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GCP

Database, Storage, and Networking

Whizlabs Instructor

The course is divided into two modules, and Lessons and Video Lectures further segment each module. This course facilitates learners with approximately 2:00-2:30 Hours of Video lectures that provide both Theory and Hands-On knowledge. Also, Graded and Ungraded Quizzes are provided with every module to test the ability of learners.

- Module 1: Database and Storage in Google Cloud

- Module 2: Networking in Google Cloud

- Module 1: Database and Storage in Google Cloud

- Module 2: Networking in Google Cloud

The course is designed for professionals and learners aiming to master GCP architecture and services. It combines foundational concepts with real-world implementation scenarios for cloud infrastructure, networking, storage, and data management.

- Associate Cloud Engineer

- Cloud Support Engineer

- Cloud Operations Engineer

- Site Reliability Engineer (Junior/Associate level)

By the end of the course, learners will be able to:

- Manage databases using Cloud SQL, Spanner, BigTable, Datastore, and BigQuery.

- Build data pipelines with DataFlow, Dataproc, and Cloud Storage.

- Set up and secure VPC networks, firewall rules, VM instances, and VPC peering.

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What's inside

Syllabus

Database and Storage in Google Cloud

Welcome to Week 1. This week, we’ll begin with an introduction to Google Cloud Platform (GCP), including a breakdown of its services, regions, and zones, to help you understand how GCP delivers reliable and scalable solutions globally. Moving into GCP's powerful data services, we’ll explore Cloud SQL, its supported database engines, and how to leverage Cloud Spanner, BigTable, and Cloud Datastore for different data needs. Finally, you’ll be introduced to GCP’s robust analytics and data processing tools—BigQuery for large-scale data warehousing, DataFlow for stream and batch data processing, and Dataproc for running Apache Hadoop and Spark jobs. By the end of this module, you’ll have a solid grasp of GCP’s core data services and infrastructure fundamentals, setting the stage for more advanced topics ahead.

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Career center

Learners who complete GCP: Database, Storage, and Networking will develop knowledge and skills that may be useful to these careers:

Associate Cloud Engineer

The Associate Cloud Engineer plays a pivotal role in implementing and maintaining cloud solutions. This involves deploying applications, monitoring operations, managing services, and ensuring the reliability of cloud infrastructure. This course is explicitly designed for those aiming for the Associate Cloud Engineer certification and provides comprehensive coverage of essential GCP services. Learners will master managing databases like Cloud SQL, Spanner, and BigQuery, crucial for application backends and data analytics. Furthermore, the course delves into setting up secure Virtual Private Cloud networks, configuring firewall rules, and managing VM instances, all fundamental tasks for an Associate Cloud Engineer.

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Cloud Operations Engineer

A Cloud Operations Engineer is responsible for the day-to-day management, monitoring, and maintenance of cloud infrastructure and services to ensure optimal performance and availability. This course aligns perfectly with the demands of this role by providing hands-on knowledge in managing critical GCP components. You will gain expertise in configuring and managing Virtual Private Cloud networks, setting up firewall rules for security, and overseeing VM instances, all vital for maintaining robust cloud environments. The curriculum's focus on Cloud Load Balancing and Cloud DNS helps ensure high availability and responsiveness for applications. Furthermore, the ability to manage various database services like Cloud SQL, BigTable, and Cloud Storage learned here equips you to handle the operational aspects of data platforms effectively.

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Cloud Support Engineer

As a Cloud Support Engineer, you provide expert technical assistance to users encountering issues with cloud services, often requiring deep understanding of platform components. This career path is directly supported by the comprehensive knowledge gained from this course. You will be well-prepared to troubleshoot problems related to database services, including Cloud SQL, Spanner, and BigQuery, and resolve storage issues involving Cloud Storage. A strong grasp of networking concepts, such as VPCs, firewall rules, Cloud Load Balancing, and Cloud DNS, essential for diagnosing connectivity and performance problems, is thoroughly developed within the course. This foundational understanding allows you to efficiently diagnose incidents and provide effective solutions to ensure seamless cloud operations.

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Site Reliability Engineer

A Site Reliability Engineer focuses on ensuring the reliability, performance, and scalability of cloud systems through engineering practices. This course is explicitly recommended for those aspiring to be a Site Reliability Engineer by providing a robust foundation in GCP architecture and services. You will learn to manage databases such as Cloud Spanner for high availability and BigQuery for scalable data warehousing, crucial for building resilient systems. The deep dive into networking, covering VPCs, firewall rules, and Cloud Load Balancing, helps you design and maintain highly available and fault-tolerant infrastructure. Understanding hybrid cloud integration with Cloud Interconnect also prepares you for complex operational challenges and maintaining service level objectives for critical applications.

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Data Engineer

A Data Engineer designs, builds, and maintains data pipelines and infrastructure, ensuring data is available, reliable, and accessible for analysis. This course provides highly relevant skills for a Data Engineer, particularly concerning Google Cloud Platform. You will gain hands-on experience in managing various GCP database services, including Cloud SQL, Cloud Spanner, BigTable, and BigQuery, which are central to data storage and retrieval. The course specifically covers building data pipelines with DataFlow and Dataproc, and leveraging Cloud Storage, directly aligning with core Data Engineer responsibilities. This comprehensive understanding of data services and processing tools on GCP helps prepare you to construct efficient and scalable data solutions. This role typically requires an advanced degree or significant experience.

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Big Data Engineer

A Big Data Engineer builds and optimizes large-scale data processing systems and pipelines, often using distributed computing frameworks and cloud services. For an aspiring Big Data Engineer, this course offers highly pertinent skills on the Google Cloud Platform. You will gain experience with BigQuery for large-scale data warehousing, DataFlow for stream and batch data processing, and Dataproc for running Apache Hadoop and Spark jobs. These are fundamental tools for handling vast datasets. Additionally, managing Cloud Storage for data lakes and understanding various database services like Cloud Spanner and BigTable, designed for massive datasets, directly supports the creation of robust big data solutions. This role typically requires an advanced degree or significant experience.

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Cloud Network Engineer

A Cloud Network Engineer specializes in designing, implementing, and managing network infrastructure within cloud environments, ensuring secure and efficient connectivity. This course offers comprehensive coverage of essential networking topics directly applicable to a Cloud Network Engineer. You will learn to create and configure Virtual Private Cloud networks, establish robust firewall rules, and implement VPC peering for secure inter-network communication. The curriculum also delves into advanced networking concepts such as hybrid cloud integration with Cloud Interconnect and the effective use of Cloud Load Balancing and Cloud DNS, which are critical for optimizing traffic and ensuring application availability. This deep dive into GCP networking establishes a solid understanding of cloud network components and their management.

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Cloud Architect

A Cloud Architect designs and oversees the implementation of scalable, secure, and robust cloud solutions, requiring a deep understanding of various cloud services and architectural best practices. While often requiring significant experience, the foundational knowledge provided by this course is crucial for anyone aspiring to become a Cloud Architect. You will gain comprehensive insights into GCP's database services, including Cloud SQL, Spanner, BigTable, and BigQuery, which are essential for designing data storage strategies. The extensive coverage of networking, encompassing VPCs, firewall rules, Cloud Load Balancing, and hybrid cloud integration with Cloud Interconnect, is fundamental to designing resilient and secure network architectures. This broad understanding of core GCP services helps build the platform for designing complex cloud environments.

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Infrastructure Engineer

An Infrastructure Engineer designs, implements, and manages the underlying technology systems—servers, networks, storage—that support an organization's applications and data. This course is highly relevant for an Infrastructure Engineer working with Google Cloud Platform, as it provides comprehensive coverage of key infrastructure components. You will master setting up and securing Virtual Private Cloud networks, configuring firewall rules, and managing VM instances, which are core infrastructure tasks. The course also teaches about Cloud Interconnect for hybrid cloud environments and Cloud Load Balancing for managing traffic, crucial elements of robust infrastructure. Furthermore, understanding GCP's data services like Cloud Storage, BigTable, and Dataproc helps in building a complete and reliable cloud infrastructure.

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Solutions Architect

A Solutions Architect evaluates business requirements and designs comprehensive technical solutions, often leveraging cloud platforms, requiring a broad understanding of services and their integration. This course provides foundational knowledge for a Solutions Architect. By covering key GCP database services like Cloud SQL, Spanner, BigTable, and BigQuery, you develop an understanding of data storage options essential for solution design. The extensive module on networking, including Virtual Private Cloud, firewall rules, VPC peering, and Cloud Load Balancing, is fundamental for designing secure and scalable network architectures. This comprehensive overview of GCP infrastructure, networking, storage, and data management helps in articulating and illustrating potential cloud solutions.

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Platform Engineer

A Platform Engineer builds and maintains the underlying platforms and tools that developers use to deploy and manage applications, focusing on automation, scalability, and reliability in cloud environments. This course provides strong foundational knowledge for a Platform Engineer. You will learn to manage critical GCP services, including setting up and securing Virtual Private Cloud networks, configuring firewall rules, and managing VM instances, which are core components of any platform. Understanding Cloud Load Balancing and Cloud DNS helps in building highly available platform services. Additionally, familiarity with data pipelines using DataFlow and Dataproc, and managing various database services like Cloud SQL and BigTable, helps in integrating robust data capabilities into the platform.

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DevOps Engineer

A DevOps Engineer bridges software development and IT operations by automating infrastructure provisioning, continuous integration, and continuous deployment, often within cloud environments. This course provides strong foundational knowledge for a DevOps Engineer. Understanding how to set up and secure Virtual Private Cloud networks, configure firewall rules, and manage VM instances directly supports infrastructure as code practices. Expertise in database services like Cloud SQL and BigTable helps in automating database provisioning and management within deployment pipelines. Furthermore, familiarity with data processing tools such as DataFlow and Dataproc helps in building automated data workflows, all contributing to streamlined development and operational processes.

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Technical Consultant

A Technical Consultant advises clients on technical solutions, often involving cloud technologies, and helps with implementation and optimization. This course provides foundational knowledge for a Technical Consultant specializing in Google Cloud Platform. You will gain a thorough understanding of GCP's services, regions, and zones, enabling you to speak confidently about cloud infrastructure. Expertise in database services like Cloud SQL, Spanner, and BigQuery allows you to recommend appropriate data solutions. The strong emphasis on networking, including VPCs, firewall rules, and hybrid cloud integration, is invaluable for advising clients on secure and scalable network architectures, supporting the design and deployment of tailored cloud solutions.

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Cloud Database Administrator

A Cloud Database Administrator manages and maintains database systems deployed in cloud environments, ensuring their performance, security, and availability. This course provides foundational knowledge for a Cloud Database Administrator. You will gain practical experience with essential GCP database services, including Cloud SQL, its supported database engines, Cloud Spanner, BigTable, and Cloud Datastore. Understanding how to manage these diverse database offerings is crucial for setting up, monitoring, and optimizing data storage solutions. While the course covers network security aspects like firewall rules, which are important for database protection, a full Cloud Database Administrator role typically requires an advanced degree and deep specialization in database internals beyond this introductory course.

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Cloud Security Engineer

A Cloud Security Engineer designs, implements, and monitors security measures for cloud-based systems, protecting data and infrastructure from threats. This course provides foundational knowledge that may be useful for a Cloud Security Engineer. The emphasis on securing Virtual Private Cloud networks, configuring firewall rules to control network access, and understanding IP addressing is directly relevant to establishing a secure cloud perimeter. While the course does not cover all aspects of cloud security, the insights into how GCP services function, including databases like BigTable and Cloud Storage, help build an understanding of attack surfaces and security controls within the Google Cloud ecosystem. This forms a basis for further specialization in cloud security.

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Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in GCP: Database, Storage, and Networking.

Designing Data-Intensive Applications

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Delves into the fundamental concepts behind building reliable, scalable, and maintainable data systems, including distributed storage. It provides a deep understanding of topics like data models, storage engines, replication, and consistency, which are directly applicable to cloud storage architectures. It valuable resource for undergraduate and graduate students, as well as working professionals.

GCP

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What's inside

Syllabus

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