Big Data Practice

Master distributed data processing, scalability, and real-time analytics with industry-standard tools.

Start Practicing

What You'll Practice

Big data technologies and workflows for handling massive datasets

Distributed Systems

Learn how clusters and distributed architectures handle petabyte-scale data.

Start Cluster Simulation

Stream Processing

Process real-time data pipelines using Apache Flink and Kafka technologies.

Try Streaming Challenge

Data Warehousing

Build optimized data storage systems with Amazon Redshift and Snowflake.

Start Warehousing Exercise

Query Optimization

Optimize complex queries and data models for performance and scalability.

Begin Optimization Lab

Try Our Live Big Data Environment

Run Apache Spark, Hadoop, and Flink workflows in your browser.

Scala + Spark

Spark Output

Big Data Tools

Master industry-grade distributed computing platforms

Apache Hadoop

Distributed storage and processing framework for big data

Apache Flink

Real-time stream processing and event-driven applications

Apache Kafka

Event streaming and real-time data pipelines

Cloud Platforms

Work with AWS, Google Cloud, and Azure big data services

Practice Like a Pro

Our interactive big data environment provides:

Cluster Simulation

Practice distributed computing with mock Hadoop/YARN clusters.

Performance Metrics

See execution statistics and optimization suggestions.

Volume Tools

Practice handling terabytes/petabytes of data in simulated environments.