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Algorithmic Trading with Apache Flink | Hands-on guide
A Complete HANDS-ON and In-depth practical course on a Algorithmic Trading with a tool better than Spark - Apache Flink
This Course Includes
udemy
3 (1 reviews )
5 total hours 
english
Online - Self Paced
course
Udemy
About Algorithmic Trading with Apache Flink | Hands-on guide
*** Note: All the codes and APIs are updated with latest Flink version.
Apache Flink is the next big thing in the industry with its enormous advantages over Apache Spark and Hadoop.
This is the ultimate course on algorithmic trading and real-time data processing with Apache Flink! This course caters for all levels of programming experience. If you’re a data engineer, software developer, financial analyst, or an aspiring trader, this comprehensive course is designed to equip you with the skills and knowledge to build a fully functional algorithmic trading system from scratch.
With the rate Apache Flink is making waves in the Big data technology space and rapidly gaining momentum in the market, It is assumed that same like Apache Spark replaced Hadoop, Flink can also replace Spark in the nearest future.
The demand for Apache Flink in market is already swelling. Many big companies from multiple Industry domains have already started using Apache Flink to process their Real-time Big data and thousands other are diving into.
What's included in this course?
Complete Apache Flink concepts explained from Scratch to Real-Time implementation.
Each and Every Apache Flink APIs and concept used in this project are explained with a HANDS-ON Flink implementation.
Flink codes and Datasets used in lectures are attached in the course for your convenience.
All the codes are updated with latest Flink version.
What You Will Learn?
- Learn a cutting edge and Apache's latest Stream processing framework which is much faster than Hadoop and Spark - Apache Flink with its APIs.
- Understand the basics of algorithmic trading, its benefits, and its significance in modern financial markets..
- Learn how to integrate Apache Kafka for efficient data ingestion and message streaming..
- Understand how to manage event time and watermarks to ensure accurate and timely processing of trading data..
- Step-by-step instructions on building, deploying, and managing Flink jobs for continuous data processing..
- Implement real-time analytics and execute buy/sell orders based on your trading algorithms.
- Integrate with external systems like Slack for realtime notifications.