Remove Architecture Remove Exercises Remove Google Cloud
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Fundamentals of Data Engineering

Xebia

The data engineer is also expected to create agile data architectures that evolve as new trends emerge. Building architectures that optimize performance and cost at a high level is no longer enough. They must understand both data access and security, exercising the principle of least privilege.

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New live online training courses

O'Reilly Media - Ideas

Google Cloud Platform – Professional Cloud Developer Crash Course , June 6-7. Getting Started with Google Cloud Platform , June 24. Hands-on Arista Networking Foundational Routing Topics: Learning Arista Networking Through Lab Exercises , June 28. Azure Architecture: Best Practices , June 28.

Course 73
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What’s Free At Linux Academy June 2019

Linux Academy

Google Cloud Essentials – This course is designed for those who want to learn about Google Cloud: what cloud computing is, the overall advantages Google Cloud offers, and detailed explanations of all major services – what they are, their use cases, and how to use them.

Linux 104
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219+ live online training courses opened for June and July

O'Reilly Media - Ideas

Google Cloud Platform – Professional Cloud Developer Crash Course , June 6-7. Getting Started with Google Cloud Platform , June 24. Hands-on Arista Networking Foundational Routing Topics: Learning Arista Networking Through Lab Exercises , June 28. Azure Architecture: Best Practices , June 28.

Course 56
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MLOps and DevOps: Why Data Makes It Different

O'Reilly Media - Ideas

but to reference concrete tooling used today in order to ground what could otherwise be a somewhat abstract exercise. Software Architecture. To make the data scientists maximally productive, we want to provide supporting software architecture in terms of APIs and libraries that allow them to focus on data, not on the machines.

DevOps 141
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Free Courses at Linux Academy — September 2019

Linux Academy

Our exploration will serve both as a setup exercise as well as a detailed configuration guide. Google Cloud Essentials (NEW). We discuss architectural requirements and principles of Big Data infrastructures and the intersection of cloud computing. Essentials .

Linux 18
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Matching Incident Management Roles and Responsibilities to Process

xmatters

Since 2018 we’ve made subtle but important changes to our architecture, and to how we approach deployments. First, we completed a move from our own hosted data centers to Google Cloud Platform (GCP). This gave us a more dynamic architecture which could be scaled to customer needs much faster than a traditional datacenter.