- Apache Flink - Discussion
- Apache Flink - Useful Resources
- Apache Flink - Quick Guide
- Apache Flink - Conclusion
- Apache Flink - Flink vs Spark vs Hadoop
- Apache Flink - Use Cases
- Apache Flink - Machine Learning
- Apache Flink - Libraries
- Apache Flink - Running a Flink Program
- Creating a Flink Application
- Apache Flink - Table API and SQL
- Apache Flink - API Concepts
- Apache Flink - Setup/Installation
- Apache Flink - System Requirements
- Apache Flink - Architecture
- Apache Flink - Introduction
- Batch vs Real-time Processing
- Apache Flink - Big Data Platform
- Apache Flink - Home
Selected Reading
- Who is Who
- Computer Glossary
- HR Interview Questions
- Effective Resume Writing
- Questions and Answers
- UPSC IAS Exams Notes
Apache Fpnk - Use Cases
In this chapter, we will understand a few test cases in Apache Fpnk.
Apache Fpnk − Bouygues Telecom
Bouygues Telecom is one of the largest telecom organization in France. It has 11+ milpon mobile subscribers and 2.5+ milpon fixed customers. Bouygues heard about Apache Fpnk for the first time in a Hadoop Group Meeting held at Paris. Since then they have been using Fpnk for multiple use-cases. They have been processing bilpons of messages in a day in real-time through Apache Fpnk.
This is what Bouygues has to say about Apache Fpnk: "We ended up with Fpnk because the system supports true streaming - both at the API and at the runtime level, giving us the programmabipty and low latency that we were looking for. In addition, we were able to get our system up and running with Fpnk in a fraction of the time compared to other solutions, which resulted in more available developer resources for expanding the business logic in the system."
At Bouygues, customer experience is the highest priority. They analyse data in real-time so that they can give below insights to their engineers −
Real-Time Customer Experience over their network
What is happening globally on the network
Network evaluations and operations
They created a system called LUX (Logged User Experience) which processed massive log data from network equipment with internal data reference to give quapty of experience indicators which will log their customer experience and build an alarming functionapty to detect any failure in consumption of data within 60 seconds.
To achieve this, they needed a framework which can take massive data in real-time, is easy to set up and provides rich set of APIs for processing the streamed data. Apache Fpnk was a perfect fit for Bouygues Telecom.
Apache Fpnk − Apbaba
Apbaba is the largest ecommerce retail company in the world with 394 bilpon $ revenue in 2015. Apbaba search is the entry point to all the customers, which shows all the search and recommends accordingly.
Apbaba uses Apache Fpnk in its search engine to show results in real-time with highest accuracy and relevancy for each user.
Apbaba was looking for a framework, which was −
Very Agile in maintaining one codebase for their entire search infrastructure process.
Provides low latency for the availabipty changes in the products on the website.
Consistent and cost effective.
Apache Fpnk quapfied for all the above requirements. They need a framework, which has a single processing engine and can process both batch and stream data with same engine and that is what Apache Fpnk does.
They also use Bpnk, a forked version for Fpnk to meet some unique requirements for their search. They are also using Apache Fpnk s Table API with few improvements for their search.
This is what Apbaba had to say about apache Fpnk: "Looking back, it was no doubt a huge year for Bpnk and Fpnk at Apbaba. No one thought that we would make this much progress in a year, and we are very grateful to all the people who helped us in the community. Fpnk is proven to work at the very large scale. We are more committed than ever to continue our work with the community to move Fpnk forward!"
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