big data analytics for pharma summit 2017

, corresponding to the epl is also capable of dynamic updates without service interruption. A typical deployment structureEPL Sample:Event Filtering and routingInsert INTO Substream Select D1, D2, D3, D4From rawstream where D1 = 2045573 or D2 = 2047936 or D3 = 2051457 or D4 = 2053742; Filtering@PublishOn (topics= "TOPIC1")//Publish sub stream at TOPIC1@OutputTo ("Outboundmessagechannel")@ClusterAffinityTag (column = D1); Partition key based on column D1SELECT * from Substream;Aggregate comput

accumulated rich experience and leading technology, in the domestic first launched with independent intellectual property rights of the Venus Chen Tai TM Big Data security analysis platform. The platform helps customers realize the security attacks and threats that traditional security products cannot detect by means of various analytical methods and technologies such as the popular correlation analysis, m

In order to avoid unnecessary trouble. Some of the data is not very clear, the key to see the point of thinking.Through statistical analysis of big data, I found that a linear formula can be used to perfectly fit a user conversion link. Based on this formula, we make predictions about the data that haven't occurred rec

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1 , visual analysisBig Data analysis users have big data analysis experts, but also the average user, but they are the most basic requirements for big data analysis is visual analysis, because visual analysis can visualize big

Training Big Data architecture development, mining and analysis!from zero-based to advanced, one-to-one training! [Technical qq:2937765541]--------------------------------------------------------------------------------------------------------------- ----------------------------Course System:get video material and training answer technical support addressCourse Presentation (

data has always played a key role in the business, but the rise of big data analytics, the vast amount of stored information that can be mined in computing, reveals valuable insights, patterns, and trends that are almost indispensable in modern business. The ability to collect and analyze these

Openfea is a one-stop big Data agile analysis system, integrating memory computing, cluster computing, machine learning, interactive analysis, visual analysis and other technologies, including data collection, data exploration, build models, model release and other functions, analysis performance, easy to use,

The evolution of the Apache Kylin Big data analytics PlatformExt.: http://mt.sohu.com/20160628/n456602429.shtmlI am Li Yang from Kyligence, co-founder and CTO of Shanghai Kyligence. Today I am mainly here to share with you the new features and architecture changes of Apache Kylin 1.5.　　　　What is Apache Kylin?　　Kylin is an open source project developed in the last

application development, covering Python data types and structures, data visualization with Matplotlib, Financial time series data processing, high performance input/output operations, high-performance Python technology and libraries, multiple mathematical tools required in finance, random number generation and stochastic process simulations, Python statistics a

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Core components of the spark Big data analytics frameworkThe core components of the Spark Big Data analysis framework include RDD memory data structures, streaming flow computing frameworks, Graphx graph computing and mesh

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