Enterprises consume data from a variety of sources. In this article, we'll categorize these different types of data access into patterns and build dataflows to process data. We'll create dataflows using an open-source tool, Apache NiFi, for each type of data access pattern. These dataflows will model the entire process of data movement as the data is processed by different components. Data Access Patterns We can divide different types of data access into three categories:


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,hdfs,nifi,influxdb,avro,data flow,parquet,kite sdk,timeseries