
Master Apache Beam to build efficient data processing pipelines for real-time and batch data, explore its programming model, fault tolerance, and performance optimization, and learn to integrate with Hadoop.
Explore big data concepts through Apache Beam, mastering the five v's (volume, velocity, variety, veracity, and value) and learning parallel, distributed processing to handle millions of records.
Explore Apache Beam's unified model for batch and stream processing, processing finite data from bounded sources and unbounded real-time streams, achieving low latency across various data processing engines.
Explore triggers for processing windows in Apache Beam, with repeated triggering, allowed lateness of one minute, and handling of windowed events to produce intermediate and final results.
Explore user defined functions in Apache Beam, including creating custom filters with filter by function, leveraging side inputs, and implementing serializable function classes.
Explore dynamic processing in Apache Beam, including side inputs, real-time data manipulation, and windowing concepts. Compare traditional processing with modern techniques like triggering and lateness handling.
Explain how to calculate the average event value with a stateful doFn and how to use side inputs, with side inputs annotations, and process context in Apache Beam pipelines.
Explore unit testing and debugging of Apache Beam pipelines, using simple input in PCollection, map elements, and validation logic to ensure data quality and code correctness.
Explore persistence by saving objects to files using serialization and deserialization, then reloading them via object input streams, demonstrated with a person example.
Demonstrates deep copy using serialization to create an independent copy of an object without modifying the original, implemented via byte array output/input streams on a Person object.
Learn how persistence saves objects to files or databases for reuse using serialization and deserialization, with Java examples of serializable classes, object output streams, and object input streams.
Set up an Apache Beam Maven project on a Hadoop cluster, configure dependencies and plugins in the pom, build a jar, deploy to HDFS, and prepare the CSV input.
Become an Apache Beam professional and learn one of employer's most requested skills nowadays!
This comprehensive course is designed so that Software Developers, Data Engineers, Data Scientists, IT Professionals, Students... can learn Apache Beam from scratch to use it in a practical and professional way. Never mind if you have no experience in the topic, you will be equally capable of understanding everything and you will finish the course with total mastery of the subject.
After several years working in IT, we have realized that nowadays mastering Apache Beam very necessary to build scalable, reliable, and efficient data processing pipelines, making it an essential tool for modern data-driven enterprises. Knowing how to use this tool can give you many job opportunities and many economic benefits, especially in the world of data science.
The big problem has always been the complexity to perfectly understand Apache Beam requires, since its absolute mastery is not easy. In this course we try to facilitate this entire learning and improvement process, so that you will be able to carry out and understand your own projects in a short time, thanks to the step-by-step, detailed and hands-on examples of every concept.
With almost 7 exclusive hours of video, this comprehensive course leaves no stone unturned! It includes both practical exercises and theoretical examples to master Apache Beam and GCP dataflow (Google Cloud Dataflow). The course will enable you to develop robust, scalable, and fault-tolerant data processing pipelines across various distributed systems, in a practical way, from scratch, and step by step.
We will start with the installation and setup of the needed software on your computer, regardless of your operating system and computer.
Then, we'll cover a wide variety of topics, including:
Introduction to Apache Beam and course dynamics
Apache Beam Fundamentals and Software Installation
Mastering Apache Beam's Data Processing Model
Practical Skills in Creating and Manipulating Data Pipelines
Advanced Techniques for Time-based Data Processing
Strategies for Ensuring Pipeline Reliability and Fault Tolerance
Exploring Advanced Features of Apache Beam
Techniques for Pipeline Validation and Optimization
Setting Up Apache Beam in Distributed Systems
Understanding Data Encoding and Serialization for Safety
Mastery and application of absolutely ALL the functionalities of Apache Beam
Quizzes, Practical exercises, complete projects and much more!
In other words, what we want is to contribute our grain of sand and teach you all those things that we would have liked to know in our beginnings and that nobody explained to us. In this way, you can learn to build and manage a wide variety of projects and make versatile and complete use of Apache Beam. And if that were not enough, you will get lifetime access to any class and we will be at your disposal to answer all the questions you want in the shortest possible time.
Learning Apache Beam has never been easier. What are you waiting to join?