Web-Based Platform to Manage and Automate Event Management Services

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Warehouse Management System
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About Client

• The UK-based client offers a comprehensive BI
  (Business Intelligence) solution to its
  customers, which are mainly event organizers and
  marketing managers. The approach to serve them is
  through different business intelligence
  techniques. The client helps their customers to
  achieve higher visitor attendance and better
  conversions from their events by providing
  various insights using cutting edge analytics
  algorithm. Customer organizes different paid as
  well as free-to-attend events for which our
  client provides a cloud-based platform to manage
  and automate event management using different
  types of services.

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Challenges

• The client used to manage the audience and
  exhibitor data, analytics and insights,
  reporting, charting and other software services.
  In this process, some of the major challenges
  faced by the client are as follows
• Gathering data from different sources
• An automated platform to assist the companies for
  organizing future events
• Providing analytics and insights on different
  events held by organizers
• Briefly stating, there was a requirement of a
  system that can provide analytic services and
  other important insights on different events
  through a single platform.

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Solution

• Azilen Technologies analyzed the requirements and
  came up with a solution on AWS cloud. Azilen
  preferred AWS cloud technology as it allows
  managing the infrastructure easily. Besides that,
  there is no need to invest much in to hardware
  and worry about running that hardware flawlessly.
  Keeping these factors in mind, AWS cloud
  technology was used that further involved a
  series of technical features for our client.

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• The platform is developed as monolith or as two
  services. It involves web application and back
  end apps to work simultaneously. The backend apps
  can be separated out later as individual services
  based on the context and its uses. Some of the
  major services that it offers are User and Event
  Management Service, Reporting Service, Analytics
  Service, Selections Service and Notification
  Service.
• The Data Integration Service or the ETL (Extract,
  Transform and Load) service is being used for
  integrating various types of heterogeneous data
  sources in the system. It uses Mule ESBa light
  weight Java-based integration platform that
  allows quick and easy connection to applications
  for enabling data exchange. The Mule ESB helps in
  easy integration of existing systems, regardless
  different technologies that an application uses
  like Web Services, JMS, HTTP and many more.

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Features

• The monolith service calls AWS S3 that stores
  data in encrypted format. This is then passed to
  AWS Lambda that triggers the action and checks
  the data value validation. It passes both valid
  and invalid data to the Mule ESB in separate
  files.
• The Single RDBMS database stores the entire
  application data and client specific
  configuration. All the client data will be stored
  into NoSQL database. Based on the nature of the
  data and the data access patterns MongoDB / Neo4j
  or even both can be opted. This even helps in
  real time data analysis of a service.
• The user interface is implemented into web
  application using the JQuery and AngularJS
  technology. The D3js and Kendo UI are used along
  with RESTFull web service for dashboard and chart
  representations. Besides that, the JMS-
  Asynchronous notification queue is used to by
  notification service provider for the events
  taking place in the system.

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• The HTTP caching of static data and compression
  is being used for increasing the UI performance.
  This can be done with CSS in lining and JS
  magnification using the Grunt tasks
• The marketing managers and the third party API
  users interacting with the system using Web
  Application and REST services that are managed
  behind load balancer. After authentication of the
  user or customer, they can use the services or
  apps after going through Local Load Balancers and
  authentication and authorization layer.

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Tools Technologies Architecture
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Success Factor

• Easy to handle unpredictable load conditions
• Request is served and accessed from single
  availability zone instead of cross availability
  zone
• All applications and databases are being deployed
  into private sub-net
• The system is designed by the interface using
  loose coupling technique wherever possible
• It is important to close open resources to avoid
  memory leaks
• Use executor service abstraction to execute
  threads directly into an application
• The solution is highly secure and scalable
• Cache is used to store temporary data instead of
  HttpSession, HttpServletRequest or
  HttpServletResponse

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• Let's Discuss Your Requirement!
•  info_at_azilen.com  1-972-325-2243

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• Original Source
• http//www.azilen.com/case-study/analytics-etl-bi-
  solutions/

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Thanks You www.azilen.com