Harness the power of data in the cloud while ensuring its integrity, security, and longevity!
Swipe left to explore the fascinating cloud data journey from creation to retirement!
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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
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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
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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
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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historical reference, ensuring regulatory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
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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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