Cloud Analytics with Google Cloud Platform

Cloud Analytics with Google Cloud Platform

Instructor: Packt - Course Instructors

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9 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

9 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Explore the fundamentals of cloud analytics and major cloud solutions
Understand how organizations leverage cloud analytics to improve ROI
Design and implement an end-to-end analytics pipeline on the cloud

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

9 assignments

Taught in English

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There are 9 modules in this course

This course offers a comprehensive guide to cloud analytics, focusing on the process of utilizing Google Cloud Platform (GCP) for processing and analyzing large-scale data. It is designed to equip learners with the knowledge required to harness cloud analytics tools, enabling businesses to extract actionable insights from big data.

Throughout the course, you will learn how to design and implement end-to-end analytics solutions, leveraging machine learning and deep learning techniques to analyze data more effectively. The course includes practical steps for data ingestion, processing, and best practices for building analytics pipelines. What sets this course apart is its unique combination of theory and hands-on practice, empowering learners to build real-world cloud-based analytics engines. You will also gain insights into the design and business considerations necessary to deliver effective cloud analytics solutions. This course is suitable for professionals involved in data analytics, machine learning, and cloud computing, particularly those aiming to implement cloud-based analytics systems. While prior experience with cloud platforms is helpful, it is not a requirement.

In this section, we explore cloud analytics fundamentals, cloud computing models, and service levels (IaaS, PaaS, SaaS) to enable effective data management.

What's included

2 videos6 readings1 assignment

2 videos Total 2 minutes

Course Overview 1 minute
Introducing Cloud Analytics - Overview Video 1 minute

6 readings Total 80 minutes

Introduction 10 minutes
Major Benefits of Cloud Computing 10 minutes
Public Cloud 20 minutes
PaaS 20 minutes
Different Ways to Secure the Cloud 10 minutes
What Is Cloud Analytics 10 minutes

1 assignment Total 10 minutes

Cloud Computing Fundamentals 10 minutes

In this section, we explore cloud migration strategies, prerequisites for cloud deployment, and multi-provider architecture design to ensure effective cloud adoption and infrastructure planning.

What's included

1 video8 readings1 assignment

1 video Total 1 minute

Design and Business Considerations - Overview Video 1 minute

8 readings Total 130 minutes

Introduction 10 minutes
Parameters Before Adopting Cloud Strategy 10 minutes
Legally Binding Responsibilities 20 minutes
Simplifying Cloud Migration with Virtualization 20 minutes
Disadvantages of IaaS 20 minutes
Cloud Migration Checklist 10 minutes
Infrastructure for Cloud Computing 10 minutes
Preparing a Plan for Moving to Cloud Computing 30 minutes

1 assignment Total 10 minutes

Cloud Computing and Business Strategy 10 minutes

In this section, we explore GCP services, their purposes, and compare cloud vendor categories to guide effective tool selection for specific workloads.

What's included

1 video11 readings1 assignment

1 video Total 1 minute

GCP 10,000 Feet Above A High-Level Understanding of GCP - Overview Video 1 minute

11 readings Total 240 minutes

Introduction 20 minutes
Compute 10 minutes
Storage and Databases 20 minutes
Cloud Datastore 10 minutes
Cloud CDN 20 minutes
BigQuery 20 minutes
Cloud Pub/Sub 20 minutes
Cloud Storage Transfer Service 30 minutes
Cloud Job Discovery Private Beta 30 minutes
Cloud Video Intelligence 30 minutes
Cloud Deployment Manager 30 minutes

1 assignment Total 10 minutes

GCP Services and Use Cases 10 minutes

In this section, we explore cloud data ingestion and storage services, including Cloud Dataflow, Cloud Pub/Sub, and Cloud Storage, focusing on their use cases and practical implementation.

What's included

1 video10 readings1 assignment

1 video Total 1 minute

Ingestion and Storing Bring the Data and Capture It - Overview Video 1 minute

10 readings Total 140 minutes

Introduction 20 minutes
PCollection (Data) 20 minutes
Pipeline Example 20 minutes
Using the gcloud Command-Line Tool 10 minutes
Cloud Storage Classes 10 minutes
How to Use Cloud Storage Video 10 minutes
When to Use It 20 minutes
Load Balancing 10 minutes
Instances 10 minutes
Special Feature 10 minutes

1 assignment Total 10 minutes

Data Management and Messaging Fundamentals 10 minutes

In this section, we explore GCP services for data processing and visualization, including BigQuery, Cloud Datalab, and Data Studio, focusing on practical applications and real-world data workflows.

What's included

1 video10 readings1 assignment

1 video Total 1 minute

Processing and Visualizing Close Encounter - Overview Video 1 minute

10 readings Total 160 minutes

Introduction 10 minutes
Schema Type of the Data 20 minutes
When to Use It 10 minutes
Dataflow versus Dataproc 20 minutes
Multi-language Support 10 minutes
Sharing and Collaboration 20 minutes
Advantages of Compute Engine 20 minutes
How to Use Google Compute Engine Video 20 minutes
How to Use Google App Engine Video 20 minutes
Node Machine Type 10 minutes

1 assignment Total 10 minutes

GCP Data Processing and Analytics Fundamentals 10 minutes

In this section, we explore AI and machine learning on GCP, focusing on text classification, NLP pipelines, and cloud-based ML services with practical applications.

What's included

6 readings1 assignment

In this section, we explore GCP certification exam guides and service selection for cloud architecture and data engineering.

What's included

1 video5 readings1 assignment

In this section, we explore business use cases on GCP, focusing on real-time data architectures, data lakes, and recommendation systems. We analyze practical applications and end-to-end project planning using cloud services.