"The use cases for which Nifi is used/adopted does the data load belongs to streaming mode or pure batch workloads"
Actually for both. NiFi is used for creating data flows. Data flows can be used for: - Data ingesting (gathering data from a lot of sources) - Data offloading (load data to other platforms like Apache Kafka, Hadoop, Azure Data Explorer etc) - Data integration (Connecting applications) - Edge data (gathering data from IOT sensors) / in combination with MiNiFi) Besides such use cases Apache NiFi does a good job in visualize and manage these data flows and scale them when needed. More reading: https://nifi.apache.org/docs/nifi-docs/html/overview.html Raymond On Thu, Dec 1, 2022 at 12:19 PM Tanmaya Panda <tanmayapa...@microsoft.com.invalid> wrote: > Hi Team, > > We are working on developing a Nifi connector to send and receive data > from Azure Data Explorer( a fast and fully managed data analytics service > offering for relatime analysis on large volumes of data streaming from IOT > devices, applications etc.). > > We wanted to understand the general usage patterns of Nifi. The use cases > for which Nifi is used/adopted does the data load belongs to streaming mode > or pure batch workloads? > > Thanks, > Tanmaya >
