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Vitthal Srinivasan

This course is about Datastore, a schemaless, serverless NoSQL service that fills a specific niche on the GCP. Datastore offers fast lookups virtually independent of the dataset size and is optimized for hierarchical queries on document data.

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This course is about Datastore, a schemaless, serverless NoSQL service that fills a specific niche on the GCP. Datastore offers fast lookups virtually independent of the dataset size and is optimized for hierarchical queries on document data.

A suite of big data technologies is considered incomplete unless it includes a solution optimized for document-oriented data and hierarchical queries, and that can provide the blazingly fast lookup that web serving applications need to perform on such data. In this course, Architecting Schemaless Scalable NoSQL Databases Using Google Datastore, you will gain the ability to identify situations when Datastore is right for you, and query it both interactively and programmatically. First, you will learn exactly how Datastore contrasts with other GCP technologies such as BigQuery, BigTable and Firestore. Datastore is all about fast reads; Datastore only supports queries whose runtime depends only the size of the result set, and not on the size of the total data set. This is a remarkable guarantee, and it is achieved via a combination of heavy usage of indices, and of constraints on the types of queries that are supported. Next, you will discover Datastore’s unique data model, which users often find hard to navigate. Datastore organizes documents into categories called kinds; each individual document is called an entity and belongs to a kind. Finally, you will explore how to perform administrative and backup operations and work with Datastore pro-grammatically. When you’re finished with this course, you will have the skills and knowledge of Google Datastore needed to design and implement a storage solution optimized for fast querying of hierarchical, document-oriented data.

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What's inside

Syllabus

Course Overview
Understanding Cloud Datastore in the GCP Service Taxonomy
Querying and Using Cloud Datastore
Administering and Managing Cloud Datastore
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Covers the advantages and disadvantages of a schemaless, serverless NoSQL service
Focuses on document-oriented data and hierarchical queries, which are essential for many modern applications
Taught by Vitthal Srinivasan, an experienced instructor in this field
Emphasizes the unique data model of Datastore, providing valuable insights for developers
Offers a clear understanding of the limitations and constraints of Datastore, helping learners make informed decisions
Provides hands-on practice through interactive and programmatic exercises, enhancing learning

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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 Architecting Schemaless Scalable NoSQL Databases Using Google Datastore with these activities:
Review SQL querying and data storage concepts
Review the fundamentals of SQL querying and data storage to ensure a strong foundation for understanding Google Datastore.
Show steps
  • Revisit previous course materials or online tutorials on SQL
  • Practice writing basic SQL queries to retrieve and manipulate data
Complete Google Datastore Quickstart guide
Follow the official quickstart guide to gain hands-on experience with Datastore's basic operations.
Show steps
  • Visit the Google Cloud Datastore Quickstart guide
  • Follow the step-by-step instructions to create and query a Datastore entity
Explore Datastore documentation and tutorials
Delve deeper into Datastore's capabilities by exploring the official documentation and tutorials.
Show steps
  • Visit the Google Cloud Datastore documentation page
  • Read through the Datastore overview and tutorials
  • Experiment with different Datastore features and APIs
Six other activities
Expand to see all activities and additional details
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Solve Datastore practice problems
Test your understanding of Datastore concepts by solving practice problems.
Show steps
  • Find online platforms or resources that provide Datastore practice problems
  • Attempt to solve the problems on your own
  • Review and debug your solutions
Build a simple Datastore application
Apply your knowledge by creating a small-scale Datastore application that demonstrates your understanding of its key concepts.
Show steps
  • Design the schema and entities for your application
  • Implement data persistence and retrieval using Datastore APIs
  • Test and debug your application
Participate in a Datastore-related hackathon or competition
Challenge yourself and showcase your skills by participating in a competition that involves using Datastore.
Show steps
  • Find a suitable hackathon or competition
  • Form a team or work independently
  • Develop a solution using Datastore
  • Submit your project and compete for recognition
Summarize key concepts of Datastore
Consolidate your understanding by summarizing the core concepts and principles of Datastore.
Show steps
  • Review lecture notes and course materials
  • Create a mind map or outline to organize the key concepts
  • Write a summary that captures the essence of Datastore
Attend a Datastore workshop or webinar
Gain valuable insights and interact with experts by attending a workshop or webinar on Datastore.
Show steps
  • Research upcoming Datastore-related workshops or webinars
  • Register for the event
  • Actively participate in the workshop or webinar
Mentor a junior developer on Datastore
Reinforce your understanding and help others by mentoring a junior developer on Datastore.
Show steps
  • Identify a junior developer who is interested in learning about Datastore
  • Provide guidance and support on Datastore concepts and practices
  • Review their work and offer constructive feedback

Career center

Learners who complete Architecting Schemaless Scalable NoSQL Databases Using Google Datastore will develop knowledge and skills that may be useful to these careers:
Database Manager
Database Managers utilize their architectural knowledge to manage and maintain database applications. You will use this architectural know-how to balance the demands of storage, processing, and access requirements for various business units. A core part of this role is ensuring that data is accessible 24/7 which is why you will need to understand how to architect performant and fault tolerant systems. Given your background in architecture, you know that schemaless database systems can help minimize issues that a fixed schema could cause. Your architectural knowledge will also help you understand how to architect for backup and recovery solutions.
Data Warehouse Specialist
A Data Warehouse Specialist builds and manages data architectural solutions. As an experienced architect you know that today's businesses need fast access to data in order to maintain a competitive edge. Data Warehouse Specialists architect designs that ensure consistent, accurate and accessible data so that businesses can analyze and gain valuable insights from their data. As a Data Warehouse Specialist you will be able to use your understanding of architecture to design data storage solutions that optimize for flexible schema and fast read access.
Data Warehouse Analyst
A Data Warehouse Analyst designs and implements data warehouse systems. As a trained architect, you have a key advantage in this role, as you already understand how to design performant, scalable systems. In this role, you will use your knowledge to ensure that data from across the business is accessible to those who need it, when they need it. Data Warehouse Analysts must be able to work with business stakeholders to identify data needs and translate them into technical requirements. Your architectural expertise will help you to build bridges between business and IT.
Data Architect
Data Architects are responsible for designing and managing an organization's data architecture. As a Data Architect you will help organizations to make the best use of their data. You will guide business stakeholders as they work to translate business requirements into technical solutions in order to maximize the value of their data. As a trained architect, you already have a key skill in this field. You will be able to use your architectural knowledge to design data architecture that can meet current business needs while remaining flexible enough to meet future demands.
Database Designer
Database Designers develop and maintain the structure of databases that organizations use to store and manage their data. As a Database Designer you will use your know-how in architecture to ensure that databases are structured in a way that meets both current and future needs of the business. Database Designers must be able to work with business stakeholders to understand the data that the business has and the ways that the business uses their data. Your architectural knowledge will make you an asset in this role.
Business Analyst
Business Analysts are responsible for analyzing an organization's business processes and systems. As a Business Analyst, you will use what you learned about architecture to design solutions that meet business needs. You will be able to use your knowledge of data architecture to ensure that business solutions are aligned with the organization's data strategy. Business Analysts often work with IT professionals to implement solutions, so your knowledge of architecture will make you a valuable asset to them.
Data Analyst
Data Analysts use their knowledge of data to help organizations make better decisions. As a Data Analyst, you will use your understanding of architecture to translate business requirements into technical solutions. You may also be responsible for designing and implementing data collection and analysis systems. Data Analysts often work with business stakeholders to present their findings and recommendations. Your understanding of architecture will help you to clearly communicate your insights to both business and IT stakeholders.
Data Science Engineer
Data Science Engineers build and maintain the infrastructure that data scientists use to develop and deploy machine learning models. As a Data Science Engineer, you will use your understanding of architecture to design and implement data pipelines and machine learning models. You may also be responsible for managing the data science team's computing resources. Data Science Engineers often work with data scientists to help them develop and deploy their models. Your knowledge of architecture will make you a valuable asset to the data science team.
Software Engineer
Software Engineers design, develop, and maintain software applications. As a Software Engineer, you will use your knowledge of architecture to design and implement software solutions that meet business needs. You may also be responsible for managing the software development process. Software Engineers often work with business stakeholders to understand their needs and to translate those needs into technical requirements. Your understanding of architecture will make you a valuable asset to any software development team.
Data Engineer
Data Engineers build and maintain the data pipelines that organizations use to collect, store, and process data. As a Data Engineer, you will use your understanding of architecture to design and implement data pipelines that meet business needs. You may also be responsible for managing the data engineering team's computing resources. Data Engineers often work with data analysts and data scientists to help them get the data they need to do their jobs. Your knowledge of architecture will make you a valuable asset to the data engineering team.
Cloud Architect
Cloud Architects design and manage cloud computing solutions. As a Cloud Architect, you will use your understanding of architecture to design and implement cloud solutions that meet business needs. You may also be responsible for managing the cloud computing team's resources. Cloud Architects often work with business stakeholders to understand their needs and to translate those needs into technical requirements. Your understanding of architecture will make you a valuable asset to any cloud computing team.
DevOps Engineer
DevOps Engineers bridge the gap between development and operations teams. As a DevOps Engineer, you will use your understanding of architecture to design and implement DevOps solutions that meet business needs. You may also be responsible for managing the DevOps team's resources. DevOps Engineers often work with both development and operations teams to help them work together more effectively. Your understanding of architecture will make you a valuable asset to any DevOps team.
Information Security Analyst
Information Security Analysts design and implement security solutions to protect organizations from cyber attacks. As an Information Security Analyst, you will use your understanding of architecture to design and implement security solutions that meet business needs. You may also be responsible for managing the information security team's resources. Information Security Analysts often work with business stakeholders to understand their security needs and to translate those needs into technical requirements. Your understanding of architecture will make you a valuable asset to any information security team.
IT Architect
IT Architects design and manage the IT infrastructure that organizations use to support their business operations. As an IT Architect, you will use your understanding of architecture to design and implement IT solutions that meet business needs. You may also be responsible for managing the IT team's resources. IT Architects often work with business stakeholders to understand their needs and to translate those needs into technical requirements. Your understanding of architecture will make you a valuable asset to any IT team.
Network Architect
Network Architects design and manage the networks that organizations use to connect their computers and other devices. As a Network Architect, you will use your understanding of architecture to design and implement network solutions that meet business needs. You may also be responsible for managing the network team's resources. Network Architects often work with business stakeholders to understand their networking needs and to translate those needs into technical requirements. Your understanding of architecture will make you a valuable asset to any network team.

Reading list

We've selected 14 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 Architecting Schemaless Scalable NoSQL Databases Using Google Datastore.
Covers a range of distributed data management systems, such as key-value stores, document stores, wide-column stores, and graph stores, and offers advice on how to build data systems that achieve high availability, low latency, and high throughput.
Provides a comprehensive overview of the principles and techniques for designing and building data-intensive applications, including guidance on choosing the right NoSQL database for your needs.
Can be read as a pragmatic introduction to many different NoSQL systems, providing guidance on how to choose the right one for a given task. The book covers document stores, key-value stores, and wide-column stores.
Provides a comprehensive overview of Google Cloud Platform, including its different services, pricing, and best practices.
Provides a comprehensive overview of cloud computing, including its different models, technologies, and architectures.
Can be read as an introduction to different NoSQL paradigms such as document stores, key-value stores, wide-column stores, and graph stores, while covering the storage solutions that implement these paradigms.
Provides a comprehensive overview of big data analytics, including its different techniques, tools, and applications.
Provides a comprehensive introduction to databases, including their different types, data models, and query languages.
Provides a comprehensive overview of deep learning, including its different architectures, algorithms, and applications.
Provides a comprehensive overview of speech and language processing, including its different techniques, algorithms, and applications.

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