Become proficient in the strategies and methods used by Apache Storm for big data streaming.
Big data streaming is a methodology that efficiently processes large amounts of data to produce insightful information. The data in movement is the information that is processed. Big data streaming is preferably a speed-focused technique that processes data in a steady flow. Ganapathi Devappa, a Cloud & Big Data Specialist, created the Hands-on big data streaming with Apache Storm online certification, which is provided through Udemy.
Hands-on big data streaming with Apache Storm online course provides 6 hours of in-depth video lectures that are supplemented by 9 articles and 8 downloadable materials, which is designed for learners who wish to get the knowledge necessary to build stream processing apps using Apache Storm. Hands-on big data streaming with Apache Storm online classes put a strong emphasis on teaching learners how to write Apache Storm programs in Java and interfaces for obtaining data from Twitter and tools such as Kafka, processing it in Storm, and saving it to tables in Cassandra or documents in HDFS.
Yes
Udemy
After completing the Hands-on big data streaming with Apache Storm certification course, learners will acquire the knowledge of the functionalities of big data and Apache storm associated with data streaming and developing applications. Learners will explore the strategies involved with data analytics and data streaming, distributed stream processing, state stream processing, and exactly once processing. Learners will study about functionalities of Twitter, Kafka, HDFS, and Cassandra for real-time data streaming.
Mr Ganapathi Devappa Database Administrator Freelancer
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