EPISODE · Oct 7, 2020 · 16 MIN
Confronting the Challenges of Massive Enterprise Data Sprawl
from Data Intelligence & Automation with Aparavi · host Aparavi
Managing data can be an overwhelmingly tedious and complex process. Too many companies are facing massive data sprawl and an abundance of outdated or trivial data, which makes it difficult to keep track of your files and find what you need when you need it. How can enterprise-level organizations effectively manage the gargantuan volumes of data they store, often across many disparate locations? We explain how intelligence and automation help.
What this episode covers
Managing data can be an overwhelmingly tedious and complex process. Too many companies are facing massive data sprawl and an abundance of outdated or trivial data, which makes it difficult to keep track of your files and find what you need when you need it. How can enterprise-level organizations effectively manage the gargantuan volumes of data they store, often across many disparate locations? We explain how intelligence and automation help.
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Confronting the Challenges of Massive Enterprise Data Sprawl
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