Apache Beam | Google Data Flow (Python) | Hands on course

Data Engineering with complete Hands on course for Apache Beam | Google Data Flow to build Big Data Pipelines
4.28 (934 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Apache Beam | Google Data Flow (Python) | Hands on course
5 790
students
3 hours
content
May 2024
last update
$29.99
regular price

Why take this course?

🚀 Apache Beam & Google Data Flow Mastery: Hands-On Course for Big Data Pipelines 🚫

Headline: Dive into the World of Data Engineering with Our Comprehensive, Hands-On Apache Beam and Google Data Flow Course!


Course Description: Unlock the power of big data with our specialized online course designed for beginners eager to master Apache Beam using Python. This isn't just another theory-heavy program; it's a practical, hands-on journey that will have you building and managing your own Big Data pipelines in no time.

Whether you're looking to harness the capabilities of Google Cloud Dataflow or simply want to understand the intricacies of Apache Beam, this course is tailored to provide you with the skills needed to navigate the complexities of data processing in a real-world environment. 💧


What You'll Learn:

  • Understanding Architecture: Gain insight into how Apache Beam fits into the Big Data landscape and why it's an essential tool for modern data engineering.

  • Transformation Mastery: Learn to perform various transformations on your data streams, turning raw data into actionable insights.

  • Side Inputs/Outputs: Discover how to handle inputs and outputs that run alongside your main data stream, ensuring a seamless flow of information.

  • Streaming with Google PubSub: Get hands-on practice with integrating real-time data streams using Google PubSub.

  • Windows in Streaming: Understand the concept of time windows and event time windows to manage your data effectively.

  • Handling Late Elements: Learn strategies for dealing with elements that arrive late in the stream, ensuring no data is left behind.

  • Using Triggers: Dive into the world of triggers to execute transformations on a schedule or based on specific events in your pipeline.

  • Google Cloud Dataflow: Explore how Google Cloud Dataflow can simplify and scale your Apache Beam pipelines.

  • Beam SQL/SQL on GCP: Discover the power of Beam SQL to write simpler and more readable data processing code on Google Cloud Platform.


Why Choose This Course?

Concise & Impactful: With only a 3-hour commitment, you can embark on your journey towards mastering Apache Beam and Google Data Flow.

Relevant Topics Covered: This course is designed to cover all the essential topics without overwhelming you with unnecessary content.

Exciting & Easy-to-Understand Slides & Presentations: Learn through engaging, easy-to-follow materials that will make your learning experience enjoyable and effective.


Why Apache Beam is the Future of Big Data:

  • Versatile: Runs on top of various popular processing engines like Spark, Flink, and Google Dataflow.

  • Endorsed by Giants: Backed by industry leaders such as Google, which uses it to manage vast amounts of data.

  • Unification & Migration: Solves the problem of migrating from one processing engine to another without losing performance or compatibility.


Enroll Now and Be Future-Ready in Data Engineering! 🎓🎉

Join us on this exciting journey to master Apache Beam and Google Data Flow with our hands-on, practical course designed for the beginner to the advanced data engineer. Secure your spot today and step into a future where you can confidently navigate and excel in the world of Big Data!

Course Gallery

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2874572
udemy ID
16/03/2020
course created date
18/03/2020
course indexed date
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