Certified Big Data Professional

A 120-hour big-data certification — processing data at scale with the Hadoop and Spark ecosystems, real-time streaming with Kafka, and distributed stores like Hive and Cassandra. You learn to store, process and stream data far beyond what a single machine can handle.

From Linux and Hadoop foundations you move through Spark, SparkML, real-time streaming with Kafka, and distributed stores. The capstone builds a big-data pipeline end to end.

• Data engineers and analysts working with large-scale data.
• Professionals building distributed data platforms.

• Work confidently in Linux and the Hadoop ecosystem.
• Process massive datasets with Apache Spark.
• Build machine-learning models with SparkML.
• Stream data in real time with Kafka.
• Store data at scale with Hive and Cassandra.

• Hands-on labs throughout the program (70% project-based).
• A capstone project demonstrating end-to-end skills.

• Process and analyze massive datasets with Spark and Hadoop.
• Build real-time streaming pipelines with Kafka.

Globally accredited certificate issued by Epsilon AI Learning — USA, with a unique Certificate ID and EPSILON ID. Awarded on 80% attendance, 80% final exam, and a capstone project.

• Linux essentials for data platforms
• The Hadoop ecosystem and HDFS
• When and why to go distributed

• RDDs, DataFrames and Spark SQL
• Transformations, actions and tuning
• Processing massive datasets efficiently

• SparkML pipelines
• Feature transformers and models
• Evaluating models on big data

• Event streaming with Kafka
• Spark Streaming pipelines
• Windowing and stateful processing

• Data warehousing with Hive
• Ingestion with Sqoop
• NoSQL at scale with Cassandra

• End-to-end ingestion to insight
• Combining batch and streaming
• Performance and cost considerations