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Warner Chaves

This course introduces Snowflake’s capabilities of storage and data protection. These are critical for guaranteeing data integrity, and are required components of the SnowPro Data Engineer exam.

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This course introduces Snowflake’s capabilities of storage and data protection. These are critical for guaranteeing data integrity, and are required components of the SnowPro Data Engineer exam.

The Snowflake cloud data platform has features to organize, protect, and recover your data as you develop your ingestion and transformation processes. In this course, SnowPro Advanced Data Engineer: Storage and Data Protection, you’ll learn about the platform’s capabilities in regards to organizing, protecting, and recovering storage and data.

First, you’ll explore Snowflake’s fundamental data recovery concepts like Time Travel and Fail-safe. Next, you’ll discover the way Snowflake organizes your data when loaded into the platform. Finally, you’ll learn about the platform’s capabilities for cloning objects and manipulating the clones.

When you’re finished with this course, you’ll have the skills and knowledge of Snowflake’s storage and data organization, protection, and recovery features to tackle the SnowPro Advanced: Data Engineer exam.

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What's inside

Syllabus

Course Overview
Recovering Data
Understanding Micro-partitions and Clustering
Cloning Objects
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides industry-standard methods for storage and data protection, beneficial for learners preparing for SnowPro Advanced Data Engineer exam
Focuses on organizing, protecting, and recovering data in Snowflake, relevant for learners interested in cloud data platform management
Taught by Warner Chaves, recognized for their expertise in data engineering and Snowflake
Covers fundamental data recovery concepts such as Time Travel and Fail-safe, essential knowledge for data engineers
Provides insights into Snowflake's data organization, a critical aspect for efficient data management
Teaches cloning techniques for objects, offering flexibility in data manipulation and storage optimization

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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 SnowPro Advanced Data Engineer: Storage and Data Protection with these activities:
Review 'Snowflake: The Data Warehouse Built for the Cloud'
Gain a deeper understanding of Snowflake's architecture and capabilities by reading a comprehensive book on the subject.
Show steps
  • Read the book and take notes on key concepts and features.
  • Highlight important sections and make annotations.
  • Summarize the book's main ideas in your own words.
Organize and Review Course Materials
Stay organized and improve retention by compiling and reviewing important course materials.
Show steps
  • Collect lecture notes, assignments, and other course materials.
  • Organize materials into a logical structure, such as by topic or week.
  • Review materials regularly to reinforce learning.
Work Through Snowflake Tutorials on Time Travel and Fail-Safe
Enhance your understanding of Snowflake's data recovery mechanisms by following guided tutorials.
Browse courses on Time Travel
Show steps
  • Visit the Snowflake documentation for tutorials on Time Travel and Fail-Safe.
  • Follow the step-by-step instructions to create and execute Time Travel queries.
  • Experiment with Fail-Safe to recover data from a specific point in time.
Two other activities
Expand to see all activities and additional details
Show all five activities
Practice Cloning Objects
Performing these drills will help solidify your understanding of how to clone objects in Snowflake.
Browse courses on Data Manipulation
Show steps
  • Review the documentation on cloning objects
  • Create a few test objects
  • Clone the test objects
  • Validate the results
Create a Data Protection Plan for a Snowflake Data Warehouse
Apply your knowledge by creating a comprehensive plan to safeguard data within a Snowflake data warehouse.
Browse courses on Data Protection
Show steps
  • Analyze the data protection requirements for a specific organization or use case.
  • Design a data protection plan that includes strategies for data encryption, access control, and data recovery.
  • Document the plan and present it to stakeholders for feedback.

Career center

Learners who complete SnowPro Advanced Data Engineer: Storage and Data Protection will develop knowledge and skills that may be useful to these careers:
Data Engineer
Data Engineers build and maintain the infrastructure that supports data analytics applications. They work with data to ensure that it is clean, consistent, and accessible to users. This course is relevant to Data Engineers because it provides a deep understanding of Snowflake’s capabilities for organizing, protecting, and recovering data. This knowledge can help Data Engineers to build and maintain data systems that are reliable, scalable, and secure.
Data Architect
Data Architects design and manage data systems to meet an organization’s data needs. They work with stakeholders to understand data requirements, and then design and implement data storage and processing solutions. This course is relevant to Data Architects because it provides a deep understanding of Snowflake’s capabilities for organizing, protecting, and recovering data. This knowledge can help Data Architects to design and implement data systems that are reliable, scalable, and secure.
Database Administrator
Database Administrators manage and maintain databases. They work with data to ensure that it is secure, accessible, and performant. This course is relevant to Database Administrators because it provides a deep understanding of Snowflake’s capabilities for organizing, protecting, and recovering data. This knowledge can help Database Administrators to manage and maintain databases that are reliable, scalable, and secure.
Data Scientist
Data Scientists use data to build predictive models. They work with data to identify patterns and trends, and then build models that can be used to predict future outcomes. This course is relevant to Data Scientists because it provides a deep understanding of Snowflake’s capabilities for organizing, protecting, and recovering data. This knowledge can help Data Scientists to work with data more effectively and efficiently.
Business Analyst
Business Analysts use data to solve business problems. They work with stakeholders to understand business needs, and then use data to make recommendations for how to improve business processes. This course is relevant to Business Analysts because it provides a deep understanding of Snowflake’s capabilities for organizing, protecting, and recovering data. This knowledge can help Business Analysts to work with data more effectively and efficiently.
Data Analyst
Data Analysts use data to make informed decisions. They work with data to identify trends, patterns, and insights. This course is relevant to Data Analysts because it provides a deep understanding of Snowflake’s capabilities for organizing, protecting, and recovering data. This knowledge can help Data Analysts to work with data more effectively and efficiently.
Cloud Architect
Cloud Architects design and manage cloud computing solutions. They work with customers to understand their business needs, and then design and implement cloud solutions that meet those needs. This course is relevant to Cloud Architects because it provides a deep understanding of Snowflake’s capabilities for organizing, protecting, and recovering data. This knowledge can help Cloud Architects to design and implement cloud solutions that are reliable, scalable, and secure.
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with data to ensure that it is stored, processed, and retrieved efficiently. This course is relevant to Software Engineers because it provides a deep understanding of Snowflake’s capabilities for organizing, protecting, and recovering data. This knowledge can help Software Engineers to design and develop software applications that are reliable, scalable, and secure.
Data Warehouse Architect
Data Warehouse Architects design and manage data warehouses. They work with data to ensure that it is stored, processed, and retrieved efficiently. This course is relevant to Data Warehouse Architects because it provides a deep understanding of Snowflake’s capabilities for organizing, protecting, and recovering data. This knowledge can help Data Warehouse Architects to design and manage data warehouses that are reliable, scalable, and secure.
Database Designer
Database Designers design and develop databases. They work with data to ensure that it is stored, processed, and retrieved efficiently. This course is relevant to Database Designers because it provides a deep understanding of Snowflake’s capabilities for organizing, protecting, and recovering data. This knowledge can help Database Designers to design and develop databases that are reliable, scalable, and secure.
Data Security Analyst
Data Security Analysts develop and implement data security policies and procedures. They work with stakeholders to understand data security risks, and then develop and implement policies and procedures to mitigate those risks. This course is relevant to Data Security Analysts because it provides a deep understanding of Snowflake’s capabilities for organizing, protecting, and recovering data. This knowledge can help Data Security Analysts to develop and implement data security policies and procedures that are effective and efficient.
Data Privacy Analyst
Data Privacy Analysts develop and implement data privacy policies and procedures. They work with stakeholders to understand data privacy risks, and then develop and implement policies and procedures to mitigate those risks. This course is relevant to Data Privacy Analysts because it provides a deep understanding of Snowflake’s capabilities for organizing, protecting, and recovering data. This knowledge can help Data Privacy Analysts to develop and implement data privacy policies and procedures that are effective and efficient.
Data Protection Analyst
Data Protection Analysts develop and implement data protection policies and procedures. They work with stakeholders to understand data protection risks, and then develop and implement policies and procedures to mitigate those risks. This course is relevant to Data Protection Analysts because it provides a deep understanding of Snowflake’s capabilities for organizing, protecting, and recovering data. This knowledge can help Data Protection Analysts to develop and implement data protection policies and procedures that are effective and efficient.
Data Integration Engineer
Data Integration Engineers build and maintain data pipelines. They work with data to ensure that it is integrated from multiple sources and stored in a consistent format. This course is relevant to Data Integration Engineers because it provides a deep understanding of Snowflake’s capabilities for organizing, protecting, and recovering data. This knowledge can help Data Integration Engineers to build and maintain data pipelines that are reliable, scalable, and secure.
Data Governance Analyst
Data Governance Analysts develop and implement data governance policies and procedures. They work with stakeholders to understand data needs, and then develop and implement policies and procedures to ensure that data is used in a consistent and ethical manner. This course is relevant to Data Governance Analysts because it provides a deep understanding of Snowflake’s capabilities for organizing, protecting, and recovering data. This knowledge can help Data Governance Analysts to develop and implement data governance policies and procedures that are effective and efficient.

Reading list

We've selected ten 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 SnowPro Advanced Data Engineer: Storage and Data Protection.
A comprehensive textbook on database systems, providing a strong theoretical foundation for understanding storage and data protection concepts. Useful as a reference for in-depth knowledge.
A classic textbook on data warehousing concepts and best practices. Provides valuable insights into how storage and data protection fit into a data warehousing strategy.
Focuses on data warehousing concepts and best practices in Snowflake. Provides valuable insights into how storage and data protection fit into a data warehousing strategy.
Covers data protection strategies in cloud environments, including best practices for data backup, recovery, and encryption. Provides valuable insights into the implementation of these strategies in Snowflake.
Provides a comprehensive overview of security and privacy issues in big data environments. Helpful for understanding the broader context of data protection in Snowflake.
Provides a comprehensive overview of Snowflake's architecture and capabilities. It valuable resource for anyone who wants to learn more about Snowflake.
Provides a comprehensive overview of data warehousing in the cloud. It covers topics such as data modeling, data integration, and data security. While it does not focus specifically on Snowflake, it provides valuable background knowledge for anyone who wants to learn more about data warehousing.
Provides a comprehensive overview of big data and analytics. It covers topics such as data storage, data processing, and data visualization. While it does not focus specifically on Snowflake, it provides valuable background knowledge for anyone who wants to learn more about data engineering.
Provides a comprehensive overview of Hadoop. It covers topics such as data storage, data processing, and data analysis. While it does not focus specifically on Snowflake, it provides valuable background knowledge for anyone who wants to learn more about data engineering.
Provides a comprehensive overview of Pig. It covers topics such as data storage, data processing, and data analysis. While it does not focus specifically on Snowflake, it provides valuable background knowledge for anyone who wants to learn more about data engineering.

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