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Three Trends for Modernizing Analytics and Data Warehousing in 2019

Cloudera

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 analytics and streaming data analytics are emerging technologies that will impact the market.

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

Altexsoft

The data is already being stored digitally: more than 95 percent of health facilities report implementing Electronic Health Records (EHR) systems. Large part of data comes from widely adopted IoT devices used in 60 percent of hospitals in the US today. In 2017, Penn launched a trigger system Palliative Connect.

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Topics to watch at the Strata Data Conference in New York 2019

O'Reilly Media - Ideas

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. 221) to 2019 (No.

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Data Quality Management: Roles, Processes, Tools

Altexsoft

Low-quality data can also impede and slow down the integration of business intelligence and ML-powered predictive analytics. US company executives that participated in the Data trust pulse survey by PricewaterhouseCoopers noted that unreliable data is one of the obstacles to monetizing data. Final word.

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Less is More: The Benefits of Streamlining Your Data Integration Workflow

Datavail

According to Statista , in 2021 companies used an average of 110 software as a service (SaaS) applications in their IT environment, which is a sevenfold increase from just 16 applications in 2017. What’s more, 20 percent of these companies are using 1,000 or more sources, far too many to be properly managed by human data engineers.

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