Learn Big Data

Learn Big Data with a comprehensive Learning Path designed for beginners. This collection of hands-on Big Data courses provides a systematic roadmap to master essential technologies and techniques. Gain practical experience in data analysis, processing, and management by working with large datasets and advanced tools through interactive, non-video exercises.

40 Skills|8 Courses

Hadoop for Beginners

Big Data

Learn Hadoop through 9 guided labs and 3 challenges. Manage HDFS files and permissions, understand MapReduce, submit YARN jobs, and diagnose common failures.

Completed 0 of 12 Labs

Your First Hadoop Lab

Understand Your Hadoop Environment

Manage the HDFS File Lifecycle

Prepare Files for a Batch Job

Organize a New Daily Data Drop

Follow a File through HDFS Blocks

Read and Fix Basic HDFS Permissions

Restore Access to a Shared Dataset

Understand Map, Shuffle, and Reduce

Submit and Inspect a YARN Batch Job

Diagnose Common Hadoop Job Problems

Complete a New Hadoop Batch Workflow

Hive for Beginners

Big DataDatabaseData Science

Learn Apache Hive with 8 guided labs and 2 challenges. Map CSV files to tables, query sales with SQL, join customer data, register partitions, and rebuild ORC reports.

Completed 0 of 10 Labs

Apache Kafka for Beginners

PythonBig Data

Learn Apache Kafka with 8 guided labs and 2 challenges. Publish keyed events, inspect partitions and consumer groups, replay records, and build bounded Python clients.

Completed 0 of 10 Labs

Apache Spark for Beginners

PythonBig DataData Science

Learn PySpark batch processing with 11 guided labs and 2 challenges. Read CSV and JSON, clean and join data, write partitioned Parquet, and submit reusable applications.

Completed 0 of 13 Labs

Restoring Files from HDFS Snapshots

ProjectBig Data

Create native HDFS recovery points and selectively restore approved files while preserving later work and real read-only sharing. Two guided labs and one independent challenge.

Completed 0 of 3 Labs

Updating a Hive Data Partition

ProjectBig Data

Replace approved dates in a Hive ORC archive, including an empty day, while preserving other dates and original sources. One guided lab and one independent challenge.

Completed 0 of 2 Labs

Analyzing Shopping Sessions with Spark

ProjectBig Data

Build a reusable Spark analysis of closed shopping sessions. Match views and carts by session, product and time, then export complete product comparisons with honest denominators.

Completed 0 of 3 Labs

Rebuilding Vote Counts with Kafka

ProjectBig Data

Rebuild complete exhibition vote snapshots from Kafka while handling business retries and preserving existing reader progress.

Completed 0 of 3 Labs