Data Integration with Cloud Data Fusion Training

Live Online & Classroom Enterprise Certification Training

Learn how to design, build, and manage data pipelines using Google Cloud’s Cloud Data Fusion. This course covers integrating data from diverse sources, processing batch and streaming data, tracking metadata and lineage, and deploying pipelines for scalable, insight-driven analytics.

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What is Data Integration with Cloud Data Fusion Certification Training about?

This 2-day course introduces learners to Google Cloud’s data integration capability using Cloud Data Fusion. In this course, we discuss challenges with data integration and the need for a data integration platform (middleware). We then discuss how Cloud Data Fusion can help to effectively integrate data from a variety of sources and formats and generate insights. We take a look at Cloud Data Fusion’s main components and how they work, how to process batch data and real time streaming data with visual pipeline design, rich tracking of metadata and data lineage, and how to deploy data pipelines on various execution engines.

What are the objectives of Data Integration with Cloud Data Fusion Certification Training ?

Identify the need of data integration
Understand the capabilities Cloud Data Fusion provides as a data integration platform
Identify use cases for possible implementation with Cloud Data Fusion
List the core components of Cloud Data Fusion
Design and execute batch and real time data processing pipelines
Work with Wrangler to build data transformations
Use connectors to integrate data from various sources and formats
Configure execution environment; Monitor and Troubleshoot pipeline execution
Understand the relationship between metadata and data lineage

Who is Data Integration with Cloud Data Fusion Certification Training for?

This course is primarily intended for the following participants:

Data Engineer
Data Analysts

What are the prerequisites for Data Integration with Cloud Data Fusion Certification Training?

To get the most out of this course, participants are encouraged to have:

Complete “Introduction to Data Engineering”

Available Training Modes

Live Online Training

2 Days

Course Outline Expand All

Expand All

Module 1: Introduction to data integration and Cloud Data Fusion

Data integration: what, why, challenges

Data integration tools used in industry

User personas

Introduction to Cloud Data Fusion

Data integration critical capabilities

Cloud Data Fusion UI components

Module 2: Building pipelines

Cloud Data Fusion architecture

Core concepts

Data pipelines and directed acyclic graphs (DAG)

Pipeline Lifecycle

Designing pipelines in Pipeline Studio

Module 3: Designing complex pipelines

Branching, Merging and Joining

Actions and Notifications

Error handling and Macros

Pipeline Configurations, Scheduling, Import and Export

Module 4: Pipeline execution environment

Schedules and triggers

Execution environment: Compute profile and provisioners

Monitoring pipelines

Module 5: Building Transformations and Preparing Data with Wrangler

Wrangler

Directives

User-defined directives

Module 6: Connectors and streaming pipelines

Understand the data integration architecture.

List various connectors.

Use the Cloud Data Loss Prevention (DLP) API.

Understand the reference architecture of streaming pipelines.

Build and execute a streaming pipeline.

Module 7: Metadata and data lineage

Metadata

Data lineage

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Who is the instructor for this training?

The trainer for this Data Integration with Cloud Data Fusion Training has extensive experience in this domain, including years of experience training & mentoring professionals.

Data Integration with Cloud Data Fusion Certification Training - Certification & Exam

SpringPeople is the Authorized Training Partner of Google Cloud Platform.
The training fees is exclusive of exam cost.
For any queries, feel free to reach us at GCP@springpeople.com

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