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Thank you so much for your reply! I will look out for updates in the near future!
Hello @Gaetan Helness,Thank you for your thoughtful response and for pointing me in the right direction, especially for ingesting data and asset creation. The links you shared are incredibly helpful, and I am eager to delve deeper into the SDK documentation you recommended.Your tip about using `input` in Google Colab for entering the secret at runtime is particularly useful and something I'll be implementing right away.I also appreciate your suggestion about the Cognite Academy courses. I'll make sure to check them out for more hands-on learning.Your guidance is invaluable, and I'm sincerely grateful for your help. I'll keep you posted on my progress and may reach out with further questions.Best regards,Vishnuvallabha Iyengar
Hello @HaydenH,I can't express how much I appreciate your comprehensive and detailed response. Your insights have illuminated several aspects that I was struggling with, particularly regarding time-series calculations and asset linking.The code snippets you provided are particularly helpful, and I'm excited to try them out in my project. Your recommendation about using Cognite Functions for scheduled calculations and Cognite Charts for visualization has also given me new avenues to explore.Thank you for taking the time to help me. Your expertise is invaluable, and I'm grateful for your willingness to assist. I'll be sure to reach out if I have more questions or run into further challenges.Best regards,Vishnuvallabha Iyengar
Thank you so much for the detailed and insightful response! It has greatly helped me in understanding the utility of Cognite in my project. Your point about adding metadata and description fields for easy data retrieval is well taken. I will certainly implement this in my approach to facilitate a more efficient querying process.Regarding visualization, it's clear now that I need to adapt my data into a form interpretable by Python/Pandas/NumPy to plot it, or leverage the in-built features in the Fusion browser. Your mention of the CDF's capability to pre-calculate aggregates is very helpful and adds another dimension to my approach towards data processing and analysis.Your suggestion to retrieve multiple time series objects at once to minimize the latency is excellent. The to_pandas() method will indeed be handy for data manipulation and exploration in my upcoming tasks.It's enlightening to learn from your personal experience at Cognite and how you utilize its features in the scope of
Thank you so much for this! I’ll try this out and let you know if I have any other questions!
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