In-Memory Computing Summit 2016

In-Memory Computing Summit 2016

The best minds of the In-Memory Computing industry will gather in San Francisco on May 23-24 for IMC Summit 2016 to network, learn and exchange ideas that will power the future of ...

Big Data Analytics at FaceBook

Big Data Analytics at FaceBook

This meetup will be an “unconference” style one and will have various presentations to choose from. Please review the topics below and upon registering, select your 2 preferred top ...

Data Warehousing With Google BigQuery

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 wareho ...

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

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 t ...

Predictive policing: The future of law enforcement

Predictive policing: The future of law enforcement

As Dj Das, founder and CEO of Third Eye Consulting Services, sums it up, “For fighting crime and keeping every citizen safe, Microsoft has the most sophisticated cloud-based big da ...

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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This company is using Amazon Snowmobile to transfer petabytes of data to the cloud

One of the most dramatic announcements from Amazon Web Services at its 2016 re:Invent conference was the announcement of Snowmobile: It’s a 45’ semi truck that trailers a data center on wheels. Customers can load it up with up to 100 petabytes of data per Snowmobile, which is then driven to an AWS data center and loaded into the company’s cloud. It begs the question: Who’s actually using this? DigitalGlobe ...

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BMW’s vision for connected cars includes Cortana in your dash | Windows Central

BMW is at CES showing off a range of tech it envisions as part of a connected car experience. While the entire vision is a neat look into where BMW expects the near-future of connected, automated cars to go, one particular inclusion will stick out to Microsoft fans: Cortana. AS shown off as part of CES 2017 demo, BMW sees Cortana living in the car's dash to offer the same voice-activated assistance with whi ...

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Microsoft launches a new cloud platform for connected cars | TechCrunch

Microsoft isn’t building its own connected car — but it is launching a new Azure-based cloud platform for car manufacturers that want to use the cloud to power their own connected-car services. The new Microsoft Connected Vehicle Platform will go live as a public preview later this year. “This is not an in-car operating system or a ‘finished product’,” Microsoft’s EVP for business development Peggy Johnson ...

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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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Nebula as a Storage Platform to Build Airbnb’s Search Backends – Airbnb Engineering & Data Science – Medium

Last year Airbnb grew to a point that a scalable and distributed storage system was required to store data for some applications. For example, personalization data for search grew larger than what a single machine can hold. While we could rebuild just the personalization service to scale up, we foresaw other services to have similar requirements and decided to build a common platform to simplify such tasks ...

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IBM Wants To Build AI That Isn’t Socially Awkward

Though artificial intelligence experts may cringe at the portrayals of humanlike AI in science fiction, some researchers are nudging us closer to those visions. "I think it's useful that your user interface not only understand your emotions, your personality, your tone, your motivations, but that it also have a set of emotions, personality, motivations," says Rob High, the CTO of IBM Watson. "I think that m ...

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Artificial intelligence finds its way into business through sales | TechCrunch

Artificial intelligence (AI) had a coming out party of sorts in 2016. Even though it has been in development for decades, this year, with the perfect combination of cheap computing power and access to increasing amounts of data, it seems AI’s time has come. Its first foray in business has been directed at making salespeople more efficient at every level of the sales workflow. If you think about it, it makes ...

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Data Wrangling at Slack

For a company like Slack that strives to be as data-driven as possible, understanding how our users use our product is essential. The Data Engineering team at Slack works to provide an ecosystem to help people in the company quickly and easily answer questions about usage, so they can make better and data informed decisions: “Based on a team’s activity within its first week, what is the probability that it ...

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Achieving a 300% speedup in ETL with Apache Spark – Cloudera Engineering Blog

A common design pattern often emerges when teams begin to stitch together existing systems and an EDH cluster: file dumps, typically in a format like CSV, are regularly uploaded to EDH, where they are then unpacked, transformed into optimal query format, and tucked away in HDFS where various EDH components can use them. When these file dumps are large or happen very often, these simple steps can significant ...

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