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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 ...

Getting Started Analyzing Twitter Data in Apache Kafka through KSQL

KSQL is the open source streaming SQL engine for Apache Kafka. It lets you do sophisticated stream processing on Kafka topics, easily, using a simple and interactive SQL interface. In this short article we’ll see how easy it is to get up and running with a sandbox for exploring it, using everyone’s favourite demo streaming data source: Twitter. We’ll go from ingesting the raw stream of tweets, through to fi ...

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Go Python, Go! Stream Processing for Python · Wallaroo Labs

We’ve been hard at work for 18 months on a new processing engine called Wallaroo for deploying and operating big data, fast data, and machine learning applications. We designed Wallaroo to make the infrastructure virtually disappear, so you get rapid deployment and easy-to-operate applications. It provides a simple model for building fast applications that scale automatically across any number of workers. W ...

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How Big Data Could Help Prevent Fatal Heart Attacks

To celebrate World Heart Day, which was on Sept. 29, today I will join the American Heart Association Conference, AHA Health Tech & Innovation Forum to discuss how emerging technologies can transform and create healthy communities. According to the American Heart Association, approximately 2,200 Americans die of cardiovascular disease each day, an average of one death every 40 seconds. In fact, cardiova ...

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Open Sourcing Vespa, Yahoo’s Big Data Processing and Serving Engine

Ever since we open sourced Hadoop in 2006, Yahoo – and now, Oath – has been committed to opening up its big data infrastructure to the larger developer community. Today, we are taking another major step in this direction by making Vespa, Yahoo's big data processing and serving engine, available as open source on GitHub. Vespa architecture overview Building applications increasingly means dealing with huge a ...

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Publishing with Apache Kafka at The New York Times | Confluent

At The New York Times we have a number of different systems that are used for producing content. We have several Content Management Systems, and we use third-party data and wire stories. Furthermore, given 161 years of journalism and 21 years of publishing content online, we have huge archives of content that still need to be available online, that need to be searchable, and that generally need to be availa ...

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Unite Real-Time and Batch Analytics Using the Big Data Lambda Architecture, Without Servers! | AWS Big Data Blog

The Big Data Lambda Architecture seeks to provide data engineers and architects with a scalable, fault-tolerant data processing architecture and framework using loosely coupled, distributed systems. At a high level, the Lambda Architecture is designed to handle both real-time and historically aggregated batched data in an integrated fashion. It separates the duties of real-time and batch processing so purpo ...

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Introducing KSQL: Open Source Streaming SQL for Apache Kafka

What does it even mean to query streaming data, and how does this compare to a SQL database? Well, it’s actually quite different to a SQL database. Most databases are used for doing on-demand lookups and modifications to stored data. KSQL doesn’t do lookups (yet), what it does do is continuous transformations— that is, stream processing. For example, imagine that I have a stream of clicks from users and a t ...

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Using Apache Kafka as a Scalable, Event Driven Backbone for Service Architectures

The last post in this microservices series looked at building systems on a backbone of events, where events become both a trigger as well as a mechanism for distributing state. These have a long history of implementation using a wide range of messaging technologies. But while Apache Kafka™ is a messaging system of sorts, it’s quite different from typical brokers. It comes with both pros and cons and, like a ...

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TensorForce: A TensorFlow library for applied reinforcement learning – reinforce.io

This blogpost will give an introduction to the architecture and ideas behind TensorForce, a new reinforcement learning API built on top of TensorFlow. This post is about a practical question: How can the applied reinforcement learning community move from collections of scripts and individual examples closer to an API for reinforcement learning (RL) — a ‘tf-learn’ or ‘skikit-learn’ for RL? Before discussing ...

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When every drop counts: Schneider Electric transforms agriculture with the Internet of Things for sustainable farming – Transform

In the grassy Canterbury Plains of New Zealand, Craig Blackburn raises cattle and sheep in a line of work with a long tradition, in which he keeps a close eye on crops, land, weather and water. But Blackburn blends modern technology with his agricultural roots to manage the 990-acre Blackhills farm, a complex, bustling operation with 2,100 cattle and 800 sheep. The farm runs on irrigated water from the scen ...

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