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Apache Beam and Spark: New coopetition for squashing the Lambda Architecture? | ZDNet

The nice thing about open source projects and standards is that there are so many of them to choose from. And on January 10, the Apache community welcomed Beam as its latest "top level" project (getting top level means your project has made it to prime time in Apache). Google traditionally kept its technology to itself, typically publishing research papers that the open source community would then reinvent ...

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Deep Learning on Databricks – The Databricks Blog

We are excited to announce the general availability of Graphic Processing Unit (GPU) and deep learning support on Databricks! This blog post will help users get started via a tutorial with helpful tips and resources, aimed at data scientists and engineers who need to run deep learning applications at scale. What’s new? Databricks now offers a simple way to leverage GPUs to power image processing, text analy ...

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TensorFrames on Google’s TensorFlow and Apache Spark – YouTube

[embed]https://www.youtube.com/watch?v=08mrnJxcIWw[/embed] Tim Hunter presented at the Bay Area Spark Meetup @ Salesforce: TensorFrames on Google’s TensorFlow and Apache Spark. In this talk, Tim Hunter, Databricks Software Engineer, discusses how to combine Apache Spark with TensorFlow, a new framework from Google that provides building blocks for Machine Learning computations on GPUs. Through a binding bet ...

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Land O’Lakes maps out farming’s future with Google cloud | Network World

Farmers looking for ways to increase their crop output are using more technology and relying a little less on intuition. Farmers associated with Land O'Lakes, a dairy-focused, agricultural cooperative in Minnesota, are using online tools and apps to visualize their fields and to analyze the data in such areas as water management, seed placement and crop diseases. To do that, Land O'Lakes, known for producin ...

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33x Faster Queries on Google Cloud’s Dataproc

I'd like to thank Felipe Hoffa, Developer Advocate at Google and Dennis Huo, Tech Lead and Manager of Google Cloud's Dataproc for their research and insights they shared with me on getting better performance out of Dataproc. A few weeks ago I published a blog post outlining how to launch a 5-node Dataproc cluster on Google's Cloud service. In that post I hadn't taken the time to tune any table or storage ba ...

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Data Warehousing With Google BigQuery

Data warehousing and the resulting business intelligence are the basic necessities of business today. And today’s technologies makes it possible to have a sophisticated data warehouse up and running in the clouds at a price and scale that was never possible before.     This webinar showcases the reasons, ways and means of developing such modern day data warehouses using Google BigQuery.   ...

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Innovative Big Data Application Optimizes Lead Conversions, built on the Google Cloud Platform – CASE STUDY

In the era of Big Data, many enterprise executives are struggling with the sheer volume of available data and how to transform all that information into intelligence they can use to make the best business decisions. Typically, they try to determine exactly what data is available and then apply it to a specific question or problem. Unfortunately, this is an ineffective strategy, returning only fifty cents on ...

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Inside Google’s Cloud Platform – A report by Deutsche Bank

This report has an in-depth investigation by Deutsche Bank about the Google Cloud Platform and how it compares against established competitors like Amazon AWS and Microsoft Azure. Third Eye participated in the due diligence process and is mentioned in the report. Deutsche Bank states: We estimate GCP is at a $400m revenue run-rate, likely growing faster than AWS/Azure but off a much smaller base (AWS may be ...

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Spotify’s Event Delivery – The Road to the Cloud (Part II) | Labs

Whenever a user performs an action in the Spotify client—such as listening to a song or searching for an artist—a small piece of information, an event, is sent to our servers. Event delivery, the process of making sure that all events gets transported safely from clients all over the world to our central processing system, is an interesting problem. In this series of blog posts, we are going to look at some ...

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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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