Git Strategic Management of Code and Data – SAS, Python, R and More – inSPyred!

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With the advent of more team diversity in skills syntax, the challenges have only increased in how to integrate new team members, code styles, code upgrades and syntax. Even if you are a single person creating and editing your own code, it’s time to Git started. This is the how to start if you don’t know how to Git started, especially if you’re working with a team. The need exists for teams to have a practical outline of elements incorporated to achieve a strategic harmony of SAS, Python, R (and more) with Git or some version control. Improve code transparency version control with useful team code review methods. On top of all that, we must manage the data we use with our code. It’s important to document a project’s key decision points during an analytics cycle. Doing so increases the accuracy of analytics results by reducing issues due to missing key code documentation. There are key differences in the way analytics teams work versus how data engineering and ETL data preparation coders work. It’s not just a syntax difference; it’s also a code cultural difference. This presentation will outline how these cultures can co-exist and identify areas where they can collaborate. It will discuss the strengths they each contribute, while still taking advantage of the common elements of code governance, documentation and code version control.

PRESENTER:
Zeke Torres, Code629
SESSION ID: 1116
TOPIC: Data Management: Data Governance
INDUSTRY: Health Care, Non-Industry Specific
AUDIENCE: Programmer, Project Manager
SKILL LEVEL: Appropriate for all levels

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