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How To Avoid the Technical Debt of Machine Learning

Machine learning provides us an extremely powerful mechanism for building personalized data-driven applications. However, the power doesn't come without costs or risks. Unfortunately, the downside of long-running machine Read more…

Meet Alluxio, the Distributed File System Formerly Known as Tachyon

Today marks the availability of Alluxio 1.0, the first major release of the memory-centric, virtual distributed file system formerly known as Tachyon. The graduate of UC Berkeley's AMPLab is already being used to manage Read more…

Happy Birthday, Hadoop: Celebrating 10 Years of Improbable Growth

It's hard to believe, but the first Hadoop cluster went into production at Yahoo 10 years ago today. What began as an experiment in distributed computing for an Internet search engine has turned into a global phenomenon Read more…

Google, Chipmaker Collaborate on Deep Learning For Mobile

Google and Movidius, a specialist in low-power machine vision chips, said this week they would collaborate to bring deep learning technology to mobile devices. Google (NASDAQ: GOOG) said Wednesday (Jan. 27) it would i Read more…

Google Is Using Big Data to Debunk Sickness Mysteries

Google has announced a new project called Verily that will use big data to more quickly identify disease and sickness before it becomes a deadly issue for the affected. Unlike other healthcare options, this project aims Read more…

Why Google Open Sourced Deep Learning Library TensorFlow

Google last week open sourced TensorFlow, a new machine learning library used in deep learning projects. Even though the Web giant has just started using the software in its products, it apparently felt the need to donat Read more…

Google Releases Dataflow, Announces Partners

Google is taking the wraps off its Dataflow hosted cloud service while announcing a batch of partnerships and third-party developers as part of an effort to reduce the operational hurdles associated with traditional data Read more…

Why Apple Isn’t Biting on ‘Data for Discounts’ Model

Apple is the most valuable company in the history of the world, with millions of loyal customers using its devices and software to communicate and connect to the Internet. Despite being in prime situation to mine its cus Read more…

Ex-Googler Now Helping Cloudera Build Hadoop

Cloudera scored a coup recently when it nabbed former Google executive Daniel Sturman to head up its engineering department. In an interview with Datanami, Sturman explains how he intends to use his experience designing Read more…

NOAA Launches Big Data Project

A big data project launched by the U.S. Commerce Department brings together major cloud analytics vendors and the Open Cloud Consortium to develop infrastructure needed to access the more than 20 terabytes of satellite w Read more…

Machine Learning Gets a Boost from Google

Search giant Google announced a partnership with Oxford University researchers that will target artificial intelligence applications such as image recognition and natural language understanding. Google said U.K. resea Read more…

Inside Sibyl, Google’s Massively Parallel Machine Learning Platform

If you've ever wondered how your spam gets identified in Gmail or where personal video recommendations come from on YouTube, the answer is likely Sibyl, a massively parallel machine learning system that Google developed Read more…

Google Re-Imagines MapReduce, Launches DataFlow

It's well known in the industry that more than 10 years ago Google invented MapReduce, the technology at the heart of first-generation Hadoop. It's less well known that Google moved away from MapReduce several years ago. Read more…

DataStax Puts Big Database in Google’s Cloud

When it comes to big databases running in the cloud, Amazon Web Services (AWS) has a virtual lock on the market. However, today Cassandra DB promoter DataStax and mega datacenter operator Google unveiled a partnership that will see the pair picking away at Amazon's dominance when it comes to cloud-hosted NoSQL databases for big data workloads. Read more…

Cloudera Search 1.0: Like Googling Hadoop

Organizations using Cloudera's Hadoop distribution have a new search option that promises to make it much easier to find information in Hadoop. In fact, the new Cloudera Search 1.0 offering is so easy that a Cloudera vice president compared it to using Google. Read more…

Data Center Building Boom Comes to Iowa

If you're a tech giant and you're looking for a place to build a new data center, there's a good chance that a location in Iowa will be on your short list. Several billion-dollar data center projects are in the works in Iowa, which offers relative security from natural disasters, tax incentives, and a thriving clean energy industry. Read more…

Bringing Dark Data to Light

One of the chief challenges of big data, especially where established science and research is concerned, is bringing what is called “dark data” – the data that is hidden in tables and texts of the massive stores of scientific journals – to light. A research team is working on this problem combining several research areas into a potentially powerful tool. Read more…

Predicting Financial Markets with a Google Search Counter

New research out of London corroborates in a simple manner the ability of big data to predict behavior, as it found that if one were to place investments solely based on change of Google search terms over time, one would have made a profit of 326 percent between the years of 2004 and 2011. Read more…

Can Big Data Throw Cable a Life Raft?

With the advent of on-demand streaming, the value of must-see television is diminishing. As streaming services like Netflix and Hulu cut into network shares, the broadcast industry has been forced to adjust to the evolving interests of its customers. Read more…

Behold, Google’s Time Lord

Maintaining temporal consistency across a worldwide network is a surprisingly difficult yet important task. Databases need to decide the correct order in which transactions across the world took place, a process made complicated by the amount of time it takes for satellites and data centers to receive the proper time from each other. Enter Spanner, Google’s system designed by engineers Andrew Fikes, Wilson Hsieh, Jeff Dean, and Sanjay Ghemawat which essentially standardizes time across its various satellites and data centers. Read more…

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