Title

Learn how to pre-process (Transform) Time Series data and Productionize an Anomaly Detection Solution on OCI

About Or Title

About This Workshop

Desc Long

Developers/Engineers often spend an inordinate amount of time extracting data from various cloud databases and warehouses such as ADW. Not only is this time-consuming, it is also an inefficient use of their valuable time. In this Hands On Lab, the Oracle AI Services team will teach attendees on using the DPF (Data Processing Framework/Engine) to pre-process data with just a few clicks, train an Anomaly Detection model and then run inferences on it. Regain your time, and spend more of it on core AI, with the Oracle Data Processing Framework!

Workshop Length

1 hour, 30 minutes

Outline

Introduction
Lab 1 - Configure OCI Anomaly Detection Service
Lab 2- Configure OCI IAM Policies
Lab 3 - Create OCI Object Storage Buckets and Upload Code
Lab 4 - Prepare DPF Driver Configuration
Lab 5 - Configure OCI Data Flow
Lab 6 - Configure OCI Function
Lab 7 - Configure OCI Events
Lab 8 - Run the Anomaly Detection Solution

Prerequisites

Familiarity with Oracle Cloud Infrastructure (OCI) IaaS and PaaS Services such as Object Storage, Identity and Access Management, Virtual Cloud Network, Functions, Data Flow etc
Familiarity with Python (or other programming language) is strongly recommended
Experience with data engineering, machine learning and statistics is preferred but not required

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