretical understanding and hands-on experience, making you job-ready for roles in data engineering, BI architecture, and analytics innovation.

Career & Jobs Back to Top

Real-time analytics is becoming mission-critical for enterprises across finance, e-commerce, logistics, social media, and gaming. The ability to process, analyze, and act on live data is transforming customer engagement, fraud detection, supply chain visibility, and operational intelligence.

This course prepares you for roles such as:

Real-Time Data Engineer
Streaming Data Architect
Analytics Platform Engineer
BI Developer (Real-Time Systems)
Kafka/Druid/Pinot Consultant
Cloud Data Solutions Architect

Major employers—Amazon, Netflix, Uber, Microsoft, Stripe, PayPal, and countless startups—are actively hiring professionals skilled in Apache Druid, Kafka, and Pinot to deliver high-concurrency dashboards and mission-critical insights. You'll be equipped to support use cases such as live A/B testing, anomaly detection, customer scoring, and sensor stream monitoring.

Real-time analytics professionals command premium salaries, often ₹20L to ₹45L+ in India or $120K–$180K in the US and Europe. Freelancers and consultants with these skills can also work on enterprise data stack modernization and cloud-native analytics projects. The combination of streaming ingestion, low-latency querying, and open-source expertise is rare and highly valued—putting you on a fast track for technical leadership roles in data and AI infrastructure teams.

Interview Questions Back to Top

1. What is the difference between Apache Druid and Apache Pinot?
Druid is optimized for multi-dimensional OLAP queries and time-series data, while Pinot is optimized for ultra-low-latency querying in dashboards and event-driven use cases.

2. How does Apache Kafka fit into a real-time BI stack?
Kafka acts as the data ingestion backbone, capturing real-time events and delivering them to analytics databases like Druid or Pinot for querying.

3. What is a segment in Druid or Pinot?
A segment is a shard of indexed data used for distributed querying. Efficient segmenting improves concurrency and reduces query latency.

4. How does real-time ingestion work in Apache Druid?
Kafka ingests events and streams them to Druid’s MiddleManager nodes, which create real-time segments that can be queried immediately.

5. What are hybrid tables in Apache Pinot?
Hybrid tables combine real-time and offline ingestion to allow complete querying over both recent and historical data.

6. How do you integrate BI tools with Druid or Pinot?
Druid can connect with Superset or Tableau via JDBC/SQL, while Pinot integrates with Looker or Grafana for live dashboards.

7. What is time-series rollup in Druid?
Rollup pre-aggregates metrics at defined time granularity to reduce storage and improve performance on repeated queries.

8. How does star-tree indexing help in Pinot?
Star-tree indexing accelerates aggregation queries by precomputing aggregations along various dimensions.

9. What are typical use cases for Apache Pinot?
Real-time dashboards, user analytics, personalization, metrics aggregation, and ad clickstream analysis.

10. How do you deploy a Druid or Pinot cluster in production?
Via Kubernetes, Docker, or cloud-native services with monitoring, load balancing, autoscaling, and secure access configurations.

Course Quiz Back to Top

Start Quiz

FAQs Back to Top

Q1. What are the payment options?
A1. We have multiple payment options: 1) Book your course on our webiste by clicking on Buy this course button on top right of this course page 2) Pay via Invoice using any credit or debit card 3) Pay to our UK or India bank account 4) If your HR or employer is making the payment, then we can send them an invoice to pay.

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A2. Yes, you will receive course completion certificate from Uplatz confirming that you have completed this course with Uplatz. Once you complete your learning please submit this for to request for your certificate https://training.uplatz.com/certificate-request.php

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Q17. Does your course guarantee a job?
A17. Our course is designed to provide you with a solid foundation in the subject and equip you with valuable skills. While the course is a significant step toward your career goals, its important to note that the job market can vary, and some positions might require additional certifications or experience. Remember that the job landscape is constantly evolving. We encourage you to continue learning and stay updated on industry trends even after completing the course. Many successful professionals combine formal education with ongoing self-improvement to excel in their careers. We are here to support you in your journey!

Q18. Do you provide placement services?
A18. While our course is designed to provide you with a comprehensive understanding of the subject, we currently do not offer placement services as part of the course package. Our main focus is on delivering high-quality education and equipping you with essential skills in this field. However, we understand that finding job opportunities is a crucial aspect of your career journey. We recommend exploring various avenues to enhance your job search:
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b) Networking: Attend industry events, workshops, and conferences to build connections with professionals in your field. Networking can often lead to job referrals and valuable insights.
c) Online Professional Network: Leverage platforms like LinkedIn, a reputable online professional network, to explore job opportunities that resonate with your skills and interests.
d) Online Job Platforms: Investigate prominent online job platforms in your region and submit applications for suitable positions considering both your prior experience and the newly acquired knowledge. e.g in UK the major job platforms are Reed, Indeed, CV library, Total Jobs, Linkedin.
While we may not offer placement services, we are here to support you in other ways. If you have any questions about the industry, job search strategies, or interview preparation, please dont hesitate to reach out. Remember that taking an active role in your job search process can lead to valuable experiences and opportunities.

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Q21. Can I get help from a tutor if I have doubts while learning from a video course?
A21. Tutor support is not available for our video course. If you believe you require assistance from a tutor, we recommend considering our live class option. Please contact our team for the most up-to-date availability. The pricing for live classes typically begins at USD 999 and may vary.