Businesses globally rely on Azure Data Factory for serverless
data integration, orchestrating all their data and automating
data transformation at scale.
Analyzing data from diverse sources is paramount for informed decision-
making and identifying efficiency gaps. Yet, as data volume, velocity and
variety expand, consolidating it into usable formats grows increasingly
complex.
Mid-market organizations grapple with the challenge of harmonizing data
from disparate sources with varying formats and structures. To ensure
seamless data ingestion, they must prioritize data quality, accuracy and
consistency across all sources. Achieving this requires robust, scalable data
ingestion tools capable of automatically connecting to diverse sources,
cleansing and standardizing data and delivering it to a centralized repository
for analysis.
Azure Data Factory is a fully managed cloud service for building complex
ETL and ELT pipelines, offering a unified platform for data ingestion
and transformation. It helps organizations overcome data silos and the
incompatibility issues that arise when integrating data from diverse sources.
The advanced features of Data Factory facilitate the ingestion of data from
on-premises, hybrid and multi-cloud sources and the transformation of data
with powerful data flows in Azure Synapse Analytics.
This e-book gives organizations an in-depth understanding of the role of
Data Factory in data modernization and its effectiveness in addressing their
challenges in fully leveraging data assets to drive business impact.
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