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Big Data and The HPE Workload and Density Optimized System

This is the fifth entry in an insideBIGDATA series that explores the intelligent use of big data on an industrial scale. This series, compiled in a complete Guide, also covers the exponential growth of data and the changing data landscape, as well realizing a scalable data lake. The fifth entry in the series is focused on the HPE Workload and Density Optimized System.

Government Sponsored Data Analytics in Healthcare and Life Sciences

The insideBIGDATA Guide to Data Analytics in Government provides an in-depth overview of the use of data analytics technology in the public sector. Focus is given to how data analytics is being used in the government setting with a number of high-profile use case examples. This is the third in a series of articles providing content extracted from the guide. The topic for this segment is government sponsored data analytics in healthcare and life sciences.

The HPE Elastic Platform for Big Data Analytics

This is the fourth entry in an insideBIGDATA series that explores the intelligent use of big data on an industrial scale. This series, compiled in a complete Guide, also covers the exponential growth of data and the changing data landscape, as well realizing a scalable data lake. The fourth entry in the series is focused on offerings from HPE for big data analytics.

Government Applications of IoT

The insideBIGDATA Guide to Data Analytics in Government provides an in-depth overview of the use of data analytics technology in the public sector. Focus is given to how data analytics is being used in the government setting with a number of high-profile use case examples. This is the second in a series of articles providing content extracted from the guide. The topic for this segment is government applications of the Internet-of-Things (IoT).

Accelerating Analytics for the Enterprise

The insideBIGDATA Guide to Deep Learning & Artificial Intelligence is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting area of technology. This is the fifth in a series of articles providing content extracted from the guide. The topic for this segment is the accelerating analytics for the enterprise.

Realizing a Scalable Data Lake

This is the third entry in an insideBIGDATA series that explores the intelligent use of big data on an industrial scale. This series, compiled in a complete Guide, also covers the exponential growth of data and the changing data landscape, as well as offerings from HPE for big data analytics. The third entry in the series is focused on realizing a scalable data lake.

insideBIGDATA Guide to Data Analytics in Government

The insideBIGDATA Guide to Data Analytics in Government provides an in-depth overview of the use of data analytics technology in the public
sector. Focus is given to how data analytics is being used in the government setting with a number of high-profile use case examples, how the Internet-of-Things is taking a firm hold in helping government agencies collect and find insights in a broadening number of data sources, how government sponsored healthcare and life sciences are expanding, as well as how cybersecurity and data analytics are helping to secure government applications.

The Changing Data Landscape

This is the second entry in an insideBIGDATA series that explores the intelligent use of big data on an industrial scale. This series, compiled in a complete Guide, also covers the exponential growth of data and realizing a scalable data lake, as well as offerings from HPE for big data analytics. The second entry in the series is focused on the changing data landscape.

The Downside of Converting Full-Text PDFs to XML for Text Mining

To get the best results from text mining projects, researchers need access to full-text articles. However, when researchers obtain full-text articles through company subscriptions or document delivery, the documents are often provided as PDFs, a suboptimal format for use with text mining software. The burden is then on researchers to convert the PDFs to XML. But that can be inefficient and costly. Read on as Michael Iarrobino, Product Manager at Copyright Clearance Center, explains the pitfalls of converting full-text PDFs to XML for text mining.

Key Challenges for Commercial Text Miners

Researchers use text mining tools to extract and interpret facts, assertions, and relationships from vast amounts of published information. Mining accelerates the research process. However, despite the many benefits of text mining, researchers face a number of obstacles before they even get a chance to run queries against the bigger body of literature. Read on as Michael Iarrobino, Product Manager at Copyright Clearance Center, explains the key challenges for commercial text miners.