Analytics Engine in Big Data
February 01, 2018

Analytics Engine in Big Data

Prasanna Nattuthurai | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with IBM Analytics Engine

  • We used it for a research project to implement big data analysis on a YELP dataset from 2017 to answer a sales related question. We used the default Ambari file browser to upload the data, Hadoop ecosystem for data cleaning, Hive to query the dataset followed by TABLEAU for visualization.
  • Simple to implement
  • Good support from IBM
  • Easy to use
  • Widely used for Big data implementation
  • Even for L4 level support, assistance could have been more prompt. Since we are doing this for master level research all the students faced an issue when there was a MIGRATION to a newer version of the analytical engine, which doesn't let us take cmd line.
  • The explanation was not clear enough when a problem is resolved followed by a service request. Apart from being confidential, it's better for the students to understand why an issue occurs and what steps were take to resolve it.
  • This is a research project so nonprofit, but its easy to use and teach others
  • I have been using Azure for my previous analysis, I had a difficult time in understanding the Analytics engine rather IBM provided step by step tutorial for setup.
  • Also turning off a machine was not an option in Azure for some of the services so I had to pay for the service whether I use it or not
  • Well suited for my big data related project or a static data set analysis especially for uploading huge dataset to the cluster.
  • But had some issues with connecting IoT real-time data and feeding to Power BI. It might be my understanding please take it as a mere comment rather than a suggestion.