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Is each repository in your organization like a unique pet? Do they all need specific instructions to build or test? Is the CI/CD process consistent and easy to understand? HMD Labs CTO Brian Greene will present how to handle repository demands that involve different technologies and lifecycles. He’ll also discuss how to design a flexible command-line interface (CLI) framework to make developers' workflows more efficient. Whether you're an infrastructure as code enthusiast, a Python or Java developer, or an SQL expert, source code is an essential part of your workflow. In this presentation, we’ll delve into the significance of source code structure as a primary means of communication and collaboration. Additionally, we’ll examine the plethora of tools available to aid us in working with this code. During this session, you’ll gain insights into the following considerations:

  • Design standards for repositories that support multiple technologies and teams
  • Streamlining developer actions through the use of extensible CLI wrappers
  • Establishing a controlled process for integrating new technologies into your ecosystem, and the benefits it brings to your organization

After a 30-minute talk, there’ll be a 15-minute Q&A, for which we encourage you to submit questions in advance on the dedicated Slack thread. ------------------ Speaker: Brian Greene CTO at NeuronSphere Brian Greene is CTO at NeuronSphere, which is a platform engineering toolkit focused on high-complexity data management and regulated infrastructure. Prior to building NeuronSphere Brian worked across app development, BI, MDM, EA, SOA, EDA, and APIs. He specialized in wrangling data from ERPs to surgical robots and everything inbetween for several F500 firms.

Repositories & CLIs – Code as cattle not pets

Is each repository in your organization like a unique pet? Do they all need specific instructions to build or test? Is the CI/CD process consistent and easy to understand? HMD Labs CTO Brian Greene will present how to handle repository demands that involve different technologies and lifecycles. He’ll also discuss how to design a flexible command-line interface (CLI) framework to make developers' workflows more efficient. Whether you're an infrastructure as code enthusiast, a Python or Java developer, or an SQL expert, source code is an essential part of your workflow. In this presentation, we’ll delve into the significance of source code structure as a primary means of communication and collaboration. Additionally, we’ll examine the plethora of tools available to aid us in working with this code. During this session, you’ll gain insights into the following considerations:

  • Design standards for repositories that support multiple technologies and teams
  • Streamlining developer actions through the use of extensible CLI wrappers
  • Establishing a controlled process for integrating new technologies into your ecosystem, and the benefits it brings to your organization

After a 30-minute talk, there’ll be a 15-minute Q&A, for which we encourage you to submit questions in advance on the dedicated Slack thread. ------------------ Speaker: Brian Greene CTO at NeuronSphere Brian Greene is CTO at NeuronSphere, which is a platform engineering toolkit focused on high-complexity data management and regulated infrastructure. Prior to building NeuronSphere Brian worked across app development, BI, MDM, EA, SOA, EDA, and APIs. He specialized in wrangling data from ERPs to surgical robots and everything inbetween for several F500 firms.

Repositories & CLIs – Code as cattle not pets
Joe Reis – founder @ Ternary Data , Brian Greene – guest

Brian Greene and I chat about how software and data engineering interact, the team dynamics of a startup, and much more. Brian is a no-BS straight shooter, and you'll learn a ton in this discussion.

Brian's LinkedIn: https://www.linkedin.com/in/theotherbriangreene/

Neuronphere: https://www.neuronsphere.io/

data #dataengineering #neutronsphere


If you like this show, give it a 5-star rating on your favorite podcast platform.

Purchase Fundamentals of Data Engineering at your favorite bookseller.

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