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What is Streaming Analytics?

Cloudera

What is Streaming Analytics? Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. The primary purpose is to present the most up-to-date operational events for the user to stay on top of the business needs and take action as changes happen in real-time.

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Why CIOs should invest in digital through economic headwinds

CIO

Approximately 34% are increasing investment in artificial intelligence (AI) and 24% in hyper-automation as well. Investing in ICI would supposedly increase growth for cities and businesses, and improve the lives of citizens. Sanchez-Reina suggested this was putting procurement in a shaker to find the best supplier and service.

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Three Trends for Modernizing Analytics and Data Warehousing in 2019

Cloudera

Data analytics priorities have shifted this year. Growth factors and business priority are ever changing. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural Language Analysis and Streaming Data Analytics.

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What’s the delay when it comes to content analytics?

CTOvision

Organizations are dealing with ever-growing amounts of data – and to get value from that data they need to analyze it, so what is the hold up in deploying content analytics? This unparalleled amount of content has led to the term ‘content analytics’. The art of applying content analytics. In our just released research -.

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Data Analytics in Healthcare: 7 Real-World Examples and Use Cases

Altexsoft

Large part of data comes from widely adopted IoT devices used in 60 percent of hospitals in the US today. Receiving patient or operation’s information, the next big step for the healthcare industry are data analytics applied to various processes in patient treatment, equipment maintenance, and diagnostics.

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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

Altexsoft

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. Data warehouse vs. data lake in a nutshell.

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Get Smart: Join Us at the AWS Summit in Atlanta

d2iq

Among the big trends AWS is highlighting at the Atlanta Summit are artificial intelligence (AI), machine learning (ML), analytics, business intelligence, modern applications based on containers, and the Internet of Things (IoT).These

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