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The Rise of Unstructured Data

Cloudera

The rate of data growth is reflected in the proliferation of storage centres. For example, the number of hyperscale centres is reported to have doubled between 2015 and 2020. And data moves around. Cisco estimates that global IP data traffic has grown 3-fold between 2016 and 2021, reaching 3.3 Zettabytes per year.

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What is a data scientist? A key data analytics role and a lucrative career

CIO Business Intelligence

What is a data scientist? Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Semi-structured data falls between the two.

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Powering the future: How Gen AI and AI illuminate utility companies

CIO Business Intelligence

ResearchandMarkets 1 estimates that the energy and power market spent 3.103 billion USD on AI in 2021. A recent report from CNBC 3 noted, “Most of the U.S. Read about unstructured data storage solutions and find out how they can enable AI technology. electric grid was built in the 1960s and 1970s.

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Top Cloud Data Security Statistics for 2023

Laminar Security

Exponential data proliferation The sheer volume of data that businesses are creating, consuming, and analyzing has grown exponentially, making the cloud a very tempting target for threat actors. The global datasphere is estimated to reach 221,000 exabytes by 2026 , 90% of which will be unstructured data.

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Covid Data: An anomalous blip, or the new normal?

Cloudera

Insurance and finance are two industries that rely on measuring risk with historical data models. They have traditionally been slower-moving to adopt new structured and unstructured data inputs as regulatory considerations are always top of mind. Moving to these new data sources is still worthwhile.

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Bridging the Gap Between Analytics Expectations and Reality

Sisense

Companies surveyed by Harvard Business Review Analytic Services (HBR) report that two of the most important strategic benefits of using data analytics are (1) identifying new revenue and business models and (2) becoming more innovative. 39% of companies want to identify new revenue and business opportunities with data analytics.

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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.