Intermediate Big Data Bootcamp
Start your big data career for $299. This intensive 6-10 week bootcamp teaches you to design, build, and optimize data pipelines using industry-standard tools—no lengthy programs required.
What You'll Learn
Career-ready skills, mapped to real hiring outcomes.
- Build scalable data pipelines using Apache Spark and distributed computing frameworks
- Design and manage data warehouses with SQL optimization and partitioning strategies
- Implement real-time data streaming architectures using Kafka and event-driven systems
- Deploy and monitor data infrastructure on cloud platforms (AWS, GCP, or Azure)
- Extract business insights by writing advanced SQL queries and aggregation logic
- Automate data workflows using orchestration tools like Airflow and dbt
Course Curriculum
5 modules · structured, self-paced.
Module 01 Big Data Fundamentals & Architecture
- Distributed computing concepts
- HDFS and storage systems
- MapReduce vs. Spark comparison
- Cloud data ecosystems
Module 02 Apache Spark Deep Dive
- RDD, DataFrame, and Dataset APIs
- Lazy evaluation and optimization
- Shuffle operations and partitioning
- Performance tuning for large-scale jobs
Module 03 Data Warehousing & SQL at Scale
- Dimensional modeling and schemas
- Advanced SQL for analytics
- Indexing and query optimization
- Data quality and validation
Module 04 Real-Time Data & Streaming
- Apache Kafka architecture and producers/consumers
- Stream processing with Spark Streaming
- Lambda and Kappa architectures
- Real-time monitoring and alerting
Module 05 Production Pipelines & Orchestration
- Apache Airflow DAG design and scheduling
- dbt for data transformation
- CI/CD for data workflows
- Infrastructure as code and deployment
Who This Is For
Built for these professionals.
- 01 Data analysts with SQL experience ready to engineer scalable data systems and move beyond reporting.
- 02 Backend engineers wanting to specialize in big data architecture and data platform development.
- 03 Cloud engineers looking to deepen expertise in data infrastructure and pipeline orchestration.
- 04 Technical professionals transitioning into data engineering roles with foundational coding skills.
Common questions about this program.
Do I need Spark or Hadoop experience to start this bootcamp?
No. This is an intermediate bootcamp designed for professionals with basic programming or SQL knowledge. We cover Spark fundamentals in Module 2, but we assume you're comfortable with Python or Scala syntax and SQL joins before enrolling.
What projects will I build to add to my portfolio?
You'll design and deploy a real-time data pipeline using Kafka and Spark, build a production dbt transformation project, and create an Airflow DAG orchestrating multi-stage ETL workflows. All projects use realistic datasets and cloud environments.
Is this bootcamp compatible with my current full-time job?
Yes. Our 6-10 week timeline and flexible pacing allow you to balance work and learning. Live instructor sessions are recorded, and hands-on labs can be completed asynchronously. Most students dedicate 10-15 hours per week.
Which cloud platform do you teach—AWS, GCP, or Azure?
We cover deployment patterns and services across all three major clouds. You'll learn transferable concepts (data lakes, warehouses, streaming) and work with at least two cloud platforms during the bootcamp so you're cloud-agnostic.
Get Started Today
Ready to start your
big data career?
Enroll now and start building production-grade data systems in 6 weeks—guided by a 10-year industry veteran.