Livelessons – Data Engineering Foundations Part 2 Building Data Pipelines with Kaf...

4+ Hours of Video Instruction
The Perfect Way to Get Started with Data Pipelines, Kafka, and NiFi
Data Engineering Foundations Part 2: Building Data Pipelines with Kafka and NiFi provides over four hours of video introducing you to creating data pipelines at scale with Kafka and NiFi. You learn to work with the Kafka message broker and discover how to establish NiFi dataflow. You also learn about data movement and storage. All software used in videos is open source and freely available for your use and experimentation on the included virtual machine.
About the Instructor
Doug Eadline, PhD, began his career as a practitioner and a chronicler of the Linux Cluster HPC revolution and now documents big data analytics. Starting with the first Beowulf How To document, Dr. Eadline has written hundreds of articles, white papers, and instructional documents covering virtually all aspects of HPC computing. Prior to starting and editing the popular ClusterMonkey.net website in 2005, he served as editor-in-chief for ClusterWorld Magazine and was Senior HPC Editor for Linux Magazine. Currently, he is a consultant to the HPC industry and writes a monthly column in HPC Admin Magazine. He has practical hands-on experience in many aspects of HPC, including hardware and software design, benchmarking, storage, GPU, cloud, and parallel computing. He is the co-author of the Apache Hadoop YARN book and author of Hadoop Fundamentals LiveLessons and Apache Hadoop YARN LiveLessons.
Skill Level:
Beginner
Intermediate
Learn How To:
Understand Kafka topics, brokers, and partitions
Implement basic Kafka usage modes
Use Kafka producers and consumers with Python
Utilize the KafkaEsque graphical user interface
Understand the core concepts of NiFi
Understand NiFi flow and web UI components
Understand direct data movement with HDFS
Use HBase with Python Happybase
Use Sqoop for database movement
Who Should Take This Course:
Users, developers, and administrators interested in learning the fundamental aspects and operations of date engineering and scalable systems
Course Requirements:
Basic understanding of programming and development
A working knowledge of Linux systems and tools
Familiarity with Python