elt data warehouse

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

MySQL big data warehouse receiving (single table) bitsCN.com MySQL big data warehouse receiving (single table) Recently, I have been studying data warehouse receiving. for the INSERT command, a small amount of

Prior to the deployment of the company BI Project example, found that the database tables are not set the primary key, foreign keys, has been thought to be a simulation project, the reason for not rigorous requirements. Today we know that the Data Warehouse is not designed for primary and foreign keys. These constraints should be done when ETL is programmed to ensure that all

Recently, a friend asked, what are the difficulties in data warehouse development? After several years of development, we talked about data warehouses.TechnologyI personally don't think it is difficult to query and process large amounts of data and ETL processes in a data

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

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

SQL ServerCategory 4Data warehouse modelingMethods are mainly divided into the following four types. The first type is the three-paradigm modeling of relational databases. We usually use the three-paradigm modeling method to build various types of operational database systems. The second category is the three-paradigm data warehouse modeling promoted by inmon,

Impala Catalog Server Cdh2 Impala Daemon Cdh1 Cdh3 Cdh4 Impala Statestore Cdh2 Oozie Oozie Server Cdh2 Sqoop 2 Sqoop 2 Server Cdh2 YARN Jobhistory Server Cdh2 NodeManager Cdh1 Cdh3 Cdh4 ResourceManager Cdh2 CDH's official Installation documentation URL address is:Http://www.c

Data Warehouse components: Subject Presentation: Support: 1. product-based Metadata Management Center 2. product-based Data Quality Control Platform 3. the support behind excellent scheduling and job monitoring tools is the cornerstone of entity presentation. Data Warehouse

Demo source code Background I wanted to talk about the background of this article, and later I found that the native word is poor. Therefore, in this topic, we use delegation to implement a global data cache warehouse. This class Library receives four parameters: 1. the Data Type of the data to be stored; 2. the method

In order to set up the Data warehouse in the SS function, there is some controversy in the team. The main focus is on why to provide this function, in the end there is no need for such issues, but ultimately this function is still on. Believe that the initial users will have the same question, I would like to introduce some of the use of data warehousing, but als

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