15、Building Data Pipelines and Model Management in ML Projects

Building Data Pipelines and Model Management in ML Projects

1. Introduction

In machine learning (ML) projects, the data pipeline infrastructure is the lifeblood. It enables the availability of useful, clean data and the ability to transform and enrich data rapidly. A flexible and easy - to - manage pipeline infrastructure makes the team more productive and responsive to project requirements.

2. Building Data Pipelines

2.1 Task S1.3

The tasks in S1.3 are as follows:
- Aggregate and fuse relevant data into an integrated picture.
- Implement and manage data pipelines.
- Design and implement data tests.

2.2 Data Processing Requirements

The data processing for an ML project can be divided into sev