Big data is a field that treats ways to analyze, systematically extract information from. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source.
Are you using Jupyter Notebooks with IRIS? Are you using the vscode-iris-jupyter-server VS Code extension for your notebooking? If so, please let me know either via direct message or with a comment on this post. I'd like to hear more about how our customers are working with tool specifically, and with data science more generally.
In today's landscape, enterprises have grown substantially in scale, amassing vast amounts of data. This data is collected from a plethora of sources including different applications, databases, and other channels. Given the diversity and volume of this data, it's only logical for these enterprises to seek a deeper understanding of what their data entails. Some of the data can be stored in IRIS, and it can be reasonable to be able to add this data to a data lake too.
The Internet now offers many different tools for such tasks, that do not yet support IRIS, but it's achievable.
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