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Google Cloud Training

Hi again! This is the second course of the Google Cloud Data Analytics Certificate. Get cozy with the key components of data governance, normalized and star schemas, data catalogs, and data lakehouse architecture.

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What's inside

Syllabus

Introduction to data management and storage in the cloud
Unlock the secrets of data organization in the cloud! In this module, you'll dive into the different forms data can take, how to store it, and the magic of moving it around. (Think of APIs and connectors as your data transport wizards!) Get ready to understand the building blocks of a well-managed data system.
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Develops data management skills, which are core skills for data governance and organization
Teaches core components of data governance, such as schemas
Emphasizes industry-standard practices, such as data lakehouse architecture
Taught by Google Cloud Training, who are recognized for their expertise in data governance
Provides hands-on labs to reinforce concepts learned
Covers normalized and star schemas, which are relevant to the data analytics industry

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Reviews summary

Essential cloud data management and storage

According to learners, this course provides a solid foundation in cloud data management, particularly within the Google Cloud Platform (GCP) ecosystem. Students frequently highlight the practical, hands-on labs, especially those involving BigQuery and Dataplex, as highly valuable for gaining real-world experience. The coverage of data governance, data lakehouse architecture, and schema design is consistently praised for clarity and insight. While generally well-structured and comprehensive, some express a desire for more in-depth coverage on topics like data movement strategies or advanced SQL, and occasional difficulty for absolute beginners without prior database knowledge.
Excellent for professionals pursuing Google Cloud Data Analytics Certificate.
"This course is a must-take for anyone serious about a cloud data career."
"I'm taking this as part of the Google Cloud Data Analytics Certificate and it seamlessly builds on the first course."
"Definitely recommend for anyone starting with cloud data."
Covers essential data governance, schemas, and lakehouse architecture.
"I particularly appreciated the modules on data governance and data lakehouse architecture."
"I found the sections on data cataloging and schema design particularly insightful."
"This course covers important topics, providing a solid foundation for cloud data management."
Provides valuable hands-on experience with BigQuery and Dataplex.
"The BigQuery and Dataplex labs were incredibly helpful for hands-on experience."
"The practical exercises using Google Cloud tools are highly effective."
"The hands-on labs are the strongest part and genuinely help reinforce theoretical concepts."
Some content could benefit from more advanced examples and detail.
"The content on data migration and APIs was a bit high-level, I would have liked more practical examples."
"I was hoping for more advanced SQL examples within BigQuery for querying optimization."
"I felt some of the content related to data security seemed a bit light."
Challenging for beginners, often assuming some prior database background.
"I found some of the explanations around normalized vs. star schemas to be a bit confusing without prior database knowledge."
"Some explanations could have been more granular for absolute beginners in data engineering."
"The pace was too fast in some modules, especially for someone new to cloud concepts."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Management and Storage in the Cloud with these activities:
Read 'Data Management for Dummies' by Lillian Pierson
This book provides a comprehensive overview of data management concepts
Show steps
  • Purchase or borrow the book
  • Read the book and take notes
  • Complete the exercises at the end of each chapter
Review a course on SQL basics using a video platform
Reviewing these concepts will provide a stronger foundation for the data storage topics addressed in this course
Browse courses on SQL
Show steps
  • Search for a video platform with a free course on SQL
  • Enroll in the course within the video platform
  • Take detailed notes on core concepts and techniques
Complete SQL queries in a practice environment
Completing these exercises will strengthen understanding of SQL and prepare students for work in this course
Browse courses on SQL
Show steps
  • Find a SQL practice environment
  • Complete at least 10 practice problems on joins, aggregations, and subqueries
  • Review documentation and examples to fill any knowledge gaps
Five other activities
Expand to see all activities and additional details
Show all eight activities
Follow a tutorial on data lakehouse architecture
This tutorial will provide a practical understanding of data lakehouse architecture
Browse courses on Data Lakehouse
Show steps
  • Find a tutorial on data lakehouse architecture
  • Follow the tutorial step-by-step
  • Take notes and ask questions in the tutorial's forum
Attend a workshop on data governance best practices
Attending a workshop will provide hands-on experience with data governance best practices
Browse courses on Data Governance
Show steps
  • Search for and register for a workshop on data governance best practices
  • Attend the workshop and actively participate
  • Apply the lessons learned from the workshop to your own work
Explore a real-world data set using a data exploration tool
This project will introduce students to the practical application of data organization and storage
Browse courses on Data Organization
Show steps
  • Choose a real-world data set
  • Upload the data set to a data exploration tool
  • Clean and organize the data
  • Create visualizations to explore the data
Create a blog post or article about data governance
Writing a blog post or article on this topic will reinforce the principles and best practices of data governance
Browse courses on Data Governance
Show steps
  • Research data governance principles
  • Identify key concepts and best practices
  • Write a blog post or article that is both informative and engaging
  • Share your blog post or article on social media or other platforms
Mentor a junior data analyst on data organization and storage
Mentoring others is a powerful way to deepen understanding and reinforce concepts in this course
Browse courses on Data Organization
Show steps
  • Identify a junior data analyst who is interested in learning about data organization and storage
  • Set up regular meetings to discuss data organization and storage concepts and principles
  • Provide guidance and support as the mentee applies these concepts to their own work

Career center

Learners who complete Data Management and Storage in the Cloud will develop knowledge and skills that may be useful to these careers:

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 Data Management and Storage in the Cloud.
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.
Offers a practical and accessible approach to data governance by focusing on leveraging existing organizational activities. It emphasizes making progress without striving for immediate perfection, making it valuable for those new to implementing governance programs. It's highly recommended for its plain language and actionable advice.
Given the increasing importance of data security and privacy, this book is highly relevant for understanding contemporary challenges in cloud storage. It provides practical guidance and case studies, making it valuable for professionals and students interested in cloud security. It useful reference for security practitioners.
Security is paramount in cloud storage. must-read for understanding the security and privacy implications of storing data in the cloud. It provides an enterprise perspective on risks, compliance, and best practices, making it essential for IT professionals, security practitioners, and business managers.
Definitive work on the principles and techniques of transaction processing, a core concept in database systems and distributed computing. It is essential for understanding how to build reliable and consistent data systems.
Written by an experienced Chief Data Officer, this handbook provides an exhaustive guide to understanding data governance, its components, and positioning solutions for tangible business outcomes. It covers the entire lifecycle of a data governance program with a focus on practical implementation and value creation.
This study guide is specifically designed for the Google Cloud Professional Data Engineer certification, which covers many services relevant to Dataplex, including data lakes, data processing, and governance on GCP. It's an excellent resource for understanding how Dataplex fits within the broader Google Cloud data ecosystem and preparing for practical application.
A classic in the field, this book provides a comprehensive overview of the data governance lifecycle. It's an excellent starting point for understanding how to design, deploy, and maintain a successful data governance program within an organization. While published in 2012, its foundational principles remain highly relevant.
Provides a detailed look inside the implementation of database systems, covering topics like storage engines, indexing, and concurrency control. It is excellent for deepening understanding of how databases function at a low level and is valuable for database professionals.
This is another classic textbook on distributed systems that provides a strong theoretical foundation for understanding cloud storage. It covers essential concepts like communication, processes, naming, synchronization, consistency and replication, fault tolerance, and security in distributed environments. It's suitable for advanced undergraduate and graduate students.
Must-read for anyone involved in an organization's cloud adoption journey. It provides proven strategies for transforming an organization using the cloud, addressing not just the technology but also the cultural and organizational changes required. Understanding this context is crucial for making informed decisions about cloud storage adoption and strategy.
Covers the end-to-end process of designing, building, and managing data pipelines and analytical systems. It is highly relevant for aspiring and practicing data engineers, covering a wide range of contemporary data management tools and techniques.
Addressing the critical issue of data quality in modern data pipelines, this book offers practical strategies for ensuring data trustworthiness. It covers concepts relevant to Dataplex's data quality features and valuable resource for data engineers and practitioners focused on building reliable data assets within a data lake or similar environment.
Dives into the crucial role of data stewards in a data governance program. It provides actionable guidance on setting up and running a data stewardship effort, including organizing, training, and working with data stewards. The second edition is updated for the Big Data era and international business considerations.
A widely-used textbook in database courses, this book offers a thorough introduction to database systems, including relational models, SQL, and transaction management. It's valuable for both broad understanding and deepening knowledge, providing a solid theoretical and practical basis for data management.
Provides a practical guide to establishing and implementing data governance programs. It is crucial for understanding the organizational and process aspects of managing data effectively and valuable resource for data leaders and practitioners.
Given the strong regulatory landscape surrounding data, this book provides clear guidance on data protection, privacy, and information law, including GDPR and the Data Protection Act 2018. It's essential for understanding the legal context of data governance and compliance.
Is often cited as a foundational text in the academic study of cloud computing, covering key principles and paradigms that include storage. It's suitable for graduate students and researchers seeking a comprehensive overview of the field.
A follow-up to the popular 'Non-Invasive Data Governance,' this book offers further experience and perspective on implementing data governance with minimal disruption. It reinforces the practical approach of recognizing and formalizing existing data-related activities. It's valuable for those looking to deepen their understanding of the non-invasive methodology.
Delves into the concepts, technology, and practice of enterprise data catalogs. It explains how data catalogs enable data discovery, support data governance, and foster innovation. Given Dataplex's strong data cataloging capabilities, this book provides essential background and in-depth knowledge for leveraging such features effectively.
Focuses on practical data engineering using modern technologies like Apache Spark and Delta Lake. It is highly relevant for professionals building data pipelines and managing data in cloud-based data lakes, addressing contemporary challenges in big data.
Addresses contemporary data management challenges in the context of cloud environments, including topics like data governance and data security. It's relevant for professionals and graduate students dealing with large-scale data in the cloud.
This guide provides practical advice and techniques for improving data quality, a fundamental aspect of effective data management. It valuable resource for anyone responsible for ensuring the accuracy and reliability of data.
Focuses on the principles and practices for building and operating reliable and resilient database systems. It is highly relevant for professionals in site reliability engineering and database administration, addressing the operational challenges of data management.
Offers a practical exploration of approaches to data privacy for technologists. It introduces fundamental concepts and provides examples and code snippets for implementing privacy in practice. It's a valuable resource for understanding how to integrate privacy into data systems, addressing a key contemporary topic in data governance.
Provides a solid foundation in cloud computing architecture and concepts, with a dedicated focus on storage as a key component. It's suitable for students and professionals looking for a structured introduction to the field. It can serve as a useful reference for understanding the broader cloud ecosystem.
Examines the ethical considerations surrounding data and analytics, including privacy, bias, and accountability. It crucial read for anyone working with data to understand the societal impact and ethical responsibilities in data management.
Focuses on the practical aspects of data warehouse design, including star schemas. It offers valuable insights into the latest trends and best practices in data warehousing.
Given the strong link between data governance and data privacy, this book is highly relevant. It provides practical guidance for engineers on designing and implementing scalable privacy programs, navigating the trade-offs between security and business needs. It covers classifying data, building tools for data discovery, and implementing technical privacy controls.
Challenges traditional approaches to data governance and advocates for a more agile and people-centric model. It offers a contemporary perspective on governance that aligns well with the distributed and flexible nature of cloud-based data platforms and data meshes, providing insights relevant to governing data in a Dataplex environment.
Demystifies data governance through pragmatic advice based on real-world experience and research. It offers a case-based approach to understanding and implementing data governance frameworks, making it a practical guide for practitioners facing the complexities of the field.
Provides a practical framework for incorporating ethical principles into data management and governance. As organizations handle increasing amounts of data, understanding data ethics is crucial. This book is highly relevant for ensuring responsible data handling within Dataplex and related data initiatives.
Offers a practical, step-by-step approach to data governance applicable across industries. It provides perspectives and practices for effectively managing an organization's data. It's a solid resource for gaining a broad understanding and practical insights.
Offers a step-by-step guide to building a data governance strategy from scratch. It focuses on creating a cross-functional strategy, building a data governance team, and embedding governance into development processes. It's a practical resource for establishing a data-driven culture.
Provides a practical guide to building and managing data pipelines using Apache Airflow, a popular workflow orchestration tool. It is relevant for data engineers and anyone involved in building automated data processing workflows.
Focuses specifically on database storage in the cloud, including building and managing scalable and highly available cloud storage solutions for databases. It provides detailed examples and best practices.
Highlights common mistakes and poor practices in SQL programming and database design. It is highly practical for anyone writing SQL queries or designing databases, helping to improve efficiency and avoid common issues.
This handbook specifically addresses data governance from the perspective of the Chief Data Officer. It provides insights and guidance for CDOs on leading and implementing data governance within their organizations. It's a valuable resource for those in leadership roles or aspiring to them.
Provides a roadmap for planning and implementing a data and information quality management program. It offers practical guidance based on research and real-world examples, focusing on making the economic case for data quality and gaining organizational support.
This collection of seminal papers provides insights into the historical development and key concepts in database systems research. It is valuable for advanced students and researchers seeking to understand the evolution of data management ideas.
This textbook provides a solid understanding of cloud computing foundations and how to program applications for the cloud, including utilizing cloud storage services. It's suitable for undergraduate students and developers who want to gain practical skills in this area.
Takes a practical approach to cloud computing, making it suitable for those who want to understand how cloud storage is implemented and used in real-world scenarios. It covers the business case and operational benefits of moving to the cloud. This book good resource for both students and IT professionals.
Provides insights into the evolving role of the Chief Data Officer, a key figure in driving data governance initiatives. It offers practical guidance for CDOs and those working with them, covering data strategy, team building, and the CDO's relationship with data governance. The second edition includes updated perspectives on the CDO landscape.
Provides a technical overview of data lakehouse architecture, focusing on its benefits and challenges. It is suitable for data architects, engineers, and scientists who want to gain a deeper understanding of the subject.
This comprehensive guide compares and contrasts data lakes and data warehouses, providing a comprehensive overview of the data lakehouse architecture and its benefits. It is valuable for data architects and data engineers looking to gain a broader understanding of the data lakehouse concept.
Focuses on the crucial aspect of selecting the right tools for data governance. It provides evaluation criteria, discusses big data governance, and emphasizes alignment with overall enterprise data management. It's a practical guide for those involved in the technological aspects of data governance.
Provides practical knowledge for implementing cloud storage using OpenStack Swift. It's suitable for those interested in building and managing their own cloud storage infrastructure. It delves into architecture, design examples, and use cases.

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