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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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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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Exactly-once Semantics is Possible: Here’s How Apache Kafka Does it

I’m thrilled that we have hit an exciting milestone the Kafka community has long been waiting for: we have introduced exactly-once semantics in Apache Kafka in the 0.11 release. In this post, I’d like to tell you what exactly-once semantics mean in Apache Kafka, why it is a hard problem, and how the new idempotence and transactions features in Kafka enable correct exactly-once stream processing using Kafka’ ...

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Baidu employs the PaddlePaddle framework internally for prediction systems, along with Python to make training models and deriving predictions a snap Many of the latest machine learning and data science tools purport to be easy to work with compared to previous generations of such frameworks and libraries. Chinese search engine giant Baidu now has an open source project in the same vein: a machine learning ...

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