Zipper Algorithm Summary Daquan:One, 0610 algorithm (append)1, the loading date of the deleted warehouse table is the data of this load date to support the re-runDelete from xxx where Start_dt >= $tx _date;2. Create a temporary table for storing
This article describes how to synchronize data to Oracle from PostgreSQL via ODI.1. Define the physical architecture1.1 Creating a new PostgreSQL data serverTopology->physical Architecture->postgresql, right-click to select New Data Server and enter
1. What do you think is the difference between spark and Hadoop, please briefly say.
me : Hadoop is suitable for off-line analysis, batch processing, spark for real-time analysis, near real-time streaming, and micro batch processing. 2. What do
Zipper Algorithm Summary Daquan:One, 0610 algorithm (append)1, delete the loading date of the warehouse table is the data of the loading date to support the re-runningDelete from xxx where Start_dt >= $tx _date;2. Create a temporary table for
Cost:software costs include many aspects, including software products, pre-sales training, after-sales consulting, technical support and so on.The open source product itself is free, the cost is mainly training and consulting, so the cost will
This article describes how to synchronize data from MySQL to Oracle via ODI.1. Define the physical architecture1.1 Creating a new MySQL data serverTopology->physical Architecture->mysql, right-click to select New Data Server and enter the relevant
? Will ETL tools be used?
What is ETL?
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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.
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
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
method can go to Wikipedia search.The classic question is: 1. Ask the top k problem, that is, the data entry is very large, but there are duplicate entries, requiring the most frequent occurrence of several entries. 2. Look for the same entries in both piles. (or find a duplicate entry) 3. Require that duplicate entries in a pile of entries be deleted and remain unique. 4. Give a bunch of data to determine if another data is in that pile of data. 5.
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
: Images from www.lightroomsecrets.com
In his blog there is an article Getting Kanji working in Emacs
Wikipedia links
The authors of Michael Widenius–mysql and MariaDBNote : Images from www.computerweekly.com
In the clash of the DB egos, Widenius mentions: "... that's before I switched to Unix and found the best text editor in the WOR Ld:emacs "(that was before I used the Unix operating system to discover Emacs, the best te
Open-source Bi SYSTEM
Directory
Open-source Bi system Classification
Bi application tools
ETL tools
Table tools
Eclipse Birt
OLAP tools
Open source database
Open-source Bi suite
Bizgre
Openi
Pentaho
Spagobi
Open-source Bi system Classification
Bi applicatio
refer to (wrong) guiding role.This list will be updated on an irregular basis (recently updated above) and is welcome to be amended and supplemented.Note: Most of the people I cite in this list are not known for using and developing Emacs, so the more precise title of this article should be: "Well-known Emacs users who are not known for Emacs."Marijn Haverbeke–eloquent, author of JavaScript and CodemirrorNote : Images from full-frontal.org
In a discussion in Hacker news, Marijn mention
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
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