IOT Ingestion & Analytics Using Apache Apex - A Native Hadoop Platform

DataTorrent

Internet of Things (IoT) devices are becoming more ubiquitous in consumer, business and industrial landscapes. They are being widely used in applications ranging from home automation to the industrial internet.
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Spotlight

In 1978 New York City structural engineer William LeMessurier received an odd call from a student. LeMessurier had recently unveiled the Citicorp skyscraper in Manhattan, a building with two design distinctions: a 45-degree chop at the top, as if it wore a jaunty hat, and at bottom four multistory supporting pillars placed by the sides, and not corners, of the walls. This created a remarkable view from the street — several stories above the ground, the corners of the building hung out over empty space. The engineering student, puzzled by this, had run math on what might happen when high winds hit the building, and suggested in a big storm, the entire Citicorp building might tumble down.


OTHER ON-DEMAND WEBINARS

Reading Excel data into MATLAB with a GUI, Part 4

"Doug Hull, MathWorks (Originally posted on Doug's MATLAB Video Tutorials blog.) Since those videos were originally posted, I have gotten quite a few requests to expand the GUI to do some analysis. This video shows how I was able to add analysis capabilities to the GUI. We do a simple normalization of the data, but you could expand this to do more exotic calculations. For a more extensive GUI, I would add the ability to choose from many different types of calculations and to do custom analysis."
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Get Better Customer Insight Through Location Analytics

Newgrove

With 82% of all data now having location content, brands cannot afford to ignore the importance of location when gaining insight on the customers, they need to understand where they are, and where they are going to be. With this additional insight, clients not only understand the attributes of existing data, but also gain insight into what influences customers.
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Implementing an Effective Big Data Solution: a webinar by Dell, IDC, IDG, and Siemens PLM

Implementing an effective big data solution requires blending a number of distinct technologies into a cohesive whole. This on-demand webinar explores…
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Enabling Exploratory Analysis of Large Data with Apache Spark and R

Databricks Inc

R has evolved to become an ideal environment for exploratory data analysis. The language is highly flexible - there is an R package for almost any algorithm and the environment comes with integrated help and visualization. SparkR brings distributed computing and the ability to handle very large data to this list. SparkR is an R package distributed within Apache Spark. It exposes Spark DataFrames, which was inspired by R data.frames, to R. With Spark DataFrames, and Spark’s in-memory computing engine, R users can interactively analyze and explore terabyte size data sets.
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Spotlight

In 1978 New York City structural engineer William LeMessurier received an odd call from a student. LeMessurier had recently unveiled the Citicorp skyscraper in Manhattan, a building with two design distinctions: a 45-degree chop at the top, as if it wore a jaunty hat, and at bottom four multistory supporting pillars placed by the sides, and not corners, of the walls. This created a remarkable view from the street — several stories above the ground, the corners of the building hung out over empty space. The engineering student, puzzled by this, had run math on what might happen when high winds hit the building, and suggested in a big storm, the entire Citicorp building might tumble down.

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