Predictions from the Clouds  – A Comparative Analysis of Cloud based Machine Learning Platforms

Predictions from the Clouds  – A Comparative Analysis of Cloud based Machine Learning Platforms

Answering the needs of the market, all major cloud vendors have released their own Machine Learning platforms. These platforms enable enterprises to perform complex machine learnin ...

Pricing of Google Cloud Computing Services – It’s Different!

Pricing of Google Cloud Computing Services – It’s Different!

Google has done the smart thing - it has taken away all the uneasiness and awkwardness generally felt while discussing pricing, be it with a new client or with an established one. ...

Are you a Big Data expert?

Big Data Cloud is looking for Big Data experts who love to write. We are making Big Data Cloud as a premier destination for all things Big Data. We are looking for Big Data experts who love to blog. The content has to be original and thoughts should be inspiring. So, if you know your Big Data stuff and want to spread your thoughts across the blogosphere, you have come to the right place. Blogging on Big Dat ...

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Dataflow/Beam & Spark: A Programming Model Comparison – Cloud Dataflow — Google Cloud Platform

With the programming model/SDK portion of Google Cloud Dataflow moving into an Apache Software Foundation incubator project, Apache Beam, we thought now a good time to discuss the unique features and capabilities that distinguish Dataflow from Apache Spark, from a strictly programming-model perspective. Dataflow is unique amongst data parallel systems in that it is built upon a comprehensive model for out-o ...

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AI Is Transforming Google Search. The Rest of the Web Is Next

YESTERDAY, THE 46-YEAR-OLD Google veteran who oversees its search engine, Amit Singhal, announced his retirement. And in short order, Google revealed that Singhal’s rather enormous shoes would be filled by a man named John Giannandrea. On one level, these are just two guys doing something new with their lives. But you can also view the pair as the ideal metaphor for a momentous shift in the way things work ...

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Predictions from the Clouds  – A Comparative Analysis of Cloud based Machine Learning Platforms

Answering the needs of the market, all major cloud vendors have released their own Machine Learning platforms. These platforms enable enterprises to perform complex machine learning algorithms at the ease and scale of the clouds. Microsoft Azure ML https://azure.microsoft.com/en-us/services/machine-learning/ Amazon Machine Learning  https://aws.amazon.com/machine-learning/ DataBricks Cloud https://databrick ...

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Edge Analytics An Antidote To IoT Data Deluge – InformationWeek

Edge Analytics An Antidote To IoT Data Deluge As more organizations embrace the IoT, some may find themselves overwhelmed by the volume of data generated. Edge analytics can reduce the need to store and process it all at a central location. Here are the details. Gartner estimates that the Internet of Things (IoT) will include 26 billion devices by 2020. Organizations in virtually every industry are using Io ...

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Apache Hadoop at 10 – Cloudera VISION

2016 marks the 10th Anniversary of Hadoop. This birthday provides us an opportunity to celebrate, and also to reflect on how we got here and where we are going. Hadoop has come to symbolize big data, itself central to this century’s industrial revolution: the digital transformation of business. Ten years ago, digital business was limited to a few sectors, like e-commerce and media. Since then, we have seen ...

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How Big Data And Analytics Are Changing Hotels And The Hospitality Industry – Forbes

The hotel and hospitality sector caters to millions of travellers every day, and each one of them checks in with their own set of expectations. Meeting those expectations is the key to getting people to return, and increasingly hotel and leisure operators are turning to advanced analytics solutions for clues about how to keep their customers happy.Additionally, although their marketing departments would be ...

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Improving First-Party Bank Fraud Detection with Graph Databases – Neo4j Graph Database

First-party bank fraud involves fraudsters who apply for credit cards, loans, overdrafts and unsecured banking credit lines, with no intention of paying them back. It is a serious problem for banking institutions. U.S. banks lose tens of billions of dollars every year to first-party fraud, which is estimated to account for as much as one-quarter or more of total consumer credit chargeoffs in the United Stat ...

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