Data ingestion, transformation and visualization with Apache NiFi

As we move towards a data oriented world, it is important for organizations to be able to collect data from multiple sources, apply business logic and transformation and extract intelligence that can help in making better decisions. Data ingestion can be based on real-time streams or batch based data. Apache NiFi is an easy to use reliable system that can be configured to ingest data from various sources, make transformations while handling multiple data formats and send data to downstream applications, dashboards or databases for consumption or display. Basically NiFi was built to automate the flow of data between systems and it performs this task very well with a browser based design. We will look at NiFi basics, architecture, data formats, a large number of functions, how it can benefit an organization, integrate data and provide ETL/ELT functionality. Speaker(s): Asaf, Agenda: 6:00PM – Introduction of IEEE Hamilton Section 6:15PM – Presentation 7:15PM – Q&A 7:30PM – Refreshments Room: Community Room C, Bldg: Glen Abbey Community Centre, 1415 Third Line, Oakville, Ontario, Canada, L6M3G2