Edge to AI: Analytics from Edge to Cloud with Efficient Movement of Machine Data

Edge to AI: Analytics from Edge to Cloud with
Efficient Movement of Machine Data
TIMOTHY SPANN, Sr. SE, Cloudera

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MACHINE LEARNING PHASES
Where to Connect to Apache NiFi

Speed of Data Model Training Model Scoring Use Case
Batch
Batch
Batch
Batch Reporting,
Analytics,
Applications
Online
DS Applications/
Interactive
Dashboards
Streaming
In-stream
Streaming
Applications
Incremental/Online In-stream
Streaming
Applications
Training, Scoring and Monitoring

9 © Cloudera, Inc. All rights reserved.
INTRODUCING MODELS
Machine learning models as one-click microservices (REST APIs)
Model APIs made easy!
1. Choose Python/R file, e.g. score.py
2. Choose function, e.g. forecast
f = open('model.pk', 'rb')
model = pickle.load(f)
def forecast(data):
return model.predict(data)
3. Choose resources

CLOUDERA DATA SCIENCE WORKBENCH
Select a Project, Create a Session, Load Libraries and Data

Load a File and Run It

Install Python Libraries for Python 2 or Python 3

Test your function with an argument

Create a model from that file and function

CLOUDERA DATA SCIENCE WORKBENCHList All The Models

CLOUDERA DATA SCIENCE WORKBENCHDeploy the Model

CLOUDERA DATA SCIENCE WORKBENCHCheckout The Build

CLOUDERA DATA SCIENCE WORKBENCHTest the Model

CLOUDERA DATA SCIENCE WORKBENCHValidate the Model Results

CLOUDERA DATA SCIENCE WORKBENCHMonitor The Running Models

CLOUDERA DATA SCIENCE WORKBENCHInvoke the Model From Apache NiFi In Flow

CLOUDERA DATA SCIENCE WORKBENCHQuery Results of Classification in Flow
{ "class1": "cat", "cpu": 38.3, "end": "1549672761.1262221",
"host": "gluoncv-apache-mxnet-29-50-7fb5cfc5b9-sx6dg", "memory": 14.9,
"pct1": "98.15670800000001",
"shape": "(1, 3, 566, 512)", "systemtime": "02/09/2019 00:39:21",
"te": "3.380652666091919"
}
CLOUDERA DATA-IN-MOTION (APACHE NIFI)

CLOUDERA DATA SCIENCE WORKBENCHReferences
● https://blog.cloudera.com/blog/2019/02/integrating-machine-learning-models-into-your-big-data-
pipelines-in-real-time-with-no-coding/
● https://community.hortonworks.com/articles/239961/using-cloudera-data-science-workbench-with-
apache.html
● https://community.hortonworks.com/content/kbentry/239858/integrating-machine-learning-models-
into-your-big.html
● https://github.com/tspannhw/nifi-cdsw-gluoncv
CLOUDERA

Edge to AI: Analytics from Edge to Cloud with Efficient Movement of Machine Data

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Edge to AI: Analytics from Edge to Cloud with Efficient Movement of Machine Data