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8+ Hours Beginners to Advance: Learn Real World Production Scenario and Become a Pro in Apache Data Flow Management
What you’ll learn
Learn All you need to know about Apache NiFi Data Flows. This course is suitable for beginner as well as for Advance Level students.
This Course will help you develop a deep understanding about NiFi
Real life production data flow scenarios
NiFi Installation on Windows and Linux
NiFi Registry Installation and Setting up Versioning Control for Development Life Cycle
Reading and Writing to Hadoop HDFS, Hbase , Redis, H2 and PostgreSQL and Oracle Database
Reading Incremental data from a Table in a Database
Reading Streaming Data Over HTTP Protocol and Merging them and processing further
Robust Schema Management approach to read record level data efficiently
Enabling Audit data by reading NiFi Provenance Repository
Installing and Configuring NiFi Registry to manage different version of code.
CountText, LogAttribute, LogMessage, AttributeToCSV, AttributeToJson Processor
Finally, A complete course on Apache NiFi is here. This course is going to discuss latest version of NiFi and Processors step by step.
With more than 3500+ students enrolled since the course went live Last Month. and has already become a bestseller now. This course has 8+ Hours of comprehensive hands-on lessons which can take you through the journey of Data Flow Manager from Beginners to Advance Level. This course has latest version of Apache NiFi Processors covered.
Please feel free to ask any question you have during your journey of learning Apache NiFi. I would love to answer your queries.
A Quick Intro About NiFi:
Apache NiFi is an excellent open source software for automating and managing the data flows between various types of systems. It is a powerful and reliable system to process and distribute data. It provides a web-based User Interface for creating, monitoring, & controlling data flows. It has a highly configurable and modifiable data flow process that can modify data during executing also known as run time. It is easily extensible through the development of custom components.
Github Link to download the templates is updated in lecture – 5, resources.
Who this course is for:
NiFi Beginners to Advance students
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