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Data Science 101: Deep Learning for Language Understanding

Data Science

The presentation below, “Deep Learning for Language Understanding,” took place at the Deep Learning Summit in San Francisco on 29-30 January 2015. The featured speaker is Quoc Le, Research Scientist at Google.

Big Data Technology for Manufacturing

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This article is the third in an editorial series with a goal to provide strategic direction for enterprise thought leaders in the manufacturing sector for ways of leveraging the big data technology stack in support of analytics proficiencies designed to work more independently and effectively in today’s climate of striving to increase the value of corporate data assets.

GridGain Solutions for SaaS Enablement

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This article is the sixth and last in an editorial series with a goal to provide direction for SaaS company thought leaders on ways to achieve higher levels of scalability and performance through use of in-memory computing technology.

Common Big Data Pain Points for Manufacturers

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This article is the second in an editorial series with a goal to provide strategic direction for enterprise thought leaders in the manufacturing sector for ways of leveraging the big data technology stack in support of analytics proficiencies designed to work more independently and effectively in today’s climate of striving to increase the value of corporate data assets.

Data Science 101: Excel Tutorial on Analyzing Large Data Sets

Data Science

Our friends over at Udemy partnered with data scientist David Taylor (specialist in data spelunking and visualization) to create a fun (and free) Excel tutorial on analyzing large data sets.

ApacheCon North America

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ApacheCon North America 2015 brings together the open source community to learn about and collaborate on the technologies and projects driving the future of open source, big data and cloud computing.

Advantages of an In-Memory Data Fabric over Alternative Technologies

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This article is the fourth in an editorial series with a goal to provide direction for SaaS company thought leaders on ways to achieve higher levels of scalability and performance through use of in-memory computing technology.

Metanautix Launches Personal Quest Data Compute Engine for Individual Users

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Metanautix, a big data analytics company focused on simplifying the data supply chain, today announced the availability of Metanautix Personal Quest. Personal Quest allows individual users to make rapid decisions on data assets of different format, shape and location using preferred tools like Tableau and the high-level functionality of standard SQL.

GridGain Webinar: Hyperscaling Your SaaS Infrastructure

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Software as a Service (SaaS) is a software distribution model in which applications are hosted by a vendor or service provider and made available to customers over the Internet. Instead of companies installing software on their own servers, known as the on premises distribution model, application software providers host the software in the cloud and […]

Benefits to SaaS Companies When Adopting an In-Memory Data Fabric

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This article is the third in an editorial series with a goal to provide direction for SaaS company thought leaders on ways to achieve higher levels of scalability and performance through use of in-memory computing technology.