you can check if you want this link <https://github.com/alonsoir/twitter-sentiment-analysis>
elastic, kibana and spark working together. Alonso Isidoro Roman [image: https://]about.me/alonso.isidoro.roman <https://about.me/alonso.isidoro.roman?promo=email_sig&utm_source=email_sig&utm_medium=email_sig&utm_campaign=external_links> 2017-03-30 16:25 GMT+02:00 Miel Hostens <miel.host...@ugent.be>: > We're doing exactly same thing over here! > > Spark + ELK > > Met vriendelijk groeten, > > *Miel Hostens*, > > *B**uitenpraktijk+* > Department of Reproduction, Obstetrics and Herd Health > <http://www.rohh.ugent.be/> > > Ambulatory Clinic > Faculty of Veterinary Medicine <http://www.ugent.be/di> > Ghent University <http://www.ugent.be/> > Salisburylaan 133 > 9820 Merelbeke > Belgium > > > > Tel: +32 9 264 75 28 <+32%209%20264%2075%2028> > > Fax: +32 9 264 77 97 <+32%209%20264%2077%2097> > > Mob: +32 478 59 37 03 <+32%20478%2059%2037%2003> > > e-mail: miel.host...@ugent.be > > On 30 March 2017 at 15:01, Szuromi Tamás <trom...@gmail.com> wrote: > >> For us, after some Spark Streaming transformation, Elasticsearch + Kibana >> is a great combination to store and visualize data. >> An alternative solution that we use is Spark Streaming put some data back >> to Kafka and we consume it with nodejs. >> >> Cheers, >> Tamas >> >> 2017-03-30 9:25 GMT+02:00 Alonso Isidoro Roman <alons...@gmail.com>: >> >>> Read this first: >>> >>> http://www.oreilly.com/data/free/big-data-analytics-emerging >>> -architecture.csp >>> >>> https://www.ijircce.com/upload/2015/august/97_A%20Study.pdf >>> >>> http://www.pentaho.com/assets/pdf/CqPxTROXtCpfoLrUi4Bj.pdf >>> >>> http://www.gartner.com/smarterwithgartner/six-best-practices >>> -for-real-time-analytics/ >>> >>> https://speakerdeck.com/elasticsearch/using-elasticsearch-lo >>> gstash-and-kibana-to-create-realtime-dashboards >>> >>> https://www.youtube.com/watch?v=PuvHINcU9DI >>> >>> then take a look to >>> >>> https://kudu.apache.org/ >>> >>> Tell us later what you think. >>> >>> >>> >>> >>> Alonso Isidoro Roman >>> [image: https://]about.me/alonso.isidoro.roman >>> >>> <https://about.me/alonso.isidoro.roman?promo=email_sig&utm_source=email_sig&utm_medium=email_sig&utm_campaign=external_links> >>> >>> 2017-03-30 7:14 GMT+02:00 Gaurav Pandya <gauravhpan...@gmail.com>: >>> >>>> Hi Noorul, >>>> >>>> Thanks for the reply. >>>> But then how to build the dashboard report? Don't we need to store data >>>> anywhere? >>>> Please suggest. >>>> >>>> Thanks. >>>> Gaurav >>>> >>>> On Thu, Mar 30, 2017 at 10:32 AM, Noorul Islam Kamal Malmiyoda < >>>> noo...@noorul.com> wrote: >>>> >>>>> I think better place would be a in memory cache for real time. >>>>> >>>>> Regards, >>>>> Noorul >>>>> >>>>> On Thu, Mar 30, 2017 at 10:31 AM, Gaurav1809 <gauravhpan...@gmail.com> >>>>> wrote: >>>>> > I am getting streaming data and want to show them onto dashboards in >>>>> real >>>>> > time? >>>>> > May I know how best we can handle these streaming data? where to >>>>> store? (DB >>>>> > or HDFS or ???) >>>>> > I want to give users a real time analytics experience. >>>>> > >>>>> > Please suggest possible ways. Thanks. >>>>> > >>>>> > >>>>> > >>>>> > >>>>> > -- >>>>> > View this message in context: http://apache-spark-user-list. >>>>> 1001560.n3.nabble.com/How-best-we-can-store-streaming-data-o >>>>> n-dashboards-for-real-time-user-experience-tp28548.html >>>>> > Sent from the Apache Spark User List mailing list archive at >>>>> Nabble.com. >>>>> > >>>>> > ------------------------------------------------------------ >>>>> --------- >>>>> > To unsubscribe e-mail: user-unsubscr...@spark.apache.org >>>>> > >>>>> >>>> >>>> >>> >> >
