Do you want to learn how to build data flows using Apache NiFi (Hortonworks DataFlow) to solve all your streaming challenges?
If you have answered YES, then you are at the right place…!!!
In today's big data world, fast data is becoming increasingly important. Streaming data at scale and rapidly between all your systems should be centralised, automated and resilient to failure to ensure good delivery to your downstream systems. Learn how to build data flows using Apache NiFi (Hortonworks DataFlow) to solve all your streaming challenges!
You will become proficient at creating efficient streaming data flows by taking this course which is aimed for beginners! No programming knowledge is required to take this course!
Apache NiFi initially used by the NSA so they could move data at scale and was then open sourced. Being such a hot technology, Onyara (the company behind it) was then acquired by Hortonworks, one of the main backers of the big data project Hadoop and then Hadoop Data Platform.
Apache NiFi is now used in many top organisations that want to harness the power of their fast data by sourcing and transferring information from and to their database and big data lakes. It is a key tool to learn for the analyst and data scientists alike. Its simplicity and drag and drop interface make it a breeze to use! You can start building flows between Kafka and ElasticSearch, an FTP and MongoDB, and so much more! Your imagination is the limit
Quick Overview Of Course Content -
This course will take you through the Apache NiFi technology. You will help you understand its fundamental concepts, with theory lessons that walk you through the core concepts of the Apache NiFi.
You will also have hands-on labs to get started and build your first data flows. You will learn how to set up your connectors, processors, and how to read your FlowFiles to make most of what NiFi offer. The most important configuration options will be demonstrated so you will be able to get started in no time.
We will also analyse a template picked from the web and understand how to debug your flows as well as route your data to different processors based on outcomes through relationships.
We will finally learn about the integrations between NiFi and Apache Kafka or MongoDB. Lots of learning ahead!
Why I should take this course?
Student’s Loved this course -
Ashish Ranjan says “Great Course to get started with Nifi. Also, the instructor is very helpful and answers all your questions. I would highly recommend it. Great Job.” (Rated with 5 star)
Luca Costa says “It was very interesting and now I have an Idea how to start my project :) Thank you” (Rated with 5 star)
Aaron Gong says “Very clear and well instructed, first section is the most important, why use Nifi and for what purpose it is better suited for…” (Rated with 5 star)
I am sure that you will walk away with a great enterprise skill and start solving your streaming challenges!
What are you thinking then? You also have lifetime access to the course and 30 days’ money back guarantee, so click on “Enroll Now” button now and see you inside the course…!!!
Introduction to what Apache NiFi is, what it's good for and not good for, and what benefits it will provide you and your company
Introduction to the three most important concepts in Apache NiFi, the FlowFile, the Processor and the Connector
Download and Install NiFi. Run on Windows, MacOS X or Linux. Install as a Service
Create your first processor GetFile and configure it
Create your second processor PutFile, connect it to your first processor and start your data flow
This lecture walks you through the different elements within the UI in Apache NiFi so you can start using the tool to its full potential
Theoretical lecture to introduce you to the variety of processors that are available to you in Apache NiFi
Another Flow example to Generate data that you will find useful for debugging your flows.
Learn what templates are and how to import them
Create process groups and utilise them to export your flows as templates
Theoretical lecture about how FlowFiles are structured, with their content and attributes
Start manipulating FlowFile's content and attributes through the analysis of a template
Learn how attributes can be used in the expression language so that they can alter the content
Learn how to monitor your overall Apache NiFi state
Explore the data provenance menu to understand the FlowFile journey through your data flows
Learn about Relationships so that you can start routing data to different processors
In this lecture I will go through how to set-up a NiFi flow so that JSON documents are written to a MongoDB database. The processor PutMongo will be used
Stephane is a solutions architect, consultant and software developer that has a particular interest in all things related to big data and analytics. He's also a best seller instructor on Udemy for his courses in Apache Kafka, Apache NiFi and AWS Lambda!
He loves Apache Kafka. He regularly contributes to the Apache Kafka project and wrote a guest blog post featured on the Confluent website, the company behind Apache Kafka.
He also is an AWS certified Solutions Architect, and has many years of experience with technologies such as Apache Kafka, Apache NiFi, Apache Spark, Hadoop, PostgreSQL, Tableau, Spotfire, Docker and Ansible amongst many others.
His favourite programming languages are Scala and Python, and he plans on learning Go soon.
During his spare time he enjoys cooking, practicing yoga, surfing, watching TV shows, and traveling to awesome destinations!