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SingleStore on Google Cloud

Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console. Learn how to deploy SingleStore DB, combine it with cloud native products like Pub/Sub, Dataflow and Cloud Storage, and interact with SingleStore once the data is ingested.

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What's inside

Syllabus

SingleStore on Google Cloud

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Examines SingleStore DB, a leading in-memory database that offers high performance and scalability
Develops core skills in deploying SingleStore DB on Google Cloud, a leading cloud computing platform
Provides hands-on labs and interactive materials, allowing learners to apply their knowledge practically
Teaches how to integrate SingleStore DB with cloud native products, expanding its functionality and applications
Requires no prior experience with SingleStore DB, making it accessible to beginners
Taught by Google Cloud Training, a reputable provider of cloud computing education

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Activities

Coming soon We're preparing activities for SingleStore on Google Cloud. These are activities you can do either before, during, or after a course.

Career center

Learners who complete SingleStore on Google Cloud will develop knowledge and skills that may be useful to these careers:
Database Administrator
Database Administrators are responsible for managing and maintaining databases. The SingleStore on Google Cloud course can help you build a foundation in database administration by teaching you how to deploy, configure, and manage SingleStore DB. This course will also teach you how to use cloud native products like Pub/Sub, Dataflow and Cloud Storage to manage your databases.
DevOps Engineer
DevOps Engineers are responsible for bridging the gap between development and operations teams. The SingleStore on Google Cloud course can help you build a foundation in DevOps by teaching you how to deploy, manage, and monitor SingleStore DB. This course will also teach you how to use cloud native products like Pub/Sub, Dataflow and Cloud Storage to build and manage your DevOps pipelines.
Software Architect
Software Architects are responsible for designing and building software systems. The SingleStore on Google Cloud course can help you build a foundation in software architecture by teaching you how to use SingleStore DB to design and build scalable and reliable systems. This course will also teach you how to use cloud native products like Pub/Sub, Dataflow and Cloud Storage to build and manage your software systems.
Solutions Architect
Solutions Architects are responsible for designing and implementing software solutions. The SingleStore on Google Cloud course can help you build a foundation in solutions architecture by teaching you how to use SingleStore DB to design and implement scalable and reliable solutions. This course will also teach you how to use cloud native products like Pub/Sub, Dataflow and Cloud Storage to build and manage your software solutions.
Cloud Architect
As a Cloud Architect, you will be responsible for designing, building, and managing cloud-based solutions. The SingleStore on Google Cloud course can provide you with the necessary skills and knowledge to succeed in this role. This course will help you understand how to deploy SingleStore DB, combine it with cloud native products like Pub/Sub, Dataflow and Cloud Storage, and interact with SingleStore once the data is ingested.
Data Engineer
Data Engineers are responsible for designing, building, and maintaining data pipelines. The SingleStore on Google Cloud course can help you build a foundation in data engineering by teaching you how to use SingleStore DB to ingest, process, and store data. This course will also teach you how to use cloud native products like Pub/Sub, Dataflow and Cloud Storage to build data pipelines.
Quality Assurance Engineer
Quality Assurance Engineers are responsible for testing and verifying the quality of software. The SingleStore on Google Cloud course can help you build a foundation in quality assurance by teaching you how to use SingleStore DB to store and manage test data. This course will also teach you how to use cloud native products like Pub/Sub, Dataflow and Cloud Storage to build and manage your test pipelines.
Release Manager
Release Managers are responsible for planning and executing software releases. The SingleStore on Google Cloud course can help you build a foundation in release management by teaching you how to use SingleStore DB to store and manage release data. This course will also teach you how to use cloud native products like Pub/Sub, Dataflow and Cloud Storage to build and manage your release pipelines.
Project Manager
Project Managers are responsible for planning, executing, and closing projects. The SingleStore on Google Cloud course can help you build a foundation in project management by teaching you how to use SingleStore DB to store and manage project data. This course will also teach you how to use cloud native products like Pub/Sub, Dataflow and Cloud Storage to build and manage your projects.
Technical Account Manager
Technical Account Managers are responsible for managing relationships with customers. The SingleStore on Google Cloud course can help you build a foundation in technical account management by teaching you how to use SingleStore DB to store and manage customer data. This course will also teach you how to use cloud native products like Pub/Sub, Dataflow and Cloud Storage to build and manage your customer relationships.
Data Scientist
Data Scientists are responsible for using data to solve business problems. The SingleStore on Google Cloud course can help you build a foundation in data science by teaching you how to use SingleStore DB to explore and analyze data. This course will also teach you how to use cloud native products like Pub/Sub, Dataflow and Cloud Storage to build data science pipelines.
Machine Learning Engineer
Machine Learning Engineers are responsible for building and deploying machine learning models. The SingleStore on Google Cloud course can help you build a foundation in machine learning by teaching you how to use SingleStore DB to store and manage machine learning data. This course will also teach you how to use cloud native products like Pub/Sub, Dataflow and Cloud Storage to build and deploy machine learning models.
Product Manager
Product Managers are responsible for defining and managing the roadmap for a product. The SingleStore on Google Cloud course can help you build a foundation in product management by teaching you how to use SingleStore DB to store and manage product data. This course will also teach you how to use cloud native products like Pub/Sub, Dataflow and Cloud Storage to build and manage your product roadmap.
Technical Support Engineer
Technical Support Engineers are responsible for providing technical support to customers. The SingleStore on Google Cloud course can help you build a foundation in technical support by teaching you how to use SingleStore DB to troubleshoot and resolve customer issues. This course will also teach you how to use cloud native products like Pub/Sub, Dataflow and Cloud Storage to build and manage your technical support pipelines.
Sales Engineer
Sales Engineers are responsible for selling and supporting software products. The SingleStore on Google Cloud course can help you build a foundation in sales engineering by teaching you how to use SingleStore DB to store and manage sales data. This course will also teach you how to use cloud native products like Pub/Sub, Dataflow and Cloud Storage to build and manage your sales pipelines.

Reading list

We've selected 12 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 SingleStore on Google Cloud.
Covers advanced MySQL topics like optimization, replication, backups, and high availability. Provides real-world examples and case studies, making it a valuable resource for DBAs and developers working with MySQL.
Covers the principles and patterns for designing and building scalable and reliable data-intensive applications. Provides insights into distributed systems, data consistency, and scalability.
Covers machine learning concepts, algorithms, and tools. Provides hands-on experience with popular libraries like Scikit-Learn, Keras, and TensorFlow. Suitable for beginners and intermediate learners.
Provides a comprehensive overview of pattern recognition and machine learning algorithms. Covers statistical models, Bayesian inference, and kernel methods. Suitable for those interested in building robust and accurate machine learning models.
Provides a practical guide to building and training deep learning models using Python. Covers model architecture, optimization techniques, and evaluation metrics. Suitable for those with some programming experience.
Covers the fundamental concepts and algorithms of statistical learning. Provides a comprehensive overview of the field, including supervised and unsupervised learning, model selection, and regularization.
Provides a comprehensive overview of computer vision algorithms and techniques. Covers image processing, feature extraction, object detection, and image classification. Suitable for those interested in building computer vision systems.
Provides a comprehensive overview of information retrieval concepts and techniques. Covers text indexing, ranking algorithms, and evaluation metrics. Suitable for those interested in building search engines and recommender systems.
Provides a foundation in data analytics concepts and techniques. Covers data collection, cleaning, analysis, and visualization. Useful for beginners or those looking to refresh their knowledge.
Provides an introduction to generative adversarial networks (GANs), a type of deep learning model used to generate new data. Covers GAN architectures, training techniques, and applications.
Covers the fundamental concepts and algorithms of speech and language processing. Provides a comprehensive overview of the field, including speech recognition, natural language understanding, and dialogue systems.
Covers the fundamental concepts and algorithms of reinforcement learning. Provides a comprehensive overview of the field, including exploration, exploitation, and value function approximation.

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