Data Lake
A data lake is a centralized repository designed to store, process, and secure large amounts of raw data in its native format (structured or unstructured) at any scale until. It processes any variety of data in its original format, ignoring size limits. It allows you to store your data as it is without undergoing any form of structural arrangement before running needed analytics, from dashboards and visualizations to big data processing, real-time analytics, and machine learning to guide better decisions.
At B3 Digital Solutions, we help businesses build their data lakes on any of the most popular cloud service providers listed below.
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Microsoft Azure
Microsoft Azure, often referred to as Azure, is a cloud computing platform operated by Microsoft for application management via Microsoft-managed data centers.
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Google Cloud Platform
Google Cloud Platform, offered by Google, is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search, Gmail, Google Drive, and YouTube.
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Amazon Web Services
Amazon Web Services, Inc. is a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis. These cloud computing web services provide distributed computing processing capacity and software tools via AWS server farms.
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How it can help company
Benefits of the data lake to business operations
The overall ownership cost is lower.
Import any volume of current data in its original format.
Make data administration simpler.
Accelerated analytics, and enhanced security
produce various insights and reports on previous data, and predict potential outcomes.
Improves corporate governance: It enables individuals in different roles within your company—such as data scientists, data developers, and business analysts—to access data using the analytical tools and frameworks of their choosing.
