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5 misconceptions about cloud data warehouses

IBM Big Data Hub

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

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Do You Know Where All Your Data Is?

Cloudera

The stringent requirements imposed by regulatory compliance, coupled with the proprietary nature of most legacy systems, make it all but impossible to consolidate these resources onto a data platform hosted in the public cloud. Flexibility.

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New Software Development Initiatives Lead To Second Stage Of Big Data

Smart Data Collective

The emergence of massive data centers with exabytes in the form of transaction records, browsing habits, financial information, and social media activities are hiring software developers to write programs that can help facilitate the analytics process. Unstructured. Unstructured data lacks a specific format or structure.

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Quantitative and Qualitative Data: A Vital Combination

Sisense

Despite its many uses, quantitative data presents two main challenges for a data-driven organization. First, data isn’t created in a uniform, consistent format. It’s generated by a host of sources in different ways. Making sense of and deriving patterns from it calls for newer, more advanced technology.

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An Introduction To Data Dashboards: Meaning, Definition & Industry Examples

datapine

Online dashboards provide immediate navigable access to actionable analytics that has the power to boost your bottom line through continual commercial evolution. Now that you understand a clearly defined dashboard meaning, let’s move onto one of the primary functions of data dashboards: answering critical business questions.

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

The company also uses data science in forecasting, global intelligence, mapping, pricing and other business decisions. An e-commerce conglomeration uses predictive analytics in its recommendation engine. The company made its data open-source, and trains and empowers employees to take advantage of data-driven insights.

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Ontotext Invents the Universe So You Don’t Need To

Ontotext

Machine learning coupled with knowledge graphs is already collecting, categorizing, tagging and adding the needed structure to the endless (and useless) swathes of unstructured data. Continuous Data Operations and Data Management for Analytics and Master Data Management.