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Analysis Time series processing
Project duration: 3 months
Brief description
An energy company wants to perform analyses and implement business processes on existing time series data in InfluxDB. Its file-based application environment is to be replaced by a solution with higher performance.
Supplement
A user library is being developed for the analysis of time series data and the implementation of business processes. Suitable tools for the operation will be analysed. For the implementation (Python) Anaconda and the Python library Pandas is used. The data for the calculations are provided by InfluxDB, an open source database optimized for time series. Jupyter Notebook is used for data exploration and as collaboration tool in workshops. The operating system used is SUSE Linux Enterprise 12 Server. PTA performs the analysis of the tools and develops the user library together with the customer in workshops.
Subject description
The customer's goal is to modernize the historically grown application environment of a business unit. Parts of the business processes are to be implemented in Python and serve as a basis for automated execution. For this purpose, a development environment will be created to develop the user library. In order to independently drive future enhancements, users will be trained in the use of Pandas. Possible tools which can be used by business users are to be found.
Overview
- Industries energy
- Specialist tasks energy trade, procurement, time series management
- DV tasks IT consulting
- Procedure model iterative procedure
- Databases InfluxDB
- Development/ test tools Jupyter Notebook
- Operating systems SUSE Linux Enterprise Server 12.X
Project period01.07.2019 - 20.09.2019
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