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Understanding Non-relational Data with Azure
Pinal Dave
Pinal Dave
This course will teach you various non-relational stores in Azure and their use case with a variety of non-relational workloads.
Read more
This course will teach you various non-relational stores in Azure and their use case with a variety of non-relational workloads.
Read more
This course will teach you various non-relational stores in Azure and their use case with a variety of non-relational workloads.
Non-relational data is an asset that can be utilized in Azure.mIn this course, Understanding Non-relational Data with Azure, you’ll learn about various non-relational data stores and their use cases.
First, you’ll explore all available non-relational data stores like Azure Table Storage, Azure Blob Storage, Azure File Storage and Azure Cosmos DB.
Next, you’ll discover advantages and challenges in implementing various non-relational workloads on data stores. Finally, you’ll learn how time series works with Azure as well as CSV and JSON files.
By the end of this course, you’ll have the skills and knowledge of non-relational data-stores available on the Azure platform needed to analyze your non-relational workload.
Register for this course and see more details by visiting:
OpenCourser.com/course/grktkx/understanding
What's inside
Syllabus
Course Overview
Analyzing Non-relational Data Stores
Working with Time Series Data, JSON, and CSV Files
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops skills for working with data stores like Azure Table Storage, Azure Blob Storage, Azure File Storage, and Azure Cosmos DB, which are highly relevant to roles in data management and analysis
Taught by Pinal Dave, who is a recognized expert in Azure and data management
Fits well for data professionals seeking to expand their knowledge of non-relational data
Offers a comprehensive overview of non-relational data stores, covering their advantages and challenges
Includes hands-on labs and interactive materials to enhance practical understanding
Students should come in with some prior knowledge of data management or data analysis concepts
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Activities
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Understanding Non-relational Data with Azure.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Understanding Non-relational Data with Azure will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use data to build predictive models and solve business problems. They work with stakeholders to understand business requirements and translate them into data science models. This course may be useful for aspiring Data Scientists who wish to learn about non-relational data stores and how they can be used to store and analyze different types of data.
Data Architect
Data Architect
Data Architects design and build data architectures that meet the needs of an organization. They work with stakeholders to understand business requirements and translate them into technical specifications. This course may be useful for aspiring Data Architects who wish to learn about non-relational data stores and how they can be used to meet the needs of different types of organizations.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with stakeholders to understand business requirements and translate them into software specifications. This course may be useful for aspiring Software Engineers who wish to learn about non-relational data stores and how they can be used to build and maintain software applications.
Data Analyst
Data Analyst
Data Analysts use data to identify trends and patterns. They work with stakeholders to understand business requirements and translate them into data analysis plans. This course may be useful for aspiring Data Analysts who wish to learn about non-relational data stores and how they can be used to store and analyze different types of data.
Database Administrator
Database Administrator
Database Administrators are responsible for managing and maintaining databases, which may include designing and implementing database systems, as well as monitoring and troubleshooting database performance and security. This course may be useful for aspiring Database Administrators who wish to learn about non-relational data stores, which are becoming increasingly popular due to their scalability and flexibility.
Information Security Analyst
Information Security Analyst
Information Security Analysts develop and implement information security policies and procedures. They work with stakeholders to understand business requirements and translate them into information security specifications. This course may be useful for aspiring Information Security Analysts who wish to learn about non-relational data stores and how they can be used to implement information security policies and procedures.
Data Engineer
Data Engineer
Data Engineers build and maintain data pipelines that move data from source systems to target systems. They also develop and maintain data quality processes to ensure that data is accurate and consistent. This course may be useful for aspiring Data Engineers who wish to learn about non-relational data stores and how they can be used to build and maintain data pipelines.
Cloud Architect
Cloud Architect
Cloud Architects design and build cloud-based solutions. They work with stakeholders to understand business requirements and translate them into cloud architecture specifications. This course may be useful for aspiring Cloud Architects who wish to learn about non-relational data stores and how they can be used to build and maintain cloud-based solutions.
Cloud Engineer
Cloud Engineer
Cloud Engineers build and maintain cloud-based solutions. They work with stakeholders to understand business requirements and translate them into cloud engineering specifications. This course may be useful for aspiring Cloud Engineers who wish to learn about non-relational data stores and how they can be used to build and maintain cloud-based solutions.
Systems Engineer
Systems Engineer
Systems Engineers design, develop, and maintain complex systems. They work with stakeholders to understand business requirements and translate them into system specifications. This course may be useful for aspiring Systems Engineers who wish to learn about non-relational data stores and how they can be used to build and maintain complex systems.
Data Governance Analyst
Data Governance Analyst
Data Governance Analysts develop and implement data governance policies and procedures. They work with stakeholders to understand business requirements and translate them into data governance specifications. This course may be useful for aspiring Data Governance Analysts who wish to learn about non-relational data stores and how they can be used to implement data governance policies and procedures.
Big Data Engineer
Big Data Engineer
Big Data Engineers build and maintain big data systems. They work with stakeholders to understand business requirements and translate them into big data engineering specifications. This course may be useful for aspiring Big Data Engineers who wish to learn about non-relational data stores and how they can be used to build and maintain big data systems.
Data Privacy Analyst
Data Privacy Analyst
Data Privacy Analysts develop and implement data privacy policies and procedures. They work with stakeholders to understand business requirements and translate them into data privacy specifications. This course may be useful for aspiring Data Privacy Analysts who wish to learn about non-relational data stores and how they can be used to implement data privacy policies and procedures.
Cloud Data Engineer
Cloud Data Engineer
Cloud Data Engineers build and maintain cloud-based data solutions. They work with stakeholders to understand business requirements and translate them into cloud data engineering specifications. This course may be useful for aspiring Cloud Data Engineers who wish to learn about non-relational data stores and how they can be used to build and maintain cloud-based data solutions.
Data Integration Engineer
Data Integration Engineer
Data Integration Engineers design and build data integration solutions. They work with stakeholders to understand business requirements and translate them into data integration specifications. This course may be useful for aspiring Data Integration Engineers who wish to learn about non-relational data stores and how they can be used to build and maintain data integration solutions.
For more career information including salaries, visit:
OpenCourser.com/course/grktkx/understanding
Reading list
We've selected nine 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
Understanding Non-relational Data with Azure.
Time series data key part of this course. provides a great background on time series databases.
Provides a practical guide to implementing non-relational data workloads on Azure File Storage.
Provides a practical guide to implementing non-relational data workloads on Azure Table Storage.
Save
Offers a concise introduction to NoSQL databases, covering various data models and use cases. Provides a good foundation for understanding the concepts of non-relational data stores.
Provides an extensive reference for MongoDB, covering its features, administration, and query optimization. Serves as a valuable resource for developers and administrators working with MongoDB.
The official documentation for Azure Storage, providing comprehensive information on its features and APIs. Serves as an essential reference for developers working with Azure Storage.
Save
Provides a comprehensive introduction to time series analysis, covering both theoretical concepts and practical applications. Offers a good foundation for working with time series data.
Save
A hands-on introduction to MongoDB, covering its core concepts and features. Suitable for learners who are new to MongoDB and want to gain practical experience.
The official tutorial for Azure Data Catalog, providing step-by-step instructions on how to use the service. Suitable for learners who want to explore the features and capabilities of Data Catalog.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/grktkx/understanding
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Time
56 hours
Level
Intermediate
Via
Pluralsight
Instructor
Pinal Dave
Language
English
Good to know
Develops skills for working with data stores like Azure Table Storage, Azure Blob Storage, Azure File Storage, and Azure Cosmos DB, which are highly relevant to roles in data management and analysis
Taught by Pinal Dave, who is a recognized expert in Azure and data management
Fits well for data professionals seeking to expand their knowledge of non-relational data
Offers a comprehensive overview of non-relational data stores, covering their advantages and challenges
Includes hands-on labs and interactive materials to enhance practical understanding
Students should come in with some prior knowledge of data management or data analysis concepts
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