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Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console.

In this lab you will create a simple Elasticsearch deployment leveraging Google Cloud Platform.

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What's inside

Syllabus

Getting Started with Elasticsearch on Google Cloud

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Helps learners create simple Elasticsearch deployments leveraging Google Cloud Platform
Suitable for beginners interested in exploring Elasticsearch and Google Cloud Platform
Provides a practical hands-on lab environment for experimenting with Elasticsearch on Google Cloud
Taught by Google Cloud Training, recognized for their expertise in cloud computing

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Save Getting Started with Elasticsearch on Google Cloud to your list so you can find it easily later:
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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 Getting Started with Elasticsearch on Google Cloud with these activities:
Compile a glossary of Elasticsearch terms
Creating a glossary of Elasticsearch terms will provide a quick reference and improve understanding of the platform's technical vocabulary.
Show steps
  • Identify and collect relevant terms
  • Define the terms
  • Organize the glossary
Review core Elasticsearch concepts
Refreshing core Elasticsearch concepts will strengthen the foundation for understanding the platform's functionality and capabilities.
Browse courses on Elasticsearch
Show steps
  • Review documentation or online resources
  • Revisit key concepts covered in the course
Attend an Elasticsearch workshop
Attending an Elasticsearch workshop will provide insights from experts, hands-on experience, and opportunities for networking with other practitioners.
Show steps
  • Identify and register for a relevant workshop
  • Attend the workshop sessions
  • Engage in discussions and ask questions
Five other activities
Expand to see all activities and additional details
Show all eight activities
Connect with Elasticsearch professionals
Connecting with Elasticsearch professionals will allow you to learn from their experiences, ask questions, and expand your professional network.
Show steps
  • Attend industry events or meetups
  • Join online communities or forums
  • Reach out to individuals in your field
Create an Elasticsearch cluster
Creating an Elasticsearch cluster will provide hands-on experience with the deployment and configuration of Elasticsearch.
Show steps
  • Set up a Google Cloud project
  • Enable the Elasticsearch API
  • Create an Elasticsearch cluster
  • Connect to the cluster
Index and search data in Elasticsearch
Indexing and searching data in Elasticsearch will reinforce core concepts and strengthen understanding of the platform.
Show steps
  • Create an index
  • Index documents
  • Search for documents
  • Use search filters
Follow tutorials on Elasticsearch best practices
Following tutorials on Elasticsearch best practices will provide additional insights and guidance for effective use of the platform.
Show steps
  • Identify relevant tutorials
  • Follow the steps outlined in the tutorials
  • Apply the best practices to your own Elasticsearch deployment
Write a blog post or article on Elasticsearch
Writing a blog post or article on Elasticsearch will reinforce your understanding of the platform and contribute to the knowledge base of the community.
Show steps
  • Choose a topic
  • Research and gather information
  • Write and edit the content
  • Publish and promote your work

Career center

Learners who complete Getting Started with Elasticsearch on Google Cloud will develop knowledge and skills that may be useful to these careers:
Data Engineer
A Data Engineer designs and builds systems that process and manage extremely large amounts of data. They may work with Elasticsearch to design and implement data pipelines, index data, and perform data analysis. This course provides an introduction to Elasticsearch and how it can be used to build these systems.
Cloud Architect
A Cloud Architect designs, builds, and manages cloud-based solutions. This course provides an introduction to Elasticsearch on Google Cloud. It can help Cloud Architects understand how to deploy and manage Elasticsearch in the cloud.
Data Scientist
A Data Scientist uses data and statistical techniques to extract insights from data and build predictive models. This course provides an introduction to Elasticsearch, which can be used for storing and analyzing large amounts of data. This can be helpful for Data Scientists who need to ingest, store, and query large datasets.
DevOps Engineer
A DevOps Engineer combines software development with IT operations. They may work with Elasticsearch to manage and deploy software. This course may be useful for DevOps Engineers who need to learn about Elasticsearch.
Site Reliability Engineer
A Site Reliability Engineer ensures the reliability and performance of software and systems. They may work with Elasticsearch to index and analyze logs and metrics. This course may be useful for Site Reliability Engineers who need to learn about Elasticsearch.
Data Warehouse Engineer
A Data Warehouse Engineer designs and builds data warehouses. They may work with Elasticsearch to index and query data. This course may be useful for Data Warehouse Engineers who need to learn about Elasticsearch.
Data Analyst
A Data Analyst collects, analyzes, and interprets data. They may work with Elasticsearch to index and search data. This course may be useful for Data Analysts who need to learn about Elasticsearch.
Database Administrator
A Database Administrator manages and maintains databases. They may work with Elasticsearch to manage and query large datasets. This course may be useful for Database Administrators who need to learn about Elasticsearch.
Solutions Architect
A Solutions Architect designs and implements technical solutions for customers. They may work with Elasticsearch to build and deploy search solutions. This course may be useful for Solutions Architects who need to learn about Elasticsearch.
Software Developer
A Software Developer designs, develops, and maintains software applications. They may work with Elasticsearch to index and search data. This course may be useful for Software Developers who need to learn about Elasticsearch.
Network Engineer
A Network Engineer designs and maintains computer networks. They may work with Elasticsearch to monitor network traffic and identify performance issues. This course may be useful for Network Engineers who need to learn about Elasticsearch.
Storage Engineer
A Storage Engineer designs and manages storage systems. They may work with Elasticsearch to store and manage large datasets. This course may be useful for Storage Engineers who need to learn about Elasticsearch.
Information Security Analyst
An Information Security Analyst protects an organization's data and systems from cyberattacks. They may work with Elasticsearch to analyze security logs and identify threats. This course may be useful for Information Security Analysts who need to learn about Elasticsearch.
Systems Administrator
A Systems Administrator manages and maintains computer systems. They may work with Elasticsearch to deploy and manage Elasticsearch clusters. This course may be useful for Systems Administrators who need to learn about Elasticsearch.
Security Engineer
A Security Engineer designs and implements security measures to protect an organization's data and systems. They may work with Elasticsearch to analyze security logs and identify threats. This course may be useful for Security Engineers who need to learn about Elasticsearch.

Reading list

We've selected 13 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 Getting Started with Elasticsearch on Google Cloud.
Comprehensive guide to Elasticsearch, covering everything from installation and configuration to advanced querying and data analysis. It valuable resource for anyone who wants to learn more about Elasticsearch.
Comprehensive guide to scalability, covering everything from hardware and software architecture to performance tuning and load balancing. It valuable resource for anyone who wants to learn more about how to build scalable systems.
Gentle introduction to Elasticsearch. It good choice for beginners who have little or no experience with Elasticsearch.
Practical guide to DevOps, with a focus on building and operating reliable and efficient systems. It covers a wide range of topics, including culture, process, and technology. It valuable resource for anyone who wants to learn more about how to implement DevOps in their organization.
Novel that tells the story of a fictional IT team that is struggling to deliver software on time and within budget. The book valuable resource for anyone who wants to learn more about the challenges and benefits of DevOps.
Practical guide to building and operating a successful startup. It covers a wide range of topics, including product development, marketing, and sales. It valuable resource for anyone who wants to learn more about how to start and grow a successful business.
Practical guide to building and operating a successful startup. It covers a wide range of topics, including product development, marketing, and sales. It valuable resource for anyone who wants to learn more about how to start and grow a successful business.
Classic work on innovation. It explains why large companies often struggle to innovate and how startups can disrupt incumbents. It valuable resource for anyone who wants to learn more about the challenges and opportunities of innovation.
Guide to building and operating a successful startup. It covers a wide range of topics, including product development, marketing, and sales. It valuable resource for anyone who wants to learn more about how to start and grow a successful business.
Practical guide to site reliability engineering, with a focus on building and operating scalable, reliable, and efficient systems. It valuable resource for anyone who wants to learn more about how to build and operate reliable systems.
Practical guide to Docker, with a focus on real-world use cases. It covers everything from installation and configuration to advanced topics like container networking and security. It good choice for anyone who wants to learn how to use Docker to build and deploy containerized applications.
Is the official reference guide for Elasticsearch. It contains detailed information on all of the features and functionality of Elasticsearch.

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