currently fully Java-based, so we can really put it in Fusion middleware and perform deep integration within a few weeks, "said Jeff Pollock, Oracle senior director of Fusion middleware.
Key features: customers and prices
Oracle said that one of the most important features of ODI is the ELT (extraction, loading, conversion) technology-not to be confused with ETL (extraction, conversion, loading) technology
Label:One of the Oracle ODI series (ODI knowledge module)About ODI The ODI (Oracle Data Integrator), formerly known as sunopsis Active integration Platform, was acquired by Oracle at the end of 2006 and renamed Oracle Data Integrator. It is primarily targeted for use in ETL and data integration scenarios. ODI has some notable features compared to Oracle's original ETL tool OWB, such as an
Enterprise Edition and Oracle GoldenGate.Oracledata Integrator Enterprise EditionOracle Data Integrator Enterprise Edition is an important part of Oracle's integration solutions, providing the best-in-class bulk data mobility and conversion technology with 10 times times higher performance than traditional ETL, enabling efficient data movement across heterogeneous systems between source and target. Improve performance while reducing the cost of data
kettle. Kettle is a foreign open source ETL tool, written in Java, can be run on Windows, Linux, UNIX, data extraction is efficient and stable. ELT is all called extraction, transformation Loading, wherein the text is interpreted as extracting, converting and loading. Kettle This tool contains SPOON,PAN,CHEF,ENCR and kitchen so five basic set up.
SPOON allows you to design the
best batch Data mobile and conversion technology with a performance of 10 times higher than traditional ETL, it can efficiently move data between source and target across heterogeneous systems, improving performance while reducing the cost of data integration. And the fastest conversion speed in the industry is created on the Oracle Exadata V2Sun Oracle database server. In addition, the hot swappable knowledge module is modular, flexible, and scalabl
? Will ETL tools be used?
What is ETL?
|
From Baidu
FunctionETL extracts data from distributed and heterogeneous data sources, such as relational data and flat data files, to a temporary middle layer for cleaning, conversion, and integration. Finally, it loads the data to a data warehouse or a data set, it is the basis for Online Analytical Processing and data mining.
Integrator Enterprise Edition is an important part of Oracle Data integration solutions. It provides the same kind of best batch Data mobile and conversion technology with a performance of 10 times higher than traditional ETL, it can efficiently move data between source and target across heterogeneous systems, improving performance while reducing the cost of data integration. And the fastest conversion speed in the industry is created on the Oracle E
According to the author's experience in the Data Warehouse ETL internship in Teradata and Main Street network, we can understand the relationship and difference between them in architecture design.
Teradata is generally the enterprise-class data Warehouse, in the Teradata Data Warehouse architecture, generally is buffer layer, model layer, market layer. As shown in the following illustration:
The source system is an Oracle database and typically has m
Kettle
Main content:
one. ETL Introduction
two. Kettle Introduction
three. Java Invoke Kettle API
first, the introduction of the ETL
1. What is ETL.
1). ETL is "Extract", "Transform", "load" three words of the acronym is also the data extraction, conversion, loading process, but our daily often referred to as the data
In the previous section, we crawled nearly 70 thousand pieces of second-hand house data using crawler tools. This section pre-processes the data, that is, the so-called ETL (extract-transform-load)
I. Necessity of ETL tools
Data cleansing is a prerequisite for data analysis. No matter how high the algorithm is, when an error data is encountered, an exception is thrown out, and it is absolutely dead. Howeve
technology that allows you to freely scale your server capacity to meet the flexibility of your enterprise architecture. In addition, RAC provides powerful reliability, recovery, error detection, and continuous operation support.
• GoldenGate-Database Synchronization expert
The GoldenGate option helps enterprise databases cope with heterogeneous complexity and heterogeneous challenges, and helps enterprises maintain superb real-time and continuous availability across heterogeneous environments.
; From ANSI Common LISP ; If you have questions or comments about this code, or you want; Something I didn't include, send mail to [email protected] ; This code is copyright 1995 by Paul Graham, but anyone who wants; To use it is free to do so. (Defun BST-remove (obj bst (If (null BST)Nil(Let (ELT (node-elt bst )))(If (eql obj elt)(Percolate BST)(If (funcall (Mak
new features will be outlined below and will be further enhanced in the next edition.
Incremental update
The new incremental update feature allows you to read IBM DB2 for z/OS®And apply these updates to the DB2 analysis accelerator to continuously update Tables within the DB2 analysis accelerator around the clock. When this feature is enabled, the Query Task enters the DB2 analysis accelerator running on the basis of near real-time version data. This feature prevents customers from reloading da
of application programs and technologies for gathering, storing, analyzing and providing access to data to help enterprise users make better business decisions. A dw is a collection of data designed to support management demo-making. according to Bill inmon, a DW is a "subject-oriented, integrated, time-variant, nonvolatile collection of data in support of demo-- making. "DWS tend to have these distinguishing features:
Use a subject-oriented dimen1_data model,
Contain publishable
For a small etl scheduling, colleagues need to return the execution status of the stored procedure and control whether the subsequent dependency is executed, I only returned the output parameters of the stored procedure in the shell script that calls and executes the stored procedure, and did not write a specific control process for everyone. If you continue development in this way, that is a small etl sche
The data loading strategy mentioned in this paper is the OLTP system as the source system, and
The general data loading strategy used by ETL data to be loaded into OLAP system.
Depending on the specific nature of this approach, the ETL data load generally has the following four kinds of parties
Case:
1. Time Stamp mode
You need to uniformly add time fields as timestamps in the business tables in the OLTP sy
correctly set. Run dbms_metadata_util.load_stylesheets with SYSDBA
[oracle@DB-Server admin]$ oerr ora 39213 39213, 00000, "Metadata processing is not available" // *Cause: The Data Pump could not use the Metadata API. Typically, // this is caused by the XSL stylesheets not being set up properly. // *Action: Connect AS SYSDBA and execute dbms_metadata_util.load_stylesheets // to reload the stylesheets.
SQL> exec dbms_metadata_util.load_stylesheets
Case 3:
The error is as follows:
Pump cannot use the Metadata API because XSL stylesheets is not correctly set. Run dbms_metadata_util.load_stylesheets with SYSDBA
[oracle@DB-Server admin]$ oerr ora 39213
39213, 00000, "Metadata processing is not available"
// *Cause: The Data Pump could not use the Metadata API. Typically,
// this is caused by the XSL stylesheets not being set up properly.
// *Action: Connect AS SYSDBA and execute dbms_metadata_util.load_stylesheets
// to reload the stylesheets.
SQL> exec db
use the metadata API because the XSL stylesheets is not set properly. Need to perform dbms_metadata_util.load_stylesheets with SYSDBA
-->
[Oracle@db-server admin]$ oerr ora 39213 39213, 00000
, "Metadata processing is not available"
//*cause:the Data Pump could not use the Metadata API. Typically,
//This are caused by the XSL stylesheets not being set up properly.
*action:connect as SYSDBA and execute dbms_metadata_util.load_stylesheets
//to reload the stylesheets.
Sql>e
(?,?,?,?,?,?,?,?,?) "; Connection conn = NULL; preparedstatement pstmt = NULL; try {conn = dbutil. getconnection (); pstmt = Conn. preparestatement (SQL); // iteratively obtains the values of each XML node and regards the data read from XML as a listfor (iterator iter = itemlist. iterator (); ITER. hasnext ();) {element ELT = (element) ITER. next (); string classno = ELT. elementtext ("classno"); string cl
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