際際滷shows by User: rajekra / http://www.slideshare.net/images/logo.gif 際際滷shows by User: rajekra / Thu, 01 Jun 2017 19:58:15 GMT 際際滷Share feed for 際際滷shows by User: rajekra Real time web app integration with hadoop on docker /slideshow/real-time-web-app-integration-with-hadoop-on-docker/76572374 real-timewebappintegrationwithhadoopondocker-170601195815
Real time web app integration with hadoop on docker. Apache Spark For large data processing Apache Sqoop To integrate OLTP databases Apache HBase NoSQL store Apache Kafka Act as distributed ESB between Real-time application and cluster Apache Flume Web application log streaming Hadoop core [DFS, YARN]. Running hadoop in docker reference architecture.]]>

Real time web app integration with hadoop on docker. Apache Spark For large data processing Apache Sqoop To integrate OLTP databases Apache HBase NoSQL store Apache Kafka Act as distributed ESB between Real-time application and cluster Apache Flume Web application log streaming Hadoop core [DFS, YARN]. Running hadoop in docker reference architecture.]]>
Thu, 01 Jun 2017 19:58:15 GMT /slideshow/real-time-web-app-integration-with-hadoop-on-docker/76572374 rajekra@slideshare.net(rajekra) Real time web app integration with hadoop on docker rajekra Real time web app integration with hadoop on docker. Apache Spark For large data processing Apache Sqoop To integrate OLTP databases Apache HBase NoSQL store Apache Kafka Act as distributed ESB between Real-time application and cluster Apache Flume Web application log streaming Hadoop core [DFS, YARN]. Running hadoop in docker reference architecture. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/real-timewebappintegrationwithhadoopondocker-170601195815-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Real time web app integration with hadoop on docker. Apache Spark For large data processing Apache Sqoop To integrate OLTP databases Apache HBase NoSQL store Apache Kafka Act as distributed ESB between Real-time application and cluster Apache Flume Web application log streaming Hadoop core [DFS, YARN]. Running hadoop in docker reference architecture.
Real time web app integration with hadoop on docker from Rajasekaran kandhasamy
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Hadoop sqoop2 server setup and application integration /slideshow/hadoop-sqoop2-server-setup-and-application-integration/52396624 hadoop-sqoop2serversetupandapplicationintegration-150903190744-lva1-app6891
Detail instructions about installing Sqoop2 server on Ubuntu ,integrating with Hadoop and java application.]]>

Detail instructions about installing Sqoop2 server on Ubuntu ,integrating with Hadoop and java application.]]>
Thu, 03 Sep 2015 19:07:44 GMT /slideshow/hadoop-sqoop2-server-setup-and-application-integration/52396624 rajekra@slideshare.net(rajekra) Hadoop sqoop2 server setup and application integration rajekra Detail instructions about installing Sqoop2 server on Ubuntu ,integrating with Hadoop and java application. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/hadoop-sqoop2serversetupandapplicationintegration-150903190744-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Detail instructions about installing Sqoop2 server on Ubuntu ,integrating with Hadoop and java application.
Hadoop sqoop2 server setup and application integration from Rajasekaran kandhasamy
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Big Data Log File Use Cases And User Interface Design /rajekra/big-data-log-file-use-cases-and-user-interface-design bigdatalogfileusecasesuidesign-150903184627-lva1-app6892
Explained how big data analytics can apply for log files and what kind of user interface is appropriate for each case.]]>

Explained how big data analytics can apply for log files and what kind of user interface is appropriate for each case.]]>
Thu, 03 Sep 2015 18:46:27 GMT /rajekra/big-data-log-file-use-cases-and-user-interface-design rajekra@slideshare.net(rajekra) Big Data Log File Use Cases And User Interface Design rajekra Explained how big data analytics can apply for log files and what kind of user interface is appropriate for each case. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bigdatalogfileusecasesuidesign-150903184627-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Explained how big data analytics can apply for log files and what kind of user interface is appropriate for each case.
Big Data Log File Use Cases And User Interface Design from Rajasekaran kandhasamy
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Unified International Classification of Diseases (ICD) Services. /slideshow/unified-international-classification-of-diseases-icd-services-52303188/52303188 unifiedicdservicespublic-150901165209-lva1-app6892
Unified ICD Services (UIS) brings custom built clinical intelligence for doctors to determine correct ICD-10 diagnosis, surgical codes with faster and smarter approach. UIS additional features would provide more specific data up front to doctors/physicians to less follow-up and fewer denials after claims submission.]]>

Unified ICD Services (UIS) brings custom built clinical intelligence for doctors to determine correct ICD-10 diagnosis, surgical codes with faster and smarter approach. UIS additional features would provide more specific data up front to doctors/physicians to less follow-up and fewer denials after claims submission.]]>
Tue, 01 Sep 2015 16:52:09 GMT /slideshow/unified-international-classification-of-diseases-icd-services-52303188/52303188 rajekra@slideshare.net(rajekra) Unified International Classification of Diseases (ICD) Services. rajekra Unified ICD Services (UIS) brings custom built clinical intelligence for doctors to determine correct ICD-10 diagnosis, surgical codes with faster and smarter approach. UIS additional features would provide more specific data up front to doctors/physicians to less follow-up and fewer denials after claims submission. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/unifiedicdservicespublic-150901165209-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Unified ICD Services (UIS) brings custom built clinical intelligence for doctors to determine correct ICD-10 diagnosis, surgical codes with faster and smarter approach. UIS additional features would provide more specific data up front to doctors/physicians to less follow-up and fewer denials after claims submission.
Unified International Classification of Diseases (ICD) Services. from Rajasekaran kandhasamy
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Healthcare payer - Big data integration /slideshow/mmis-big-data-integration-public/43646882 mmisbigdataintegration-public-150118231116-conversion-gate01
MMIS/HealthCare Payer Applications depend upon traditional data base models and structured data analytics to fulfill their needs. These approaches, while adequate in the past, will not suffice to address future requirements. They lack the processing capability to load and query multi-terabyte datasets in a timely fashion and the flexibility to effectively manage unstructured and semi-structured data. Adapting Big Data platform to MMIS application will resolve above issues.]]>

MMIS/HealthCare Payer Applications depend upon traditional data base models and structured data analytics to fulfill their needs. These approaches, while adequate in the past, will not suffice to address future requirements. They lack the processing capability to load and query multi-terabyte datasets in a timely fashion and the flexibility to effectively manage unstructured and semi-structured data. Adapting Big Data platform to MMIS application will resolve above issues.]]>
Sun, 18 Jan 2015 23:11:16 GMT /slideshow/mmis-big-data-integration-public/43646882 rajekra@slideshare.net(rajekra) Healthcare payer - Big data integration rajekra MMIS/HealthCare Payer Applications depend upon traditional data base models and structured data analytics to fulfill their needs. These approaches, while adequate in the past, will not suffice to address future requirements. They lack the processing capability to load and query multi-terabyte datasets in a timely fashion and the flexibility to effectively manage unstructured and semi-structured data. Adapting Big Data platform to MMIS application will resolve above issues. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mmisbigdataintegration-public-150118231116-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> MMIS/HealthCare Payer Applications depend upon traditional data base models and structured data analytics to fulfill their needs. These approaches, while adequate in the past, will not suffice to address future requirements. They lack the processing capability to load and query multi-terabyte datasets in a timely fashion and the flexibility to effectively manage unstructured and semi-structured data. Adapting Big Data platform to MMIS application will resolve above issues.
Healthcare payer - Big data integration from Rajasekaran kandhasamy
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