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the block, instead of indexing, to accelerate search. Quick response to complex aggregate queries: Suitable for complex analytical SQL queries, such as SUM, COUNT, AVG, and GROUP InfobrightValue Save design costs. No complex data warehouse model design requirements (such as star model and snowflake model), no materialized view,
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Materialized View synchronization count 1. Usage Now we need to synchronize some data in the production database to the Data Warehouse. Considering the cost and convenience, we need to regularly refresh the materialized view for data synchronization. 2. Overall Implementation ideas L create a dblink to access the remot
triggers are generally undesirable. The way I can think of is to make some changes in the business system, When the order status changes, remember a water table, can be written into the database, or can be recorded log files. Of course there are other extraction strategies, as to which strategy to take into account the source data system situation, Extracted data in the
A brief explanation of common nouns in data data Warehouse Data Warehouse in the middle of the 80 's, Mr. William H.inmon, the "Father of the warehouse", defined the concept of data war
Follow the public number: Focusbi See more articles; Add QQ Group: 808774277 Get learning materials and explore issues together. Business Intelligence Tutorial PDFLink: https://pan.baidu.com/s/1f9VdZUXztwylkOdFLbcmWw Password: 2r4vData Warehouse is the core of decision support system, it is the decision-making process for all levels of enterprise, it provides the strategic, tactical and operational collect
or external customers of enterprises often produce nonstandard data on these systems. To ensure data qualityETLWhen a large number of review steps are addedETLThe process is complicated and the performance will also decrease. ETLUse different policies in different environments and applications to balance performance and quality. Tips for Data
of the database table data into the Data Warehouse). This approach is suitable for reference types of source data, such as postal codes. Reference source data is typically the source of a dimension table. If the amount of source data
throughout this table. Other types of databases include OLAP (used for data warehouses), XML, CSV files, flat text, and even Excel spreadsheets. We ' ve actually found that many healthcare organizations use Excel spreadsheets to perform analytics (a solution so is no T scalable). A Data Warehouse is an OLAP database. An OLAP database layers on top of OLTPs
earlier versions, if you want to insert the same data into multiple tables, you have to write a stored procedure or execute multiple SQL statements. In Oracle 9i, none of these can be used. An SQL statement can solve this problem. Another noteworthy new feature is the Upset statement. It uses a statement to provide the Update and Insert functions, and executes t
algorithms. Column-based storage: No index or partition is required. Even if the data volume is huge, the query speed is fast. It is used in a data warehouse and cannot be used to process a large amount of data. You do not need to create an index to avoid the problem of maintaining indexes and indexes expanding with
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ToolUsed event, you need to execute code that generates layer-by-layer refined behavior. This process consists of four steps: (1) Use SelectByPoint or SearchAtPoint to determine the map elements clicked by the user. (2) determine the subgraph metaset that should replace the elements clicked by the user. For example, you can use one or more nested Case statements to determine which subgraph elements Replace the selected parent element. (3) extract spatial da
principles, with ms SQL Server database development experience; Familiar with data warehouse modeling theory and data OLAP related technologies, proficient in using MDX statements; At least 1 year of practical experience in data w
The index of the Data warehouse is a tricky issue. If there are too many indexes, the data is inserted quickly but the query response is slow. If too many indexes, the data import is slow and the data is more storage space, but the query responds faster. The role of indexes
enough to reflect a problem. For normal video learning, we should take it seriously and make a summary. We should not be lazy when doing this. After all, we really don't have such a good brain, multi-Summary and multi-summary. Another piece of content is also learned from Shijie. When we clear the text box, we can use a method to traverse the control: 'Declare a control dim TXT as Control' to traverse each control for each TXT in me. controls' if the control type is textbox if typeof txt is tex
In the data warehouse project, ETL is undoubtedly the most tedious, time-consuming, and unstable. If the data source and target are both oracle and meet certain conditions, you can use In the data warehouse project, ETL is undoubtedly the most tedious, time-consuming, and un
-layer data storage. This layer of data mainly uses the dimensional modeling method to establish a data model based on application requirements. Data is stored in a column-based data structure. After the data is processed, the
concepts, such as active users, VIP users and so on. The goal of this level of data model is to express business processes flexibly, to ensure data consistency, uniqueness, correctness, to keep data synchronization with the source data at the least cost, and that the data m
ETL concepts The three ETL letters represent extract, transform, and load, namely, extraction, conversion, and loading. (1) Data Extraction: extract the data required by the target data source system from the source data source system; (2) Data Conversion: Convert the
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