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Data Lifecycle

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May 1, 2024 Updated May 11, 2025 20 minute read

In today's information-driven world, data is often described as the new oil – a valuable resource that powers innovation, drives decisions, and shapes our understanding of the world. But like any resource, data must be managed effectively to unlock its full potential. This is where Data Lifecycle Management (DLM) comes into play. At its core, DLM is a comprehensive approach to managing data throughout its entire existence, from the moment it's created or collected to the time it's eventually archived or destroyed. It provides a structured framework, governed by policies, to ensure data is handled efficiently, securely, and in compliance with relevant regulations.

Path to Data Lifecycle

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We've curated nine courses to help you on your path to Data Lifecycle. Use these to develop your skills, build background knowledge, and put what you learn to practice.

Sorted from most relevant to least relevant:

Cloud Data Security for CCSP®

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Asset Security for CISSP®

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Gestiona un proyecto de datos en tu organización

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기초: 어디에나 존재하는 데이터

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Research Data Management and Sharing

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Aspectos básicos: Datos, datos, en todas partes

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Cloud Data Security

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Introduction to Data Analytics in Google Cloud

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Introduction to Data Engineering

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Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Lifecycle.