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Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console. This lab shows you how to get started with Dataplex in the Google Cloud console by walking you through creating a lake, adding a zone, attaching and detaching assets, and deleting zones and lakes.

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What's inside

Syllabus

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what should give you pause
and possible dealbreakers
Teaches the fundamentals of Dataplex, which is a cloud-based data lake service
Offers practical application in the form of hands-on labs
Suited for those with basic knowledge of Google Cloud Platform

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Reviews summary

Dataplex console: quick start overview

According to students, Dataplex: Qwik Start - Console offers an excellent quick start for Google Cloud Dataplex, delivering clear, step-by-step instructions and a smooth console experience. It's ideal for beginners, providing practical hands-on experience with core operations like creating lakes and zones. However, reviewers consistently note its introductory scope, advising that it lacks depth for advanced features and might be too basic for experienced users seeking comprehensive coverage. It serves effectively as a foundational guide for subsequent learning.
Offers valuable direct engagement with the Google Cloud Console.
"It walks you through creating lakes, zones, and assets very clearly. The console interface is well-explained and easy to follow."
"I gained practical knowledge from the guided steps."
"Perfect for a hands-on introduction. The lab is well-structured and guides me through the process."
"The console experience was smooth and allowed me to grasp fundamental concepts quickly."
Ideal for new learners seeking foundational Dataplex understanding.
"Highly recommend for beginners looking to get hands-on experience quickly."
"Very helpful for understanding the core concepts of Dataplex and navigating the Google Cloud Console."
"Useful if you literally know nothing about Dataplex or Google Cloud console."
Provides easy-to-follow, step-by-step guidance.
"This lab is an excellent quick start... It walks you through creating lakes, zones, and assets very clearly. The console interface is well-explained and easy to follow."
"The step-by-step instructions are precise and easy to follow. I completed it quickly and gained practical knowledge."
"Perfect for a hands-on introduction. The lab is well-structured and guides you through the process without any confusion."
Does not cover advanced features or complex integrations.
"A good introductory lab for Dataplex... However, it doesn't go into much detail on advanced features or use cases..."
"If you have some experience with Google Cloud, it might feel a bit too basic. I was hoping for a bit more on integrating Dataplex..."
"Basic, very basic... For anyone with a bit of background, it's just clicking through steps you could probably figure out. Lacks challenge."
"I found this lab useful for a quick overview. It's truly a 'qwik start' and sets you up nicely, but I don't expect a deep dive."

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 Dataplex: Qwik Start - Console with these activities:
Practice using the Google Cloud console
Review the basics of using the Google Cloud console to prepare for this course.
Browse courses on Google Cloud Console
Show steps
  • Log in to the Google Cloud console
  • Navigate to the Dataplex section
  • Create a new lake
Attend a Dataplex meetup
Attend a Dataplex meetup to connect with other Dataplex users and learn about the latest trends.
Browse courses on Dataplex
Show steps
  • Find a Dataplex meetup in your area.
  • Register for the meetup.
  • Attend the meetup and network with other attendees.
  • Learn about the latest Dataplex trends.
Attend a Dataplex workshop
Attend a Dataplex workshop to learn about the latest features and best practices from Dataplex experts.
Browse courses on Dataplex
Show steps
  • Find a Dataplex workshop in your area.
  • Register for the workshop.
  • Attend the workshop and learn from Dataplex experts.
  • Network with other Dataplex users.
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Practice coding in Google Cloud console
Practice coding in the Google Cloud console to reinforce your understanding of Dataplex concepts and solidify your programming skills.
Browse courses on Dataplex
Show steps
  • Create a Google Cloud account.
  • Install the Google Cloud SDK.
  • Create a Dataplex lake using the Google Cloud console.
  • Add data to your lake using the Google Cloud console.
  • Query your data using the Google Cloud console.
Participate in a Dataplex hackathon
Participate in a Dataplex hackathon to apply your skills to real-world challenges and learn from experts.
Browse courses on Dataplex
Show steps
  • Find a Dataplex hackathon.
  • Form a team or work individually.
  • Develop your solution.
  • Present your solution to the judges.
Build a data pipeline
Build a data pipeline to gain hands-on experience with the end-to-end data processing workflow.
Browse courses on Data Pipelines
Show steps
  • Design your data pipeline.
  • Choose the right tools and technologies.
  • Implement your data pipeline.
  • Test and deploy your data pipeline.
Create a collection of resources for Dataplex
Organize and share resources related to Dataplex to deepen your understanding.
Browse courses on Compilation
Show steps
  • Gather resources such as articles, tutorials, and videos
  • Organize the resources in a central location
  • Share the resources with others
Mentor a new Dataplex user
Mentor a new Dataplex user to share your knowledge and help them get started with Dataplex.
Browse courses on Dataplex
Show steps
  • Find a new Dataplex user who needs help.
  • Offer your help and guidance.
  • Share your knowledge and expertise.
  • Help the new user to get started with Dataplex.
Build a data lake using Dataplex
Create a real-world data lake using Dataplex to put your knowledge into practice.
Browse courses on Data Lake
Show steps
  • Design the data lake
  • Create the data lake using Dataplex
  • Populate the data lake with data
  • Query the data in the data lake
Contribute to the Dataplex open-source community
Contribute to the Dataplex open-source community to give back to the community and help improve Dataplex.
Browse courses on Dataplex
Show steps
  • Find a Dataplex open-source project.
  • Contribute to the project.
  • Share your contributions with the community.
  • Help to improve Dataplex.
Participate in the Dataplex hackathon
Test your skills and learn from others by participating in a Dataplex hackathon.
Show steps
  • Register for the hackathon
  • Develop a solution to the hackathon challenge
  • Submit your solution
Mentor a new Dataplex user
Share your knowledge and help others learn about Dataplex by mentoring them.
Browse courses on Mentoring
Show steps
  • Find a mentee
  • Establish a mentoring plan
  • Meet with your mentee regularly

Career center

Learners who complete Dataplex: Qwik Start - Console 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 Dataplex: Qwik Start - Console.
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.
Explores the fundamental trade-offs and concepts behind designing modern data systems, covering various technologies and distributed systems principles. It is highly relevant for understanding contemporary data management challenges and must-read for engineers and architects.
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.
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.
This second edition provides updated and enhanced coverage of data engineering on GCP, including data governance services, which are managed through the Cloud Console. It's highly relevant for those looking to deepen their understanding of current data practices on GCP and valuable resource for data professionals.
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.
Focuses on the Data Lakehouse, a contemporary architectural pattern that combines the benefits of Data Lakes and Data Warehouses. Authored by a pioneer in the field, it provides insights into building and leveraging this modern approach to data management and analytics. This key resource for understanding current developments.
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.
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.
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.
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.
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.
Focuses on the practical implementation of the Data Lakehouse architecture. It covers design considerations, challenges, and best practices, providing a hands-on perspective on building a modern data platform that leverages Data Lakes. This valuable resource for those looking to implement a Data Lakehouse.
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.
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.
Published in 2023, this guide offers a comprehensive look at a wide range of GCP services, including computing, storage, database, and networking. It's designed to familiarize readers with the various services accessible via the Cloud Console and provides an overview of topics like Big Data services and APIs. is highly relevant for gaining a broad understanding of the platform and its console interface.
Published recently in late 2023, this book focuses on building cloud-native applications on Google Cloud, covering concepts like microservices, containerization, and leveraging various GCP services accessible through the Console. It addresses contemporary development practices and how to utilize GCP for scalable and secure applications, making it highly relevant for professionals.
This guide provides a concise yet comprehensive explanation of adopting a Data Lakehouse architecture. It reviews design considerations, challenges, and best practices, offering key insights into managing structured and unstructured data and supporting various use cases. This practical resource for understanding and implementing the Data Lakehouse.
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.
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.
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.
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.
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.
While a study guide for a specific certification, this book offers a strong introduction to the core GCP services and concepts frequently accessed through the Cloud Console. It covers essential areas like computing, storage, networking, and security. is excellent for solidifying foundational knowledge and is often used by individuals preparing for their first GCP certification.
Security is paramount in the cloud, and this book dives deep into GCP's security features and best practices, many of which are configured and monitored through the Cloud Console. It's crucial for anyone responsible for securing GCP environments and provides in-depth knowledge on topics like IAM, network security, and data security.
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.
Helps navigate the complex landscape of modern data architectures, including Data Lakes and the emerging Data Lakehouse concept. It provides a comparative analysis of different approaches, aiding in understanding where Data Lakes fit within the broader data ecosystem and informing decisions about the most suitable architecture for specific needs. This is particularly useful for understanding contemporary trends.
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.
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.
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.
Another resource specifically for the Cloud Security Engineer certification, this book offers a practical, code-driven approach to mastering GCP security concepts and controls, many of which are implemented via the Cloud Console. It includes hands-on examples using `gcloud` and Golang.
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.
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.
Addresses the critical topic of migrating and modernizing legacy applications on Google Cloud, utilizing various services configured via the Cloud Console. It's highly relevant for professionals involved in cloud migration strategies and provides insights into transforming applications for a cloud-native environment.
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 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 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.
Apache Spark powerful processing engine often used with Data Lakes. This book, written by the creators of Spark, provides a comprehensive guide to using, deploying, and maintaining Spark. It's essential for anyone who will be processing data within a Data Lake environment, offering deep insights into Spark's capabilities and optimization.
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.
Takes a deeper, more critical look at data ethics, focusing on the power dynamics inherent in data processing and AI. It's relevant for advanced students and professionals who want to understand the broader societal impact and ethical challenges associated with large-scale data platforms like those managed with Dataplex.
Data governance critical aspect of managing Data Lakes effectively and preventing them from becoming 'data swamps.' provides a comprehensive guide to establishing data governance programs, covering the necessary people, processes, and tools. It's essential for ensuring the quality, security, and usability of data within a Data Lake.

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