Data Engineering and Hadoop tutorial with MapReduce, HDFS, Spark, Flink, Hive, HBase, MongoDB, Cassandra, Kafka + more!
InstructorSundog Education by Frank Kane
The curriculum integrates various technologies including relational databases via MySQL, NoSQL stores like HBase and MongoDB, and stream processing with Flink and Storm.
Instruction includes specific tasks such as installing datasets into HDFS, coding MapReduce jobs, and using RDDs in Spark.
Editorial course preview
These 2 complementary views highlight concrete, legible examples from the course presentation.
This screen capture demonstrates the hands-on use of the Hive Data Explorer within the Hadoop ecosystem, visualizing dataset columns like movie_id into interactive charts.
An online store product page showing a grid of Blu-ray movies like Independence Day and X-Men with customer ratings and pricing details.
Setting up the practice environment can be difficult; one signal suggests learners may need to find archived versions of virtual machine images. This review predates the displayed update date, and while an update label is present, it does not prove a correction has been made.
The provided practice environment presents challenges for users attempting to run the setup on Apple Silicon (M1/M2/M3) processors. This signal also predates the displayed update date, and the update label does not guarantee a resolution.
The curriculum aligns with the needs of programmers and architects interested in the Hadoop ecosystem.