selam, Thanks, I've checked snowplow but it's coming with a cost. Whereas, I'm looking completely free software.
I've checked Zeppein and it really looks cool. Very good UI and visualized data analytics. Still a lot to explore, specifically the technologies which Ashutosh mentioned. Just had a quick google on Spark as well, and it looks like Spark is a good choice as well. Thanks again I wish to have more views from other members, specifically for my case, mentioned in first post. Many thanks in advance to all. Viki On Fri, Apr 15, 2016 at 3:10 AM, selam <selam...@gmail.com> wrote: > I am no expert or user of hadoop except hdfs part, but you should > check snowplow project for analytics stuff and they use hadoop with > many other proejcts as well. > > On Thu, Apr 14, 2016 at 8:34 PM, Vikrama Sanjeeva > <viki.sanje...@gmail.com> wrote: > > Thanks Ashutosh, > > > > I'm really unfamiliar of technologies you mentioned. I will explore them > > hopefully. > > > > Actually the motivation here is to get hands-on experience on Hadoop > > echosystem and data analytic. The good part is that we already have > Hadoop > > cluster setup in university. > > > > Still looking for insights... > > > > Many thanks. > > > > Viki > > > > On Fri, Apr 15, 2016 at 12:07 AM, Ashutosh Kumar <ashutosh....@gmail.com > > > > wrote: > >> > >> you can consider > >> > >> Kafka-->Spark-->SparkML-Zeppein > >> OR > >> Kafka-->Flink-->FlinkML-->Zeppelin > >> > >> > >> Thanks > >> Ashutosh > >> > >> On Thu, Apr 14, 2016 at 8:08 PM, Vikrama Sanjeeva > >> <viki.sanje...@gmail.com> wrote: > >>> > >>> Hi, > >>> > >>> I'm here to take a expert advise on using Hadoop or not for my > >>> situation/case. > >>> > >>> Brief intro: I'm a masters by research student doing research in > BigData > >>> area which I wish to explore more by continuing into PhD. > >>> > >>> We've a side project in its inception phase (not related to research) > for > >>> developing mobile app using Ionic framework. One of the non-functional > >>> requirement of the project is to collect various analytics, for > example, how > >>> many times apps downloaded, visited, which feature is used more, which > user > >>> uses what etc etc. As a part of proposed solution, we've proposed to > use > >>> Google Analytics to capture the required analytics and MangoDB for > storing > >>> user's data. > >>> > >>> I believe these statistics can be easily captured by GA. However, > >>> recently, I was thinking to use Hadoop and its related technologies > (Hive, > >>> Impala, Sqoop etc) for doing analytics work. Why ? Because this way, I > will > >>> get a chance to work on Hadoop echosystem which will be a good > compliment > >>> with my Master's research which is in BigData. > >>> > >>> What I know that Hadoop is mainly used where we have really BigData (in > >>> TBs or more) in a variety of format (unstructured, semi-structured) and > >>> where value out of data is needed by performing analytics. > >>> > >>> My question is, we will not have much data in mobile app, but we do > have > >>> data analytics work in mobile app. So does it make sense (reasonable?) > to > >>> export data from MangoDB into HDFS and use Hive or Impala for doing > >>> analytics ? > >>> > >>> Please give feedback. Your expert advise is highly appreciated. > >>> > >>> Many thanks. > >>> > >>> Viki. > >>> > >> > > > > > > -- > Saygılar && İyi Çalışmalar > Timu EREN ( a.k.a selam ) >
