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1
Introduction
2
Agenda
3
Edge Data Ingest
4
Apache Flink
5
Data Visualization
6
History of NiFi
7
Features of NiFi
8
Provenance
9
Structured Data
10
Stateless Engine
11
Configuration File
12
Cluster Parameters
13
Retry Flow
14
Back Pressure
15
Reader and Writer
16
Reporting
17
Lookup Records
18
ingesting databases
19
IoT flows
20
NiFi hurdles
21
Demo
22
Knife Flow
23
Data Flow
24
Warm Data
25
Send to Slack
26
Score
27
Thermal Data
28
Kafka
29
minify
30
SQL queries
31
Data flows
32
Data Storage
33
Conclusion
34
Full Provenance
Description:
Explore the fundamentals of Apache NiFi for Internet of Things (IoT) applications in this comprehensive 53-minute conference talk presented by Timothy J Spann from Cloudera. Delve into edge data ingestion, Apache Flink, and data visualization techniques. Gain insights into NiFi's history, key features, and concepts such as provenance, structured data, and stateless engine. Learn about configuration files, cluster parameters, retry flows, and back pressure. Discover how to work with readers, writers, and reporting tools. Explore practical applications including IoT flows, database ingestion, and data flow management. Watch a live demo showcasing Knife Flow, data flows, and integration with Slack and Kafka. Understand minify SQL queries, data storage solutions, and the importance of full provenance in IoT data processing.

Learning the Basics of Apache NiFi for IoT

Linux Foundation
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