What is Apache NiFi? Apache NiFi is a processing engine that allows you to treat information flow as a series of events.
Data warehouses should be adaptable and able to manage a dynamic schema, and we should be able to easily manage data from multiple devices which may be unrelated to one another.
Pharmaceutical Manufacturing is one of the most important yet most challenging of industries. Yield variations, particularly with early-stage experimental medicine, can lead to difficulties for both business and patient treatment plans.
Over the past few years we have seen a rise in cloud native “machine learning” models. These general use models are accessible via API…
November 16, 2020 – Calculated Systems, the leading provider of next-generation ‘big-data’ movement, in collaboration with Microsoft’s Azure marketplace
Syft Technologies is a leading scientific equipment manufacturer specializing in chemical analysis.
Thanks to the data provenance provided by Apache NiFi’s debugging capabilities, you are able to track your Flowfiles within your workflow from start to end.
Observations of how to succeed in IoT projects moving machine data with Apache NiFi.
All data that enters Apache NiFi is represented with an abstraction called a Flowfile. The attribute portion of a Flowfile is better known as the file’s meta data.
What do you think is the most popular bicycle spot is in San Francisco? I’ll give you a hint, over 129,000 people recorded being there in the last year.
Manufacturing is a field that is undergoing a complete transformation in the era of faster and more available data.
Calculated Systems has introduced new custom-made NiFi processors focused on making machine-learning accessible and easy to use.
This article covers some of the most common questions we get about the Apache NiFi. A more complete understanding of NiFi is available in our eBook Apache NiFi for Dummies.
Over the past few years we have seen a rise in cloud native “machine learning” models. These general use models are accessible via API calls and maintained by their respective cloud providers.
Apache NiFi has the ability to control large groups of processors with “Controller Services”.
Apache NiFi’s out of the box functionality can be greatly increased through working with templates. Templates enable flows to be saved, version controlled, and distributed.
Streaming data into a MySQL database for later analysis and review is a common use case. Nifi is able to offer an end to end one stop solution from picking up the data to inserting it into your database.
The Cloudera user-guide is designed to be an all-encompassing instruction set for how to deploy Hadoop. Sometimes though you just want to setup a simple development environment…
Moving data to the cloud is one of the cornerstones of any cloud migration. This series of training will establish common, reliable patterns to begin moving data.
This past week at Calculated Systems we have been working one of the most meaningful applications of our technology to date.