Algorithmic Trading with Apache Flink - Hands-on guide

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Free Download Algorithmic Trading with Apache Flink - Hands-on guide
Published 6/2024
Created by Ganiyu Yusuf
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 26 Lectures ( 4h 52m ) | Size: 3.93 GB

A Complete HANDS-ON and In-depth practical course on a Algorithmic Trading with a tool better than Spark - Apache Flink
What you'll 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
Requirements:
Basic knowledge of Distributed Frameworks.
Basic knowledge of OOPS.
Everything else is covered in this course
Description:
*** 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.
Who this course is for:
Students who want to learn Apache Flink from SCRATCH to its Live Project Implementation.
Who are new to Stream processing and want to learn a Stream processing framework which is better than Spark.
Software engineers who feel they missed an early opportunity to get into Hadoop & Spark.
Hadoop & Spark Developers who want to upgrade themselves to Apache's latest Big Data Streaming Engine.
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