Gain a thorough understanding of the fundamental concepts and methodologies related to big data processing using Apache Storm.
Big Data Processing is the grouping of approaches or concepts that makes it possible to acquire huge amounts of data and extract insightful conclusions from it. Data collection and cleaning are always the first stages in the big data processing. Once accurate data has been collected, users can go on to analyze it statistically or create prediction models using machine learning. The Packt Publishing - Tech Knowledge in Motion, created the Learning Apache Storm for Big Data Processing certification course, which is made available through Udemy.
Learning Apache Storm for Big Data Processing online training is intended for candidates who are serious about learning the methods and concepts of big data processing to work as data engineers or Java programmers. By the end of the Learning Apache Storm for Big Data Processing online classes candidates will have developed the skills and knowledge necessary to build scalable storm applications while laying a solid foundation for Apache Storm and the legitimate processing paradigm.
Yes
Udemy
After completing the Learning Apache Storm for Big Data Processing online certification, candidates will master the basic and advanced concepts of apache storm for big data operations like data processing and application development. Candidates will examine the techniques for creating topologies and executing transformations utilizing tridents. Candidates will gain knowledge of parallelism, stream grouping, tuple interaction, lambda architecture, and Apache Hadoop methods. Candidates will also gain knowledge of how to operate single- and multi-node clusters as well as bolts in HDFS.
Brochure has been downloaded.
Regular exam updates, QnA, Predictors, College Applications & E-books now on your Mobile
