All about stream processing - What is streaming data - What is stream processing - What is the difference between batch and stream processing - Stream processing technologies - Use Cases
@Shreya, I like your other videos on data format. But this particular one is at very high level with having some discrepencies. Amazon Kinesis Data Firehorse Amazon Kinesis Data Streams Amazon MSK These are not streaming solutions for unbounded data processing. They are helping for storing data like kafka. Apache Flink, Apache Beam - are two major Streaming Solution available today. I work in streaming. Amazon Kinesis Data Analytics is the streaming solution - where underlying product is Flink. Google has Google Dataflow which is Google's solution. Kafka streaming is stream processing. Sparking streaming is stream processing. Time, watermark and state are important concepts. Stateful computation is critical to achive low latency. Hope this helps. Please keep Sharing your knowledge. (I am a bengali too)
@@BigDataThoughts Val conf = new sparkconf().setmaster(local).setappname(appname) Val sc = new sparkcontext(conf) Please do video explanation for this syntaxes mam. Requesting you mam