data pipeline using hadoop bigdata


Apache Spark makes it possible by using its streaming APIs. Also, Hadoop MapReduce processes the data in some of the architecture. … Since components such as Apache Spark and Apache Kafka run on a Hadoop cluster, thus they are also covered by this security features and enable a robust big data pipeline system

Building LinkedIns Real-time Activity Data Pipeline .
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One trend in the implementation of modern web systems is the use of activity data in the form of log or event messages that capture user and server activity. This data is at the heart of many internet systems in the domains of advertising, relevance, search, recommendation

Automatic pipeline analysis of 3-D MRI data for clinical trials: application to multiple sclerosis
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IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 2 NO. OCTOBER 2002 Automatic Pipeline Analysis of 3-D MRI Data for Clinical Trials: Application to Multiple Sclerosis

Three protocols for securing the Data Pipeline of the international supply chain
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In order to make the international supply chain system highly efficient in worldwide transportation of goods, its business processes should be supported by high quality information systems that, 24×7 , provide the right data, at the right time, at the right place, to

A data pipeline for PHM data-driven analytics in large-scale smart manufacturing facilities
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The term smart manufacturing refers to a future-state of manufacturing, where the real-time transmission and processing of information across the factory will be used to produce advanced manufacturing intelligence that can optimize every aspect of its operation. In

The LSST data processing pipeline
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in all available bands Computational Requirements Two broad requirements determine the computational capacity required by the LSST data pipeline : The pipeline must not fall behind in processing observations during a night. This requires completely

Enhancing the data pipeline for novel traits in the genomic era: From farms to DHI to evaluation centres
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Sophisticated statistical methods are used to predict the genetic merit of individuals. By utilizing millions of performance records from daughters, parents and other relatives, genetic and environmental effects are well separated to predict the genetic worth of each animal

Analysis of the corroded pipeline segments using in-line inspection data
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Smart pigs offer more definitive integrity data , Pipeline and Gas, In-line inspection ensures reliability, Pipeline and Gas,

Data Sharing Issues and Potential Solutions for Adoption of Information Infrastructures: Evidence from a Data Pipeline Project in the Global Supply Chain over
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Abstract Information infrastructures have gained significant momentum in todays information economy. They are defined as shared, open and evolving socio-technical systems providing distinct IT capabilities. The Cassandra EU project aims to enhance visibility of the

Data pipeline
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The present state of the art in transmission systems for all these applications is the digital, wireless network. The first radio signal was transmitted as early as 1886 by Heinrich Hertz using a spark gap. The development of antennas replaced the spark gap in the course of

Data Pipeline Selection and Optimization.
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Data pipelines are known to influence machine learning performances. In this paper, we formulate the data pipeline hyperparameter optimization problem as a standard optimization problem that can be solved by (meta) optimizer. We apply Sequential Model-Based

HAP-Fr, a pipeline of data analysis for the HESS-II experiment
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It allows to analyse raw data to provide final products, eg spectra or sky maps. This paper provides a description of the data pipeline in section 2. The algorithms of events reconstruction and γ 2. Overview of the data pipeline HAP

Realize the value of pipeline data management across the enterprise by exploiting legacy databases
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Given good system design focused on meeting the individual needs of the organisation, existing enterprise data sources in addition to best practices for managing and maintaining their data , pipeline organisations can start to experience the benefits of integrated data

Port community systems interoperability with the data pipeline , a case study in the port of Rotterdam
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Page 1. Executive Master in Customs and Supply Chain Compliance. July 2017 Port community systems interoperability with the data pipeline , a case study in the port of Rotterdam Stefan Verhagen Port community systems offer a platform for information exchange in one port or one

Open City Data Pipeline
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Page 1. Open City Data Pipeline Axel Polleres formerly: Siemens AG sterreich, now WU Wien, Austria Page 2. 2 City Data Important for Infrastructure Providers for City Decision Makers however, these are often outdated before even published! Goal (short term): Leverage Open Data

Juno Instrument Data Pipeline Monitoring aka Wheres My Data
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Page 1. Juno Instrument Data Pipeline Monitoring aka Wheres My Data Maddalena Jackson Marla Thornton Jet Propulsion Laboratory, California Institute of Technology 2012 by JPL/Caltech. Published by The Aerospace Corporation with permission. Page 2. Overview Who

THE DATA PIPELINE
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Executive summary Government agencies and businesses cooperate and invest heavily to achieve a reliable and secure global supply network. Supply chain visibility and transparency along with businessto-business and business-to-government interaction are

Open City Data Pipeline
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Having access to high quality and recent data is crucial both for decision makers in cities as well as for informing the public, likewise, infrastructure providers could offer more tailored solutions to cities based on such data. However, even though there are many data sets

Rewriting an Antarctic Research Data Pipeline
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Abstract The PENGUIn Automated Geographical Observatories contain a wide variety of instruments which gather data pertaining to space physics. This data is made available via Augsburg College which handles the processing, graphing, and hosting of the data. The

IR Data Pipeline Using Fowler Sampling
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We have created a data reduction pipeline to characterize data from infrared detectors, which are tested by the Goddard Space Flight Center Detector Characterization Laboratory for the purpose of choosing a flight detector for the WFC3 infrared channel. The details of the

Toward a serverless data pipeline
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In the last decades, the amount of data available has grown exponentially. It is challenging to build systems handling this massive data, achieving scalability, high avalability and fault- tolerance while keeping the cost low. Serverless architecture addresses this problem