Updating of extracted data is normally done on a periodic basis. Some data storage methods may replace old data with cumulative data. According to the needs of the application, this process may be very simple or very complicated. The load or transmitting stage aims at sending data to the receiving end, which is likely to be data storage. Sometimes one or more transformations may be critical to match the business and technical requirements of the target database. Some data sources need very little or even no data processing. For Proficy Historian, you can also extract alarms and events data, perform scaling and absolute deadband compression. The transform phase uses a series of rules or operations to retrieve pure data from the source to deliver the data in its final form for manipulation at the receiving end. Components of Historian ETL: Extract: Using this tool, you can extract time series data from Proficy Historian or PI Server. Data sources can even include external sources such as data coming from the Internet or through a scanning system. They may also include non-relational database patterns like information management systems or other data structures like virtual storage access method (VSAM) or indexed sequential access method (ISAM). Common data source structures are relational databases and pure data files. Each individual system may employ a separate data organization or format. Most data storage projects integrate data received from various source systems. The first phase of an ETL process focuses on retrieving the data from the storage source. Techopedia Explains Extract Transform Load (ETL)
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