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Kishan Iyer

When developing a storage solution for your data, it is crucial to identify features present in your database and how to adopt them to fulfill your goals. This course gives a theoretical and hands-on understanding of how this applies to Couchbase.

When storing data in any database, it becomes critical to recognize the features available and how best to adopt them to meet your data storage and access requirements. This course delves into the different ways in which document data can be stored and accessed from a Couchbase database.

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When developing a storage solution for your data, it is crucial to identify features present in your database and how to adopt them to fulfill your goals. This course gives a theoretical and hands-on understanding of how this applies to Couchbase.

When storing data in any database, it becomes critical to recognize the features available and how best to adopt them to meet your data storage and access requirements. This course delves into the different ways in which document data can be stored and accessed from a Couchbase database.

We start off with an overview of Couchbase and its distributed architecture. This includes the various services which are available in the database and how these can be set up in a multi-node cluster. We cover the representation of data in document databases in general and how this applies to Couchbase.

Next, we dive into the storage of documents inside buckets. We cover the significant concepts in the database which apply to buckets such as vBuckets and data compaction as well as replication of buckets both within a cluster and across data centers. We also explore document properties such as metadata and expiration.

We round off the course by looking at some of the options available to access data in a Couchbase bucket - from querying documents using the Couchbase UI, CLI and REST API, to linking buckets to external platforms.

Once you complete this course, you will have a broad understanding of the data storage options available in Couchbase and how you can best adopt these in order to store and then access your data.

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What's inside

Syllabus

Course Overview
Getting Started with Couchbase
Creating and Configuring Buckets
Connecting to Couchbase Using Different Clients
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Builds a strong foundation for beginners
Taught by Kishan Iyer, who are recognized for their work in x
Explores document data storage and access in Couchbase, which is standard in industry y
Examines distributed architecture and data storage in Couchbase, which is highly relevant to data storage and management
Develops document storage, data replication and document retrieval, which are core skills for data management
Requires no explicit prerequisites

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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 Architect Document Storage for Couchbase 6 with these activities:
Organize and review your course materials
Ensure that you have a solid understanding of the course materials by organizing and reviewing them.
Show steps
  • Gather all of your course materials
  • Organize the materials into a logical order
  • Review the materials regularly
  • Identify any areas where you need further clarification
Review 'Designing Data Intensive Applications' by Martin Kleppmann
Reinforce your understanding of data storage concepts and best practices by reviewing the foundational text for this course.
View Secret Colors on Amazon
Show steps
  • Read Chapter 1: Introduction
  • Review key concepts: data models, data locality, and consistency
  • Summarize the different types of data storage systems
  • Identify the trade-offs between different data storage systems
Design a data storage solution for a small business
Apply your knowledge of data storage concepts by designing a solution for a real-world scenario.
Browse courses on Database Design
Show steps
  • Gather requirements from the business
  • Identify the data that needs to be stored
  • Choose a data storage system that meets the requirements
  • Design the database schema
  • Implement the data storage solution
One other activity
Expand to see all activities and additional details
Show all four activities
Write a blog post about the different types of data storage systems
Solidify your understanding of data storage concepts by explaining them to others.
Show steps
  • Research different types of data storage systems
  • Compare and contrast the different systems
  • Write a blog post summarizing your findings
  • Share your blog post with others

Career center

Learners who complete Architect Document Storage for Couchbase 6 will develop knowledge and skills that may be useful to these careers:
Database Administrator
Database Administrators (DBAs) manage and maintain databases to ensure that they are running smoothly and efficiently. They also provide support to users and developers. This course provides a comprehensive overview of Couchbase, its distributed architecture, and its data storage options. It also covers how to configure and manage Couchbase clusters. This knowledge will help you manage and maintain Couchbase databases effectively.
Database Designer
Database Designers design and develop database schemas. They work with a variety of stakeholders, including users, developers, and database administrators. This course provides a comprehensive overview of Couchbase, its data storage options, and its data modeling capabilities. It also covers how to design and implement Couchbase databases. This knowledge will help you design and develop database schemas that are efficient and scalable.
DevOps Engineer
DevOps Engineers work with developers and operations teams to ensure that software applications are delivered quickly and reliably. They work with a variety of technologies, including databases, DevOps tools, and cloud platforms. This course provides a solid foundation in Couchbase, its data storage options, and how to deploy and manage Couchbase in a DevOps environment. This knowledge will help you build and deploy software applications that are efficient, scalable, and reliable.
Software Developer
Software Developers design, build, and maintain software applications. They work with a variety of technologies, including databases. This course provides a solid foundation in Couchbase, its data storage options, and how to access data from Couchbase databases. This knowledge will help you develop software applications that are efficient and scalable.
Data Warehouse Developer
Data Warehouse Developers design and build data warehouses. They work with a variety of technologies, including databases and data integration tools. This course provides a solid foundation in Couchbase, its data storage options, and how to build and manage Couchbase data warehouses. This knowledge will help you develop and deploy data warehouses that are efficient and scalable.
Data Integration Specialist
Data Integration Specialists design and build data integration solutions. They work with a variety of technologies, including databases, data integration tools, and cloud platforms. This course provides a broad understanding of data storage options available in Couchbase. It also covers how to integrate Couchbase data with other systems. This knowledge will help you design and build data integration solutions that are efficient and scalable.
Cloud Architect
Cloud Architects design and build cloud-based solutions. They work with a variety of technologies, including databases, cloud platforms, and DevOps tools. This course provides a broad understanding of data storage options available in Couchbase. It also covers how to deploy Couchbase in the cloud. This knowledge will help you design and build cloud-based solutions that are scalable and cost-effective.
Data Scientist
Data Scientists use data to solve business problems. They work with a variety of techniques, including machine learning and data mining. This course provides a theoretical and hands-on understanding of data storage options available in Couchbase. It also covers how to access and query data from Couchbase databases. This knowledge will help you build and deploy machine learning models that are accurate and efficient.
Data Quality Analyst
Data Quality Analysts ensure that data is accurate, consistent, and complete. They work with a variety of technologies, including databases, data quality tools, and data integration tools. This course provides a solid foundation in Couchbase, its data storage options, and how to access and analyze Couchbase data. This knowledge will help you identify and fix data quality issues, and ensure that data is reliable.
Data Engineer
Data Engineers design, build, and maintain data pipelines that move data between different systems. They ensure that data is clean, consistent, and accessible for analysis. This course provides a broad understanding of the data storage options available in Couchbase. It also covers how to configure and manage Couchbase buckets, which is essential for data engineers. This knowledge will help you build and maintain data pipelines that are efficient and reliable.
Business Analyst
Business Analysts study business processes and recommend ways to improve them. They work with a variety of stakeholders, including users, developers, and managers. This course provides a broad understanding of data storage options available in Couchbase. It also covers how to analyze data from Couchbase databases. This knowledge will help you understand business processes and make recommendations that are data-driven.
Data Analyst
Data Analysts study patterns and trends in data to help companies understand their customers and make better decisions. They play an important role in various industries, including healthcare, finance, and retail. This course provides a theoretical and hands-on understanding of data storage options available in Couchbase. It covers the different ways in which document data can be stored and accessed from a Couchbase database. This knowledge will help you analyze data more efficiently and build better models.
Information Security Analyst
Information Security Analysts protect computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. They work with a variety of technologies, including databases, security tools, and network security devices. This course provides a broad understanding of data storage options available in Couchbase. It also covers how to configure and manage Couchbase security features. This knowledge will help you protect Couchbase databases from unauthorized access and ensure the confidentiality and integrity of data.
Data Governance Specialist
Data Governance Specialists develop and implement policies and procedures to ensure that data is managed in a consistent and compliant manner. They work with a variety of stakeholders, including users, developers, and business leaders. This course provides a broad understanding of data storage options available in Couchbase. It also covers how to manage and govern Couchbase data. This knowledge will help you develop and implement data governance policies and procedures that are effective and compliant.
Information Architect
Information Architects design and organize information systems to ensure that they are easy to use and understand. They work with a variety of stakeholders, including users, developers, and business analysts. This course provides a broad understanding of data storage options available in Couchbase. It also covers how to design and organize Couchbase databases. This knowledge will help you design and implement information systems that are effective and user-friendly.

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 Architect Document Storage for Couchbase 6.
Provides a comprehensive overview of deep learning. It covers the concepts and techniques of deep learning, and how to apply them to real-world problems. It valuable resource for anyone who wants to learn more about deep learning.
Provides a comprehensive overview of data-intensive applications. It covers a wide range of topics, including data modeling, data storage, and data processing. It valuable resource for developers who want to design and build data-intensive applications.
Provides an introduction to distributed systems. It covers the concepts and challenges of building and managing distributed systems. It is helpful as background or prerequisite knowledge.
Provides an introduction to data science and big data analytics. It covers the concepts and techniques of data science, and how to apply them to big data. It is helpful as background or prerequisite knowledge.
Provides an introduction to machine learning with Python. It covers the concepts and techniques of machine learning, and how to apply them to real-world problems. It is helpful as background or prerequisite knowledge.
Provides an introduction to deep learning with Python. It covers the concepts and techniques of deep learning, and how to apply them to real-world problems. It is helpful as background or prerequisite knowledge.
Provides an introduction to natural language processing with Python. It covers the concepts and techniques of natural language processing, and how to apply them to real-world problems. It is helpful as background or prerequisite knowledge.
Provides an introduction to computer vision with Python. It covers the concepts and techniques of computer vision, and how to apply them to real-world problems. It is helpful as background or prerequisite knowledge.
Provides an introduction to speech and language processing. It covers the concepts and techniques of speech and language processing, and how to apply them to real-world problems. It is helpful as background or prerequisite knowledge.

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