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Information Builders Introduces Design Thinking for BI and Analytics

Information Builders, a leader in business intelligence (BI) and analytics, data integrity, and integration solutions, announced that the company has developed its own brand of process innovation via the well-known Design Thinking methodology.

Book Review: Statistical Learning with Sparsity – The Lasso and Generalizations

As a data scientist, I have a handful of books that serve as important resources for my work in the field – “Statistical Learning with Sparsity – The Lasso and Generalizations” by Trevor Hastie, Robert Tibshirani, and Martin Wainwright is one of them. This book earned a prominent position on my desk for a number of reasons.

The Hardest Part of Analytics Isn’t Analysis. It’s Data

In this special guest feature, Matin Movassate, CEO and cofounder of Heap, suggests that as data scientists and business leaders alike fixate on the great potential of technologies like machine learning and AI, we risk losing sight of what’s most important: the data itself. After all, fancy visualizations and predictive analytics don’t matter without the right data powering them.

SKA Signs Big Data Cooperation Agreement with CERN

SKA Organisation and CERN, the European Laboratory for Particle Physics, signed an agreement formalising their growing collaboration in the area of extreme-scale computing. The agreement establishes a framework for collaborative projects that addresses joint challenges in approaching Exascale computing and data storage, and comes as the LHC will generate even more data in the coming decade and SKA is preparing to collect a vast amount of scientific data as well.

A New Weapon in the Fight Against Opioid Addiction: Behavioral Analytics

In this special guest feature, David Hom, Chief Evangelist at SCIO Health Analytics®, supports his belief that sophisticated behavioral analytics is the key to uncovering patients who are likely to be or become addicted to prescription opioids.

When Big Data Doesn’t Work

The use of big data is no longer a strategy for advanced and technologically innovative companies to gain a competitive edge. It is a necessity for all businesses across all industries. Collecting data is not enough. Businesses need to understand how to translate their data into competitive strategies and advantages. In the infographic below, courtesy of our friends at Villanova University, you’ll review the challenges of big data.

Understanding Large-scale Plant Health, Rezatec Analyzes Satellite Data to Map Tree Species and Disease in Large Forested Areas

By developing pioneering data analysis techniques and machine learning algorithms, Rezatec is now able to produce powerful analytical insights for owners and managers of the world’s forests.

StackShare Database Index

Our friends over at StackShare recently reached out to insideBIGDATA to provide their latest Database Index. To compile the StackShare Database Index, StackShare — one of the world’s largest developer communities, with 100,000+ CTOs and developers at companies like Spotify, Airbnb, Instacart, and Dropbox sharing and discussing their tech stacks — conducted original research on which databases are most widely used right now, and which are most in-demand by recruiters.

Hazelcast Adoption Continues to Grow as Open Source IMDG is Embedded in Multiple Apache Projects

Hazelcast, a leading open source in-memory data grid (IMDG), released figures demonstrating a notable increase in phone homes and downloads – in 2017 these have increased by 54% reaching 26 million per month. As Hazelcast IMDG becomes more widely adopted in the open source community, Apache Gora became the latest Apache project to use Hazelcast IMDG.

The Modern Problem of Collecting Network Data

In this contributed article, technology writer and blogger Kayla Matthews discusses how in light of the emergence of big data, IT infrastructure and network properties are changing. Where previously, the hardware only needed to support a conventional traffic load, now it also needs to support monitoring and the storage of collected data.