Master the Hadoop ecosystem using HDFS, MapReduce, Yarn, Pig, Hive, Kafka, HBase, Spark, Knox, Ranger, Ambari, Zookeeper
InstructorEdward Viaene
Free
Free
Free
The curriculum provides instruction across various processing engines including Pig, Apache Spark, Kafka, Storm, and HBase.
Instruction covers multiple security and governance layers such as Kerberos, SPNEGO, Knox, and Ranger.
Editorial course preview
These 3 complementary views highlight concrete, legible examples from the course presentation.
This course layout table organizes the curriculum into five categories covering Big Data fundamentals, Hadoop installation, ecosystem tools like Hive and Kafka, security protocols, and advanced optimization topics.
This slide presents market data from Indeed.com showing the average yearly salary for a Hadoop Engineer is $112,000, alongside a comparative chart of salaries for related Big Data roles.
This slide introduces the instructor Edward Viaene, detailing his background in delivering official Hadoop trainings to S&P 500 companies and providing independent Big Data consultancy.
Learners have reported difficulties with software compatibility on Apple Silicon Macs and issues using deprecated Vagrant images for cluster setup. While the course was updated in June 2025, these signals originated in reviews from 2023 and 2024; the update label does not prove these specific environment issues were resolved.
The wide breadth of the ecosystem may result in limited technical depth for specific components like Spark or HBase.
The curriculum aligns with the target IT audience, though hardware limitations affect suitability for Mac users.