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In this day and age, we’re all constantly hearing the terms “bigdata”, “data scientist”, and “in-memory analytics” being thrown around. Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Datadiscovery tools available in the market to take their brand forward.
In this day and age, we’re all constantly hearing the terms “bigdata”, “data scientist”, and “in-memory analytics” being thrown around. Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and DataDiscovery tools available in the market to take their brand forward.
The age of BigData inevitably brought computationally intensive problems to the enterprise. Central to today’s efficient business operations are the activities of data capturing and storage, search, sharing, and data analytics. As a result, organizations have spent untold money and time gathering and integrating data.
At a certain point, as the demand keeps growing, the data volumes rapidly increase. Data is no longer stored in CSV files, but in a dedicated, purpose built data lake / datawarehouse. Individual laptops are no longer capable of processing the required volumes. About Domino.
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