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@infosectrain #
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CLOUD DATA
LIFE CYCLE
Navigating the Cloud Data Journey
www.infosectrain.com
@infosectrain #
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Data is born! This stage marks data generation
through various sources like user input, IoT
devices, or automated processes. It's the
starting point of the data life cycle.
Data Creation
Data finds its way into the cloud! Data is
collected, validated, and prepared for
storage in cloud repositories during this
phase, ensuring its accuracy and quality.
Data Ingestion
www.infosectrain.com
@infosectrain #
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Safe and sound in the cloud! Data is stored
in different types of cloud storage, such as
databases, data lakes, or data warehouses,
providing scalability and accessibility.
Data Storage
Let the analysis begin! Data is processed and
transformed into valuable insights through
various techniques like data mining, AI,
and machine learning.
Data Processing
www.infosectrain.com
@infosectrain #
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Uncover hidden patterns! Data analysis
reveals meaningful trends, enabling
businesses to make informed decisions and
gain a competitive edge.
Data Analysis
Make data come alive! Visualization tools
create interactive charts and graphs, making
complex data more understandable
and actionable.
Data Visualization
www.infosectrain.com
@infosectrain #
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Collaborate and disseminate! Data is shared
securely with authorized stakeholders,
enabling seamless communication and
knowledge exchange.
Data Sharing
Preserving for the Future! Data deemed less
critical is archived for compliance and
historical reference, ensuring regulatory
requirements are met.
Data Archiving
www.infosectrain.com
@infosectrain #
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Saying goodbye responsibly! When data is no
longer needed, it's securely deleted from
the cloud, ensuring data privacy
and compliance.
Data Deletion
Data's final destination! Data is retired or
purged following established policies and
protocols at the end of its life cycle.
Data Retirement
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Cloud Data Life Cycle

  • 1. @infosectrain # l e a r n t o r i s e CLOUD DATA LIFE CYCLE Navigating the Cloud Data Journey
  • 2. www.infosectrain.com @infosectrain # l e a r n t o r i s e Data is born! This stage marks data generation through various sources like user input, IoT devices, or automated processes. It's the starting point of the data life cycle. Data Creation Data finds its way into the cloud! Data is collected, validated, and prepared for storage in cloud repositories during this phase, ensuring its accuracy and quality. Data Ingestion
  • 3. www.infosectrain.com @infosectrain # l e a r n t o r i s e Safe and sound in the cloud! Data is stored in different types of cloud storage, such as databases, data lakes, or data warehouses, providing scalability and accessibility. Data Storage Let the analysis begin! Data is processed and transformed into valuable insights through various techniques like data mining, AI, and machine learning. Data Processing
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  • 5. www.infosectrain.com @infosectrain # l e a r n t o r i s e Collaborate and disseminate! Data is shared securely with authorized stakeholders, enabling seamless communication and knowledge exchange. Data Sharing Preserving for the Future! Data deemed less critical is archived for compliance and historical reference, ensuring regulatory requirements are met. Data Archiving
  • 6. www.infosectrain.com @infosectrain # l e a r n t o r i s e Saying goodbye responsibly! When data is no longer needed, it's securely deleted from the cloud, ensuring data privacy and compliance. Data Deletion Data's final destination! Data is retired or purged following established policies and protocols at the end of its life cycle. Data Retirement
  • 7. FOUND THIS USEFUL? Get More Insights Through Our FREE Courses | Workshops | eBooks | Checklists | Mock Tests LIKE SHARE FOLLOW