Post by account_disabled on Mar 5, 2024 7:01:39 GMT
The upload process may be impacted in some cases, even though the entire data migration project went as planned. Generally, when the load is affected it is usually due to the presence of a considerable volume of historical data that has in common the age of its origin and its low rate of use. In these cases, when defining the migration strategy, the transfer of the most recent data to the destination is established and the historical data is archived in a different area. The way to carry out this solution, in practice, involves choosing between two techniques that allow you to complete the migration process by acting in this way: Subsetting: this technique is based on filtering old information to proceed to hosting it in another area, loading only current data into the new database. Archiving: consists of hosting old information on low-cost mobile storage media, such as an external hard drive or a USB device, linking the chosen storage medium, logically, to the new database. Keys to Mitigate Risk in a Data Migration Photo credits: "Folder Search" by jscreationzs The advantages of a separate historical archive Whatever the technique used, separating historical records with a low probability of use in a different location from the most recent ones has many benefits, both for the user and for the database: - The new database may be lighter because it does not contain “heavy” historical information.
Searches will be faster Even though the new database has been free of that old content, there will always be a link that unites it to the archive and the data stored there. - For the application or database user, if you want to consult historical data (with low probability of use), the archiving will redirect the query to the chosen mobile storage, returning the historical data. Before putting any of the exposed techniques into practice, it is necessary to identify the real probability of use of old information and its frequency , given that if this is very high, it is recommended not to do subsetting or archiving so as not to penalize response time. of the user. In those cases, these data would have to be processed under identical conditions to any of the other subjects subject to migration. Data conversion in a migration process The transformation phase , the moment in which the data conversion is carried out, aims to prepare it to reach the loading Chile Mobile Number List phase in optimal conditions. It is about minimizing risk and, therefore, the execution of all the steps included in this stage is considered of critical importance. Having the necessary guarantees means avoiding: Lack of precision. Inaccuracies, gaps and duplicities. - Errors of other types. Data migration can be motivated by the merger of two companies, by the transition from an old system to a more modern one or by the beginning of an outsourcing relationship, among others.
Whatever the origin of the need, the purpose is always to be able to have the value that the data contains, in conditions of integrity, veracity and completeness , so that its usability is not harmed by the transfer but, in any case, enriched. Keys to Mitigate Risk in a Data Migration Photo credits: "Computer Network" by jscreationzs Transformation with guarantees During the transformation , manual interactions with the data should be avoided as much as possible. Automation must be prioritized, due to its objectivity, completeness and speed; and therefore, at the time of data transformation, decisions must be made that will invariably affect the entire migration and its results. In this sense, it is necessary: Act with quality guarantees Know the business rules Have the advice of the data owners. - Understand what the data requirements are at destination. However, experience in processes of this type raises other needs, which must be taken into account if this conversion stage is to be successfully completed. The aforementioned requirements refer to the way and time of carrying out the transformations. The right way to do this is by acting on real data, coming from the operating environment and doing it early. By entering conversions quickly, a valuable reference is achieved for planning subsequent stages and for control tasks. The last precision to take into account has to do with the conversion rate, which must be kept as high as possible and constantly updated, so that, through its repetitions, a minimum deviation and an ideal adjustment are achieved.
Searches will be faster Even though the new database has been free of that old content, there will always be a link that unites it to the archive and the data stored there. - For the application or database user, if you want to consult historical data (with low probability of use), the archiving will redirect the query to the chosen mobile storage, returning the historical data. Before putting any of the exposed techniques into practice, it is necessary to identify the real probability of use of old information and its frequency , given that if this is very high, it is recommended not to do subsetting or archiving so as not to penalize response time. of the user. In those cases, these data would have to be processed under identical conditions to any of the other subjects subject to migration. Data conversion in a migration process The transformation phase , the moment in which the data conversion is carried out, aims to prepare it to reach the loading Chile Mobile Number List phase in optimal conditions. It is about minimizing risk and, therefore, the execution of all the steps included in this stage is considered of critical importance. Having the necessary guarantees means avoiding: Lack of precision. Inaccuracies, gaps and duplicities. - Errors of other types. Data migration can be motivated by the merger of two companies, by the transition from an old system to a more modern one or by the beginning of an outsourcing relationship, among others.
Whatever the origin of the need, the purpose is always to be able to have the value that the data contains, in conditions of integrity, veracity and completeness , so that its usability is not harmed by the transfer but, in any case, enriched. Keys to Mitigate Risk in a Data Migration Photo credits: "Computer Network" by jscreationzs Transformation with guarantees During the transformation , manual interactions with the data should be avoided as much as possible. Automation must be prioritized, due to its objectivity, completeness and speed; and therefore, at the time of data transformation, decisions must be made that will invariably affect the entire migration and its results. In this sense, it is necessary: Act with quality guarantees Know the business rules Have the advice of the data owners. - Understand what the data requirements are at destination. However, experience in processes of this type raises other needs, which must be taken into account if this conversion stage is to be successfully completed. The aforementioned requirements refer to the way and time of carrying out the transformations. The right way to do this is by acting on real data, coming from the operating environment and doing it early. By entering conversions quickly, a valuable reference is achieved for planning subsequent stages and for control tasks. The last precision to take into account has to do with the conversion rate, which must be kept as high as possible and constantly updated, so that, through its repetitions, a minimum deviation and an ideal adjustment are achieved.