Zalando Engineering

MARCH 2, 2015

February 21, 2015 marked another milestone in the success story of Zalando: we sent a shoe into the stratosphere! After a failed launch in mid-December during our Zalando Hack Week, the Space Shoe Team resolved to persevere and try again. Over the following weeks we made some adjustments to our prototype and planned a new attempt. Our fine-tuning included buying a more resistant rope for holding the ship; improving the coordination around releasing the balloon and craft so that we could avoid ov

IT 52

IT Engineering Process 52

ProjectPro

MARCH 19, 2015

Big Data NoSQL databases were pioneered by top internet companies like Amazon, Google, LinkedIn and Facebook to overcome the drawbacks of RDBMS. RDBMS is not always the best solution for all situations as it cannot meet the increasing growth of unstructured data. As data processing requirements grow exponentially, NoSQL is a dynamic and cloud friendly approach to dynamically process unstructured data with ease.IT professionals often debate the merits of SQL vs.

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NoSQL Big Data SQL Database-centric 49

ProjectPro

MARCH 27, 2015

Big data analytics is new to sports but not a novel concept to businesses. The collection and analysis of huge amounts of unstructured data i.e. big data to optimize performance is transforming the society. Big data in sports is no exception as increased number of sports teams across the globe are leveraging analytics to plan novel gaming strategies and evaluate players efficiently so that they can stay head of the competition.

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Big Data Data Analytics Hadoop Media 40

ProjectPro

MARCH 25, 2015

The amount of big data telecommunication industry generates has high velocity and volume. In a hypercompetitive industry, to be profitable and successful telecommunication companies have to differentiate their offerings and target customers effectively. With information collected about customer behaviour and preferences, big data in telecom means bigger opportunities for telecommunication companies.

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Telecommunication Hadoop Electronics Big Data 40

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Architecture

ProjectPro

MARCH 23, 2015

Hadoop 1.0 was intensive and played a significant role in processing large data sets, however it was not an ideal choice for interactive analysis and was constrained for machine learning, graph and memory intensive data analysis algorithms. In one of our previous articles we had discussed about Hadoop 2.0 YARN framework and how the responsibility of managing the Hadoop cluster is shifting from MapReduce towards YARN.

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Hadoop Big Data Architecture Metadata 40

ProjectPro

MARCH 16, 2015

There is a lot of buzz around big data making the world a better place and the best example to understand this is analysing the uses of big data in healthcare industry. Big data in healthcare is used for reducing cost overhead, curing diseases, improving profits, predicting epidemics and enhancing the quality of human life by preventing deaths. Scientific research labs, hospitals and other medical institutions are leveraging big data analytics to reduce healthcare costs by changing the models of

Healthcare 40

Healthcare Big Data Project Hospitality 40