The versatility of Apache Spark's API for both batch/ETL and streaming workloads brings the promise of lambda architecture to the real world. Few things help you concentrate like a last-minute change to a major project. One time, after working with a customer for three weeks to design and implement a proof-of-concept data ingest pipeline, the customer's chief architect told us: You know, I really like the design – Read more The post Building Lambda Architecture with Spark Streaming appeared first on Cloudera Engineering Blog.


I guess you came to this post by searching similar kind of issues in any of the search engine and hope that this resolved your problem. If you find this tips useful, just drop a line below and share the link to others and who knows they might find it useful too.

Stay tuned to my blogtwitter or facebook to read more articles, tutorials, news, tips & tricks on various technology fields. Also Subscribe to our Newsletter with your Email ID to keep you updated on latest posts. We will send newsletter to your registered email address. We will not share your email address to anybody as we respect privacy.


This article is related to

Kafka,Spark,analysis,apache,Apache HBase,apache hive,apache pig,cloudera,data,demo,developers,events,Hadoop,hadoop application,HBase,HDFS,Hive,java,log,MapReduce,o'reilly,Pig,sql,streaming,use cases