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Home > Resources > Data Engineer’s Handbook: 4 Cloud Design Patterns for Data
Ingestion and Transformation


DATA ENGINEER’S HANDBOOK: 4 CLOUD DESIGN PATTERNS FOR DATA INGESTION AND
TRANSFORMATION 

Whitepaper from StreamSets Inc.

The move to the cloud has become top of mind and more urgent for data engineers
than ever before. According to Gartner, “By 2023, 75% of all databases will be
on a cloud platform.” 1 This mass migration to the cloud has translated into
huge new cloud projects that have dropped into the lap of the data engineer.

Whether you are an individual contributor or a senior data team leader, you most
likely are supporting a growing number of ETL developers who in turn support an
expanding number of data scientists and analysts across the whole business. They
want data faster, and they increasingly want data from outside the company. The
cloud is the easiest way to gather all of the external data your teams need and
let the analytics team free to party on the data. For data engineers moving to
the cloud means pipeline redesigns, migration projects, and shifts in data
processing strategy.



Download Now


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