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The analytics are not just limited to web clients. There would be API clients too. The deployment will be in a private enteprise vpn and so talking to external

The analytics are not just limited to web clients. There would be API clients too. The deployment will be in a private enteprise vpn and so talking to external services may not be an option. I am aware of these tools like cassandra/flink/spark/kafka etc. But I am more curios about the best tools and architectural patterns that work well with each other.

lelima 7y ago
>>I'm more curios about the best tools and architectural patterns that work well with each other. Well you can go with: Fancy: Hdfs(distributed file system) as storage - oozie as workflow scheduler for your load(python/hive/scala/spark) - Tableau for visualization (your business ussers will love it. Mid range: SQL Server as storage - Informatica for your workload - power BI /SSRS for visuals Open/low budget: PostgreSQL / Cassandra for storage - make your own scheduler/ there is a post for ETL open score yesterday that might help - for visuals you can make it from scratch but hire a good designer! This is based on my experience on industries like Gambling, Banking and Telecom
- dclausen 7y ago
  Tableau has a terrible UI and looks like it hasn't been updated since 1995. Go for Looker instead.
  - unixhero 7y ago
    Absolutely what? It's the best in the industry. In that case, could you suggest a better tool, and also maybe separately which tool that looks better?
lilbobbytables 7y ago
There has to be something somewhat out of the box for this, no? It seems insane to have to build this for any given project. I'd imagine you could use Segment (or source(s) that plugs into it) to accomplish much of this.