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During my training session at Working With CDF: Integrate » Time Series » Working with the IFSDB file I noticed that even though I pointed the Dataset to “FirstNameYearBirth-IFSDB” the data was associated with the other Dataset. The Avevasomething.. how come is that possible? Can someone help me understand what have happened? The transformation showing the correct Dataset.The Data Catalog showing that the time series and events went to the wrong data set.
Hi, I would like to understand the relationship of OSDU x OID? Are they competitors, the differ on, pros x cons.. Thanks in advance..
Hello, my name is Eber Pinto, Project Manager at EPAM, Brazil office. I am very passionate about Data and Cloud, and I'm always looking for opportunities to improve my skills and knowledge in these areas. Currently, I'm taking the Cognite Data Fusion Fundamentals course, which is my first step towards learning how to get the most out of CDF.My goal is to become a skilled data project manager, and I believe that this course is an important part of achieving that goal. I'm excited to learn about how to integrate different data sources, work with time-series data, and develop custom applications on the Cognite platform. I believe that these skills will be invaluable in my future career and will help me tackle complex data challenges.Overall, I am very enthusiastic about the possibilities in this field, and I am confident in my ability to learn and grow as a data and cloud professional.Thank you for the opportunity to share my passion and goals with you.
At the JPY Notebooks in the Hands on with Data Science Course I had a problem with the execution of the notepad and I managed to fix it by changing the attribute related to the dataframe.“Data_processing_and_analysis_for_IDA_course.ipynb”____________________________________# Plot flow rate vs pressure on a scatter plot# Instead of using plt.scatter(dps1["3695151197573416|average"],dps1["622801209626283|average"]) use the bellow line of codeplt.scatter(dps1["pi:160182|average"],dps1["pi:160697|average"])plt.xlabel('Flow rate')plt.ylabel('Pressure')__________________________________
At the JPY Notebooks in the Hands on with Data Science Course I had a problem with the execution of the notepad and I managed to fix it by changing the attribute related to the dataframe.“Data_processing_and_analysis_for_IDA_course.ipynb”____________________________________# How many timeseries are missing externalId?## Instead of len(all_timeseries_is_null[all_timeseries_is_null.externalId == True]) use the bellow sentencelen(all_timeseries_is_null[all_timeseries_is_null.unit == True])__________________________________
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