Introduction to the outsetToday, when you load data using QV, you run into some state in the column, and the information is separated by a symbol, which is not conducive to data analysis because the content in the string is itself a dimension. Search the Internet to find a solution to the method, record.For example, in the first picture, s200,m250,r35 are all Invoice types, which need to be taken out as the dimension DIMENSION of the analysis.You can use the following code to achieve the separat
identifier for tombstone dataCreate multiset volatile table Del5. Inserting data into the temporary table in accordance with certain loading rulesINSERT INTO new6, using the data of the temporary table and the warehouse table data as a comparison of the newly changed data into the Delta tableINSERT INTO Inc Select ... from new7, the source table data has a special identification (generally end_dt=min_date) into the delete tableInsert INTO del Select. From New where end_dt=min_date8, to all in t
default, Python uses ASCII encoding as follows:Python-c "Import sys; Print sys.getdefaultencoding () "ASCIIand when Python converts between encodings, Unicode is used as an "intermediate encoding", but Unicode is the largest So long, so here when trying to put ASCII The encoded string is converted into " Intermediate Encoding the Unicode due to exceeding its range, the above error has been reported. 2. Solutions1) First: Here we will change the python default encoding mode to utf-8, we can
a description of the settings that are supported by the Runtime column extension project level, and how to create a schema file. Next will be based on years of business Intelligence project experience, virtual out of the typical RCP use scenario, step-by-step implementation of RCP in Infosphere DataStage use, give each detail, including the design of the job, each phase of the parameter settings, detailing how RCP is in the ETL to reuse Dat Astage op
The main indexes of this article series are as follows:
First, ETL sharp weapon Kettle Practical Application Analysis Series one "Kettle Use introduction"
Second, ETL sharp weapon Kettle Practical Application Analysis Series two "application Scenarios and actual combat demo Download"
Three, ETL sharp weapon Kettle Practical Application Analysis Series three "
ETL Tool Pentaho Kettle's transformation and job integration
1. Kettle
1.1. Introduction
Kettle is an open-source etl Tool written in pure java. It extracts data efficiently and stably (data migration tool ). Kettle has two types of script files: transformation and job. transformation completes basic data conversion, and job controls the entire workflow.2. Integrated Development
2.1. transformation implemen
BI Development process and ETL introduction
BI Development process1. Building Dimension-Fact model2. Build data warehouses (dimensions, facts) based on dimension-fact model3. Data extraction (ETL)4. Analysis model topics for building sales information5. Build report analysis, instrument panel
The BI Business intelligence system, according to the enterprise needs to solve the problem, helps the enterpris
Label:The collation of SQL Server is roughly divided into Windows collation and SQL Servers collation. When the data is installed, defaults to Sql_latin1_general_cp1_ci_ai are not set by default. When the database is created, if you do not set a collation that uses the default data, you can also set the collation for the columns in the table.Here are just a few things to keep in mind when you have recently encountered such problems.First Sql_latin1_general_cp1_ci_ai corresponds to 1252, while ch
One: Code section1. Create a new MAVEN project2. Add the required Java code3. Writing Mapper Class4. Writing Runner classTwo: Operation mode1. Run locally2.3.Three: local operation mode1. Unzip Hadoop to a local 2. Modify the configuration file Hadoop_home 3. Unzip the common package 4. Copy the contents of the compressed package to the bin 5. PrerequisitesThe site file for core and hbase must exist in resource 6. Uploading dataNew Catalog/eventlogs/2015/12/20Upload to Linux Uploading to H
Just finished a project to contact the ETL interface, while still warm to do a summary.ETL Interface Functional Test Point summary:1, the data volume check: The target table and the source table data volume is consistent2, the field is correct: pull the source table field is required fields (there will be a typo paragraph case)3, the field value conversion correctness: If the date or numeric field is pulled to the target table if the conversion needs
Method
Analyze and process in hive, export the results to HDFS, and then use sqoop to import HDFS results to the database.1) extraction: Oracle Data is extracted to hive. See the previous two steps.2) Conversion: insert the query result to the hive table
INSERT OVERWRITE TABLE result_etl select a.empno, a.ename, a.comm, b.dname FROM emp_etl a join dept_etl b on (a.deptno = b.deptno);
3) Conversion: import data to the HDFS File System
INSERT OVERWRITE DIRECTORY ‘RESULT_ETL_HIVE‘ SELECT * from re
Use Oracle Database 10
GInternal ETL infrastructure
Http://www.oracle.com/technology/global/cn/obe/10gr2_db_single/bidw/etl2/etl2_otn.htm
-- Some basic concepts and types of CDC are introduced in Change Data Capture (1. This article mainly demonstrates the basic steps of implementing the synchronization mode CDC through a practical example.
-- Create table
Create table SALES
(
ID
NUMBER,
Productid number,
PRICE
NUMBER,
QUANTITY
NUMBER
....);
2. Kettle jobs and conversions are continuously visible by default, regardless of whether they are finished or not. However, the jobs that are executed continuously and regularly become full after running for a period of time.
This effect is especially uncomfortable, and the persistence of such logs will also lead to JVM oom. However, some parameters are configured:
Then, it is found that the port cannot be released after the cluster runs the job. So again, we can o
Tags: sha feature ima Oracle ROCE-O technology share OSS settingsThe value mapping here is a bit like the Oracle's CAS when feature, such as a field a value of 1, but I now want to make the a=1 of a male, that is, 1 mapping into a male, this is the value mapping, then how to operate, in fact, Kettle has a "value mapping" component The following is a brief introduction to how to use;First enter the value mapping in the search box to the left of the program, find the value mapping component, and t
"Table Type" and "file or directory" two rows Figure 3: When you click Add, the table of contents will appear in the "Selected files" Figure 4: My data is in Sheet1, so Sheet1 is selected into the list Figure 5: Open the Fields tab, click "Get fields from header data", and note the correctness of the Time field format 3. Set "table output" related parameters1), double-click the "a" workspace (I'll "convert 1" to save the "table output" icon in "a") to open the Settings window. Figure 6:
Believe that in the process of ETL inevitable practical union all to assemble the data, then this involves whether the problem of parallel processing.Whether a parallel map is applicable in hive can be set by parameters:set hive.exec.parallel=trueThen it is useful for the data of the previous blog, Link: http://www.cnblogs.com/liqiu/p/4873238.htmlIf we need some data:Select from (Selectfrom where create_time="2015-10-10"9718 Select as from where 97
ETL is responsible for the distribution, heterogeneous data sources such as relational data, flat data files, such as the extraction of the temporary middle tier after the cleaning, transformation, integration, and finally loaded into the data warehouse or data mart, to become the basis of online analytical processing, data mining.
If the frequency of data conversion or not high requirements can be manually implemented
Label: DB-ETL-DW-OLAP-DM-BI Relationship Structure diagram Here are a few words about some of their concepts: (1)db/database/Database -This is the OLTP database, the online things database, used to support production, such as the supermarket trading system. DB retains the latest state of data information, only one state! For example, every morning to get up and face in the mirror, see is the state, as for the previous day of the state, will not appea
Label:DB, ETL, DW, OLAP, DM, BI relationship structure diagram Here are a few words about some of their concepts: (1)db/database/Database -This is the OLTP database, the online things database, used to support production, such as the supermarket trading system. DB retains the latest state of data information, only one state! For example, every morning to get up and face in the mirror, see is the state, as for the previous day of the state, will not
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