Post by account_disabled on Dec 26, 2023 0:08:17 GMT -7
Aprice of these damn joins every time the customer wants to request their data Data Engineer Are you serious Do you have any idea how much duplication this would create Data Engineer Data Engineer This is madness Data Engineer Madness THIS IS DATA The rationale for adopting such an approach is quite simple. Avoiding the need to make joins means simpler queries easier to optimise and therefore better response times for the end user at the time of the request. Empirically we notice that the cost of storing the data is more than compensated by the request performance obtained and this applies even more as we can deploy a number of tips to relieve the burden of redundancy.
The column format One way to compensate for the problems of data duplication by returning to denormalised storage is by using what is called a columnoriented format. In a traditional database each record is stored in one block. The blocks follow each other but all the data for each record is in an adjoining space The MatrixThe Wachowskis Phone Number List Matrix ReloadedThe Wachowskis The Matrix RevolutionsThe Wachowskis One of the problems associated with storing in this form is that you have to read the whole line from the disk even if you want to load only part of the data. For example we are obliged to load the titles from the disk even if the only information we want to retrieve is the year of release of each film.
Reading a relatively small set of all available columns is a prototypical example of the type of requests executed by our customers in an analytical context. In a columnoriented format each column is stored separately The MatrixThe Matrix ReloadedThe Matrix Revolutions The WachowskisThe WachowskisThe Wachowskis At first glance this may not seem like a big difference but in reality this alteration changes the constraints.
The column format One way to compensate for the problems of data duplication by returning to denormalised storage is by using what is called a columnoriented format. In a traditional database each record is stored in one block. The blocks follow each other but all the data for each record is in an adjoining space The MatrixThe Wachowskis Phone Number List Matrix ReloadedThe Wachowskis The Matrix RevolutionsThe Wachowskis One of the problems associated with storing in this form is that you have to read the whole line from the disk even if you want to load only part of the data. For example we are obliged to load the titles from the disk even if the only information we want to retrieve is the year of release of each film.
Reading a relatively small set of all available columns is a prototypical example of the type of requests executed by our customers in an analytical context. In a columnoriented format each column is stored separately The MatrixThe Matrix ReloadedThe Matrix Revolutions The WachowskisThe WachowskisThe Wachowskis At first glance this may not seem like a big difference but in reality this alteration changes the constraints.