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The problem with “big data” is not that data is bad. It’s not even that big data is bad: Applied carefully, massive data sets can reveal important trends that would otherwise go undetected.
In the face of an impending economic slowdown, making the right business decisions is more critical than ever. This article will explore how decision making using Big Data and data analytics can ...
In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the ...
The big cost of the wrong big data The cost of handling poor quality data is high. On average the price is $13m per business or 10-30% of revenue, and for companies of any size that’s a huge burden.
Big Data is a term that refers to large sets of data that cannot be processed or stored in a typical computing and storage environment. It has become increasingly important as businesses struggle ...
The trade-off is in data access: Queriers need to know how to access the specific bits of information they are seeking. This puts data lakes in the realm of data scientists, specialists who study data ...
Normally, people create different data sets based on one or more common fields to make data analysis easy. In the case of Big Data, there is no need to create subsets.
Big data can help make Americans healthier, and the Trump Administration has stated—in its recently released Make America Healthy Again report and elsewhere—that building a national big-data ...
Data science aims to explore large amounts of structured and unstructured data sets – ‘big data’ – to design models and algorithms which can predict trends and guide decision-making.
Here’s a look at 10 big data technology startups developing next-generation technology in database systems, data analytics, database management, data transformation and data integration.
The CRN Big Data 100 includes data warehouse and data lake companies. ... SQream’s big data platform makes it possible to query extremely large, complicated data sets using a GPU-based engine.
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