Need help with Kafka offset Commit Strategy in Spark Streaming Job

Hi\r\n\r\nI have good experience working on Kafka streaming . Recently i worked for one of the client at freelancer Reference - [login to view URL]\r\n\r\nIn my professional carrer, i worked for streaming events from IOT devices, configuring Kakfa and Spark configuration for algorithm processing and threshhold management.\r\n\r\nCan you please inform if it is possible to setup the environment on local system\r\n\r\nHope that you are looking for Async manual commit after processing the stream RDD.\r\n\r\nPlease provide the info\r\n\r\nThanks\r\nMDS

I can do this, let's connect Hi, I have 8 years of experience and working on hadoop, spark, nosql, java, BI tools(tableau, powerbi), cloud(Amazon, Google, Microsoft Azure)... Done end to end data warehouse management projects on aws cloud with hadoop, hive, spark and presodb. Worked on multiple etl project like springboot, angular, node, PHP, Kafka, nifi, flume, mapreduce, spark with XML/JSON., Cassandra, mongodb, hbase, redis, oracle, sap hana, ASE.... Many more. Let's discuss the required things in detail. I am committed to work done and strong in issue resolving as well. Thanks

Hi, I am a certified bigdata developer and designed and developed many applications using spark and Kafka. I used both Apache and confluent kafka and configured and managed each and every aspect of kafka configuration using external configuration files as like we defined our applications standards. Please let’s connect and discuss more on your requirements.