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MLOps and DevOps: Why Data Makes It Different

O'Reilly Media - Ideas

If you ask an engineer to show how they operate the application in production, they will likely show containers and operational dashboards—not unlike any other software service. ML use cases rarely dictate the master data management solution, so the ML stack needs to integrate with existing data warehouses. Software Development Layers.

DevOps 145
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How to Hire Freelance DevOps in 2023

Mobilunity

Key Skills and Responsibilities for Remote DevOps Engineer. DevOps Freelance engineers manage the delivery of new code and primarily collaborate with the IT team and developers. The Differences between AWS, Azure, and GCP Engineers. Storage AWS offers distributed, temporary (short-term) stockpiling.

DevOps 52
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The Ultimate Guide to Hiring an Offshore Java Development Team

Mobilunity

Must-Have Skills of Java-Specialized Professionals Core Java Proficiency Strong knowledge of OOP principles Experience with Java SE features Understanding of JVM internals for memory optimization Expertise in various Java-based frameworks, including Spring, Hibernate for ORM, Jakarta EE for enterprise systems, and others Web Development & APIs (..)

UI/UX 40
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The Good and the Bad of Snowflake Data Warehouse

Altexsoft

Initially built on top of the Amazon Web Services (AWS), Snowflake is also available on Google Cloud and Microsoft Azure. As such, it is considered cloud-agnostic. This optimized data is stored in one of the cloud object storage such as S3 by AWS, Google Cloud Storage, or Microsoft Azure Blob Storage.

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Data Mesh Architecture: Concept, Main Principles, and Implementation

Altexsoft

In between, there are data engineers managing the data infrastructure with ETL/ ELT processes and tools required to transform operational data into analytical ones. As the picture above clearly shows, organizations have data producers and operational data on the left side and data consumers and analytical data on the right side.

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Two Tales

LaunchDarkly

And then after a brief stint as a software engineering manager at a small startup I went on to work at Google, where I joined this new nascent team called Site Reliability Engineering, and that teams goal is to be, as a previous speaker mentioned, the master of disaster for Google.