Dataflow Courses

Google Cloud;  Google

Serverless Data Processing with Dataflow: Foundations

This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits…

• Coursera
• 3-4 hours worth of material, 2 weeks long
• tomorrow (4th Jul)
• Free Online Course (Audit)

Google Cloud;  Google

Serverless Data Processing with Dataflow: Develop Pipelines

In this second installment of the Dataflow course series, we are going to be diving deeper on developing pipelines using the Beam SDK. We start with a review of Apache Beam concepts. Next, we discuss processing streaming data using windows, watermarks an…

• Coursera
• 19 hours worth of material, 3 weeks long
• tomorrow (4th Jul)
• Free Online Course (Audit)

Google Cloud;  Google

Serverless Data Processing with Dataflow: Operations

In the last installment of the Dataflow course series, we will introduce the components of the Dataflow operational model. We will examine tools and techniques for troubleshooting and optimizing pipeline performance. We will then review testing, deployme…

• Coursera
• 9-10 hours worth of material, 2 weeks long
• 1 week from now (11th Jul)
• Free Online Course (Audit)

Processing Data with Google Cloud Dataflow

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will simulate a real-time real world data set from a historical data set. This simulated data set will be processed from a set of text files using Python and Google Cl…

• Coursera
• 1-2 hours worth of material
• 1 week from now (11th Jul)
• Paid Course

Google Cloud;  Google Microcredential

Serverless Data Processing with Dataflow

It is becoming harder and harder to maintain a technology stack that can keep up with the growing demands of a data-driven business. Every Big Data practitioner is familiar with the three V’s of Big Data: volume, velocity, and variety. What if there was…

• Coursera
• 3 hours a week, 9 weeks long
• Paid Course
• 2 courses

ETL Processing on Google Cloud Using Dataflow and BigQuery

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will build several Data Pipelines that will ingest data from a publicly available dataset into BigQuery.

• Coursera
• 1 hour of material
• 3 weeks from now (25th Jul)
• Paid Course

Dataflow: Qwik Start - Python

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will set up your Python development environment, get the Cloud Dataflow SDK for Python, and run an example pipeline using the Google Cloud Platform Console.

• Coursera
• Less than 1 hour of material
• 3 weeks from now (25th Jul)
• Paid Course

Real Time Machine Learning with Cloud Dataflow and Vertex AI

This is a self-paced lab that takes place in the Google Cloud console. Implement a real-time, streaming machine learning pipeline that uses Cloud Dataflow and Vertex AI.

• Coursera
• 1-2 hours worth of material
• 2 weeks from now (18th Jul)
• Paid Course

Stream Processing with Cloud Pub/Sub and Dataflow: Qwik Start

This is a self-paced lab that takes place in the Google Cloud console. This quickstart shows you how to use Dataflow to read messages published to a Pub/Sub topic, window (or group) the messages by timestamp, and Write the messages to Cloud Storage.

• Coursera
• Less than 1 hour of material
• 3 weeks from now (25th Jul)
• Paid Course

Dataflow: Qwik Start - Templates

This is a self-paced lab that takes place in the Google Cloud console. This page shows you how to create a streaming pipeline using a Google-Provided Cloud Dataflow template.

• Coursera
• Less than 1 hour of material
• 27th Jun, 2022
• Paid Course

Run a Big Data Text Processing Pipeline in Cloud Dataflow

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will use Google Cloud Dataflow to create a Maven project with the Cloud Dataflow SDK, and run a distributed word count pipeline using the Google Cloud Platform Console.

• Coursera
• Less than 1 hour of material
• 27th Jun, 2022
• Paid Course

Google Cloud;  Google Microcredential

Serverless Data Processing Dataflow em Português Brasileiro

Está se tornando cada vez mais difícil manter uma pilha de tecnologia que possa acompanhar as crescentes demandas de um negócio orientado a dados. Todo praticante de Big Data está familiarizado com os três V’s do Big Data: volume, velocidade e variedade.…

• Coursera
• 3 hours a week, 9 weeks long
• Paid Course

Google Cloud;  Google

Serverless Data Analysis with Google BigQuery and Cloud Dataflow em Português Brasileiro

Este curso rápido sob demanda tem uma semana de duração e é baseado no Google Cloud Platform Big Data and Machine Learning Fundamentals. Por meio de apresentações com instrutores, demonstrações e laboratórios práticos, os alunos aprenderão a executar arm…

• Coursera
• 11 hours worth of material, 1 week long
• 27th Jun, 2022
• Free Online Course (Audit)

Architecting Serverless Big Data Solutions Using Google Dataflow

Dataflow represents a fundamentally different approach to Big Data processing than computing engines such as Spark. Dataflow is serverless and fully-managed, meaning that provisioning resources and scaling can be transparent to the data architect.

• Pluralsight
• 2-3 hours worth of material
• Self paced
• Free Trial Available

Serverless Data Analysis with Google BigQuery and Cloud Dataflow

Through a combination of instructor-led presentations, demonstrations and hands-on labs, you'll learn how to carry out no-ops data warehousing and pipeline processing.

• Pluralsight
• 3-4 hours worth of material
• Self paced
• Free Trial Available