Dear Spark users I have been asked to provide a presentation / business case as to why to use spark and java as ingestion tool for HDFS and HIVE And why to move away from an etl tool.
Could you be so kind as to provide with some pros and cons to this. I have the following : Pros: In house build – code can be changes on the fly to suite business need. Software is free Can out of the box run on all nodes Will support all Apache based software. Fast deu to in memory processing Spark UI can visualise execution Support checkpoint data loads Support echama regesty for custom schema and inference. Support Yarn execution Mlibs can be used in need. Data linage support deu to spar usage. Cons Skills needed to maintain and build In memory cabibility can become bottleneck if not managed No ETL gui. Maybe point be to an article if you have one. Thanks a mill. Christian Standard Bank email disclaimer and confidentiality note Please go to www.standardbank.co.za/site/homepage/emaildisclaimer.html to read our email disclaimer and confidentiality note. Kindly email disclai...@standardbank.co.za (no content or subject line necessary) if you cannot view that page and we will email our email disclaimer and confidentiality note to you.