Four-Project Series
Data Streaming Pipelines with Google Cloud you own this product
- prerequisites
- intermediate Java • Maven Build Tool • Apache Beam SDK • Big Query Java Client Library
- skills learned
- Google Cloud Platform Account • Google Compute Engine • Cloud IoT Core
In this series of liveProjects, you will use Google Cloud Platform to build a data pipeline that can ingest, transform, and analyze data coming from simulated IoT devices. You’ll step into the role of a cloud engineer for a company that provides tsunami early warning detection, helping it migrate its on-prem software to the cloud. Each liveProject in this series covers a different aspect of pipeline creation, so you can pick and choose the skills that are most relevant to you.
These projects are designed for learning purposes and are not complete, production-ready applications or solutions.
here's what's included
Project 1 Real-Time Ingestion
In this liveProject, you’ll simulate data from a 4G/5G connected ocean buoy in order to prototype your cloud data pipeline. You’ll start by setting up Cloud IoT Core, then establish communication with Cloud Pub/Sub Topic for aggregation. Finally, you’ll implement a Java module that can generate your simulated data.
Project 2 Process and Enrich Data
In this liveProject, you’ll apply transformations to the raw data ingested in Cloud Pub/Sub, in order to make it easy to consume for downstream systems. You’ll need to work out the best data transformation to apply, and how to maintain performance to near-real-time levels.
Project 3 Storage Layer
In this liveProject, you’ll build an efficient cloud-based storage layer. Your pipeline requires two storage layers: long-term storage that’s suited for backup and recovery, and a hot layer that can be queried and visualized without latency. You’ll implement a Coldest-Storage layer for long-term, and then modify the Cloud BigQuery Table Schema for enriched querying and data analysis.
Project 4 Alerting and Visualization
In this liveProject, you’ll create an alert system based on predefined rules, which will be passed as an input parameter to Cloud Dataflow Pipeline. You’ll set up a triggered alert with Cloud BigQuery, and use Google Data Studio to create data visualizations and an overlay on Google Maps. You’ll set up an email notification with the SendGrid Email API that automatically triggers if a threshold value is exceeded.
book resources
When you start each of the projects in this series, you'll get full access to the following book for 90 days.
choose your plan
pro
monthly
annual
$24.99
$249.99
only $20.83 per month
- share your subscription with one other person
- access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
- choose another free product every time you renew
- choose twelve free products per year
- exclusive 50% discount on all purchases
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Data Streaming Pipelines with Google Cloud project for free
Data Streaming Pipelines with Google Cloud project for free
team
monthly
annual
$49.99
$499.99
only $41.67 per month
- five seats for your team
- access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
- choose another free product every time you renew
- choose twelve free products per year
- exclusive 50% discount on all purchases
-
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Data Streaming Pipelines with Google Cloud project for free
features
- Self-paced
- You choose the schedule and decide how much time to invest as you build your project.
- Project roadmap
- Each project is divided into several achievable steps.
- Get Help
- While within the liveProject platform, get help from other participants and our expert mentors.
- Compare with others
- For each step, compare your deliverable to the solutions by the author and other participants.
- book resources
- Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.
