All about stream processing

[@infiniteseries948]

@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)

[@samk_jg]

Hi, I really like your content , do you have some training program or is there any possibility to have one to one training with you , thanks!

[@kumarvummadi3772]

Hi Madam please do a video on sparkcontext , spark session configuration with clear explanation of that syntaxes please mam 🙏

[@BigDataThoughts]

Sure

[@kumarvummadi3772]

@@BigDataThoughts can you please do the video quickly mam.

[@kumarvummadi3772]

@@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