Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Zoomdata

544 views

Published on

Describes Zoomdata Pros and Cons

Published in: Data & Analytics
  • A professional Paper writing services can alleviate your stress in writing a successful paper and take the pressure off you to hand it in on time. Check out, please HelpWriting.net
       Reply 
    Are you sure you want to  Yes  No
    Your message goes here
  • Be the first to like this

Zoomdata

  1. 1. Zoom Data – One Pager Vivek Mohan
  2. 2.  2  Zoom Data - Overview Overview
  3. 3.  3  Zoom Data- Pros & Cons Pros & Cons  Architecturally strong tool  Good options to scale out  Ability to create near real time interactive dashboards using live data at scale  Stream data to real-time reports and visualise data as the data streams into the uploading report  Export to PDF and Excel supported  Run-Time Group & User Sync, and Bulk User/Group Import  Multi-Tenancy Support  One-click deployment in AWS  Designed to work well for large touch- screens and tablets  Heavy Emphasis on UX: Ease-of-use & Intuitiveness, Context-Sensitive Controls, Optimal Information Density etc Pros Cons  Limited front end functionality  Limited options for the users to play with  User has to wait till sharpening process completes to see the final result for few seconds  No Off-Line analysis capability  Does not have mobile apps  Lacking Advanced collaboration tools  No version control  Limited audit functionality  Limited statistical functions available  Export to word and ppt not supported  Ability to create reusable templates is not available  No Built in housekeeping and backup  No automatic SDLC deployment  Tool can’t generate alerts on resource utilization
  4. 4.  4  Zoom Data- Pros & Cons Pros & Cons  SDK available for advanced use and customization – Metadata SDK – Javascript SDK – Chart SDK  Query API available for retrieving data from Zoomdata for downstream use  Strong Query Engine – Analyzer – Optimizer – Executor  Pre-built cubes or lenses not required or recommended for Big Data scenarios  Smart Reuse of cache across users and queries when possible. Result set cache can be dropped manually or it can be scheduled  Use Data Fusion instead of Data Federation Pros Cons  Server installation on Linux only  Memory Hungry processes

×