Big Data Insights
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Article
Data lake and data warehouse – know the differenceData lake – is it just marketing hype or a new name for a data warehouse? Find out what a data lake is, how it works and when you might need one.
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Article
5 machine learning mistakes and how to avoid themMachine learning is not magic. It presents many of the same challenges as other analytics methods. Learn how to overcome those challenges and incorporate this technique into your analytics strategy.
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Article
How openness can supercharge event stream analyticsWhat does openness do for event stream analytics? David Loshin shows how it helps you speed and govern the full streaming analytics life cycle.
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Article
Big data: The gold mine of investigative policingFind out what's needed to capitalize on big data for a significant impact your investigators' work and outcomes.
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Research - Third Party
IoT success depends on data governance, security and privacyThe IoT puts intense demands on the data management life cycle. Learn from 10 common mistakes organizations have made with IoT endeavors.
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Article
Top 10 articles of 2016Which topics were the most popular with our readers in 2016? Hadoop, data scientists, the IoT, machine learning and more.
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Article
Analytic simulations: Using big data to protect the tiniest patientsAnalytic models help researchers discover the best way to care for babies in the NICU, saving lives (and millions of dollars) in the process.
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Article
5 Challenges for IoT in the insurance industryIoT promises to substantially reduce losses in the insurance industry, but adoption is low. That will change when the industry overcomes these five challenges.
Big Data: The Basics
What is big data?
For most organizations, big data is the reality of doing business. It’s the proliferation of structured and unstructured data that floods your organization on a daily basis – and if managed well, it can deliver powerful insights.
Imagine being able to analyze data to determine the root cause of failures. Or detect fraudulent behavior before it affects revenue. Implementing the right solutions to make the most of your big data – from data management to analytics – can be key to your business success.
Big Data Analytics
As data floods your organization on a daily basis, the question is no longer "What is big data?" It’s "What can we do with the big data we have?" The answer, of course, is integral to the future of your business. With big data analytics, you can implement data mining, predictive analytics, text mining, forecasting and optimization to explore options and make the best possible business decisions.
Hadoop
Organizations with massive volumes of data are turning to Hadoop to extract value from all that information. But what is Hadoop, exactly – and how can it help your organization? Learn how Hadoop is evolving to meet the big data challenges of today and tomorrow. And how you can take advantage of data management, data visualization and analytics to get faster, more meaningful insights from your Hadoop environment.
Data Visualization
Some say seeing is believing. But when it comes to data visualization, seeing is understanding. When your data comes to life in charts and graphs, you start to see things you’ve never seen before. Trends. Truths. Solutions that give you an edge over the competition. And now that big data has become pervasive in most organizations, data visualization is key to putting it in perspective.
Internet of Things
Connecting our cars, homes, gadgets and machines to the Internet creates a network of connected objects called the Internet of Things. How can the data streaming to and from these objects be understood to benefit your organization, improve your daily routine or address society’s biggest challenges? Find out now.
