Cloud data platforms have become a key component of enterprise data
architectures, playing a central role in many organizations’ digital transformation
strategies. That is not simply because they offer multipurpose, scalable and
cost-effective storage. It is because they foster more agile data operations, cut
through siloed architectures and unlock the potential of artificial intelligence
and machine learning to drive new trusted business insights.
Those core benefits help address many of the challenges that companies face in
executing their digital transformation programs. Across all industry verticals,
companies are collecting much greater volumes of data, which points to the need
for scalable, cost-effective solutions. They are also collecting a greater variety
of data (including structured, semi-structured and unstructured data) that is
difficult to describe via a single schema. This points to the need for multipurpose
storage. Most importantly, they need to quickly derive insights from these diverse
datasets, which points to the need for agile data operations and sophisticated
analytics (particularly AI/ML capabilities).
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