and definition, to integrate into the idea of business intelligence, due to the small and medium-sized banks of data sources are not complex and data volume is not very small, can save data warehouse and other supporting software.
Three-tier architecture
The system is composed of Report Designer, report process desi
July 31, 2006, Oracle and Hewlett-Packard jointly announced that both sides have jointly developed a "reference match" to help it to accelerate the deployment of data warehouses based on HP server and storage platforms, Oracle (r) database 10g software.
The development of this set of "reference matching", can help customers from the outset to obtain their required database, server and storage of the best combination of resources. These types of matc
Several standards in the data warehouse
1. Database naming rulesAll Database programmers in a project team should abide by the unified database naming rules ". In appendix B of this book, we provide an "database naming convention" instance for your reference.2. database design paradigmWhen designing relational databases, you must follow certain rules. In particular, the database design paradigm. Next we w
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 the oracle tablespace to improve ETL efficiency.To use a tablespace, the following conditions must be met:The source and target databases must both be larger than 8i;Ø for versions
'/home/centos/customers.txt ' into table t2;//upload to hive table from local file, local is uploading file,Copying tables$mysql >create Table TT as SELECT * from users; Copy tables, carry data and table structure$mysql >create table TT like users; Copy table, carry only table structure, without datahive>create table tt as select * from users;hive>create table tt like users ;hive>select count(*) from users; //这个需要转成mr进行处理,count(*) 查询要转成mr查询hive>s
Oracle Data Warehouse creation tutorial. How to create a data warehouse, create an example, think of graduation design requirements, recently began Oracle's Warehouse modeling practice, detailed records of the graphical interface Oracle database 12C
Three types of DW application.DW is the basis of these applications.1.Information processingThe information can be processed by means of Querying,basic statiscal analysis,reporting using crosstabs,charts or graphs.2.OLAPThe data can be analysed by means of basic OLAP operations,including Slice,dice,drill down/upn and pivoting.Need to is compared with OLTP.3.DM (Data Mining)By finding the hidden patterns and
------------------------------ ---------- P1 8320 P10 8624 P2 12112 P3 11856 P4 8800 P5 7904 P6 8256 P7 8016 P8 8272 P9 7840 PMAX 256 11 rows selected.
Use Quick refresh to refresh the materialized view ACC_VIEW.
execute dbms_mview.refresh('ACC_VIEW','F')
The 'F' parameter indicates a quick refresh. But if the table does not have music video logs, does it work?
After refresh, check the segment statistics of ACCOUNTS again. The result is as follows:
SUBOBJECT_N
SAP smp-a neglected SAP data warehouse
(This is the first blog published by Xu Kun.Http://blog.xukun.com/)
It is often heard on various occasions, or even complained by customers in person.SAPBefore providingTechnical materialsIt's too tricky.N + nAfter that, I finally thought it would be more appropriate to write it down.J
I declare in advance that this article is intendedSAPUsers or partners. F
The previous article says Service Manger Management Server deployment process, the following will continue to introduce SCSM R2 another component Data Warehouse server deployment process
1, on the Service Manager installation media, double-click the "Setup.exe" file. 2. On the Service Manager installation media, double-click the "Setup.exe" file.
2. On the Product registration page, type the information
Ix. Degradation DimensionsThis section discusses a technique called a degenerate dimension. This technology reduces the number of dimensions and simplifies the dimension Data Warehouse model. Simple patterns are easier to understand than complex and have better query performance. This dimension can be degraded when there is no data required for the
Tags: sqlAzure Documentation:https://docs.azure.cn/zh-cn/#pivot =productspanel=databasesSQL Data Warehouse Documentation:https://docs.azure.cn/zh-cn/sql-data-warehouse/Learn how to use SQL Data Warehouse, which combines SQL Server
1. With the production library, data changes are captured through the CDC, and data is saved to the Data warehouse through SSIS, and now it's time to build the cube SSAS for Data statistics analysis.2. After the local environment has built many dimensional datasets, how to p
different compression methods, so that the original disk on the large amount of IO overhead and CPU compression work to achieve a better tradeoff. The compression rate is approximately 90%. In addition, Vertica's write data and read data are separated, the read data in a compressed state exists on the disk, the written data
The difference between OLAP and OLTP and what is Data Warehouse OLAP is often referred to as a data warehouse. But the data warehouse is only part of OLAP, not all. OLTP multi-index than OLAP, and the real-time requirements of hig
Objective
In the field of data warehousing, query performance is an important performance indicator for customers, whether in production systems or POC (Proof of Concept) performance tests. Good query performance lays the foundation for the efficient operation of various data warehouse applications. As for query performance, it is well known that the main perfor
I was the first time to install the orgal11g Data Warehouse, in the installation process, there are many problems. The installation process and the problem-solving solution are documented. If there is any shortage, please criticize the advice.1. Ensure that the orcal11g is installed in the system. Because of the limitations, I install both the server and the client on the local machine. The local environmen
Tags: IMA analysis lap alt report Results Store Service AssociationThe 17th Chapter Data Warehouse and on-line analysis processing technologyThere are two types of data processing tasks that are not used in computer systems: operational and analytical, also called OLTP (online transaction processing) and OLAP (Online analytical Processing)Operational processing r
the data compression algorithm in the compression than the decompression 4 times times slower. This overhead will significantly reduce the transaction efficiency of the OLTP database engine, making data compression costly and almost unbearable.
In Data warehouse applications, dat
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