Is the Big Data & Streaming certificate verifiable?

Yes. Every issued Hootix Academy certificate carries a unique credential code that anyone can verify online.

How is the Big Data & Streaming exam structured?

It is a 85-minute proctored multiple-choice exam of 62 questions; you need 75% to pass.

Do I need to buy the course to take the exam?

You can purchase the certification exam on its own, or bundle it with the full study course at a reduced price.

How long does the Big Data & Streaming course take?

About 30 hours of self-paced study.

Big Data & Streaming Certification

Design and operate real-time data pipelines at scale

Key facts

Level: Professional
Field: Data Engineering & Analytics
Estimated study time: about 30 hours
Credential price: $149
Exam: 62 questions · 85 minutes · pass mark 75%

About the Big Data & Streaming certification

The Big Data & Streaming certification validates that you can design, reason about and operate real-time and large-scale data systems. You will move beyond batch thinking into the world of unbounded data, where records arrive continuously and correctness depends on when you process them, not just what you process. The exam covers the big-data 5 Vs, distributed storage (HDFS and object storage) and distributed-computing fundamentals; Apache Kafka in depth — topics, partitions, offsets, consumer groups, replication, retention, log compaction and exactly-once semantics; stream processing with Spark Structured Streaming and Apache Flink; event time vs processing time, windowing (tumbling, sliding, session), watermarks and late-data handling, stateful processing and checkpointing; delivery guarantees (at-most-once, at-least-once, exactly-once); the lambda and kappa architectures; change-data-capture streaming, backpressure, message queues vs event streams, the streaming lakehouse (Delta/Iceberg), real-time OLAP stores (Druid/ClickHouse), and the scalability, fault-tolerance and monitoring of streaming pipelines. It is engine-agnostic: the concepts transfer across Kafka, Flink, Spark, Pulsar and managed cloud equivalents. Candidates should already hold the Data Engineering Professional credential or have equivalent hands-on pipeline experience.

What you will learn

The official Big Data & Streaming study course covers:

Big Data Foundations — The 5 Vs, distributed storage (HDFS and object storage) and the move-compute-to-data principle.
Apache Kafka In Depth — Topics, partitions, offsets, consumer groups, replication, retention and log compaction.
Stream Processing & Time — Spark vs Flink, event time vs processing time, windowing and watermarks for late data.
State, Guarantees & Fault Tolerance — Stateful processing, checkpointing/recovery and delivery semantics (at-most/at-least/exactly-once).
Architectures, Analytics & Operations — Lambda vs kappa, CDC, backpressure, the streaming lakehouse, real-time OLAP and monitoring.

Prerequisites

Data Engineering Professional

Frequently asked questions

Is the Big Data & Streaming certificate verifiable?: Yes. Every issued Hootix Academy certificate carries a unique credential code that anyone can verify online.
How is the Big Data & Streaming exam structured?: It is a 85-minute proctored multiple-choice exam of 62 questions; you need 75% to pass.
Do I need to buy the course to take the exam?: You can purchase the certification exam on its own, or bundle it with the full study course at a reduced price.
How long does the Big Data & Streaming course take?: About 30 hours of self-paced study.