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Google/ASF Tackle Big Computing Trade-Offs with Apache Beam 2.0

Trade-offs are a part of life, in personal matters as well as in computers. You typically cannot have something built quickly, built inexpensively, and built well. Pick two, as your grandfather would tell you. But appare Read more…

Google Buys Data Science Competition Site Kaggle

Google has acquired Kaggle, a company that hosts data science competitions, the Web giant confirmed yesterday. Founded in 2010, Kaggle has hosted thousands of competitions pitting data scientists against one another in a race to elegantly solve tough machine learning challenges. More than 800,000 people have participated in Kaggle challenges, making it by far the biggest data science competition site. Read more…

Why Deep Learning, and Why Now

Deep learning is all the rage today, as companies across industries seek to use advanced computational techniques to find useful information hidden across huge swaths of data. While the field of artificial intelligence i Read more…

Tracking the Ever-Shifting Big Data Bottleneck

Bottlenecks are a fact of life in IT. No matter how fast you build something, somebody will find a way to max it out. While the performance headroom has been elevated dramatically since Hadoop introduced distributed comp Read more…

AI to Surpass Human Perception in 5 to 10 Years, Zuckerberg Says

Machine learning-powered artificial intelligence will match and exceed human capabilities in the areas of computer vision and speech recognition within five to 10 years, Facebook CEO Mark Zuckerberg predicted this week. Read more…

Apache Beam’s Ambitious Goal: Unify Big Data Development

If you're tired of using multiple technologies to accomplish various big data tasks, you may want to consider Apache Beam, a new distributed processing tool from Google that's now incubating at the ASF. One of the cha Read more…

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…

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