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The practice of data Warehouse based on Hadoop ecosystem--etl (i)

pushes the data from the data source. If the data source is protected and is forbidden, you can only use the data source to push the data.The following table summarizes the source data tables and their extraction modes used by the dimension and fact tables in this example. Time stamp Mode Snapshot mode Trigger mode Log mode Ability to differentiate inserts/updates Whether Is Is Is Multiple updates detected during

The practice of data Warehouse based on Hadoop ecosystem--etl (iii)

Sqoop, which requires the Sqoop metadata shared storage to be turned on as follows:Sqoop metastore >/tmp/sqoop_metastore.log 2>1 For questions about Oozie not running Sqoop job, refer to the following link: http://www.lamborryan.com/oozie-sqoop-fail/(4) Connecting Metastore rebuilding Sqoop JobThe Sqoop job created earlier, whose metadata is not stored in the share Metastore, needs to be rebuilt using the following command.Sqoop Job--show Myjob_incremental_import | grep incremental.last.valuesq

Introduction to extraction, conversion and loading (vii) managing the ETL environment (to be continued)

One of the goals of the data warehouse is the ability to provide timely, consistent, and reliable data for enhanced business functions.In order to achieve the above objectives, ETL must be continuously improved according to the following three standards: Reliability Availability of Ease of management Subsystem 22--Job Schedulersubsystem 23--Backup Systemsubsystem 24--Recovery and restart systemsubsystem 25--version control systemSubsyste

ETL Incremental Processing Summary

1 Log Table 1.1 ideasA log table is used to record the primary key of a table Yw_tablea the changed data in the Business library. Before the data enters the BI Library target table Bi_tablea, delete is based on the primary key recorded by the log table.1.2 Design 1.2.1 Log table structureCREATE TABLE LOG ( varchar), -- primary key 1 VARCHAR(20 ), - - primary key 2 VARCHAR, - - source table updatedate Date, -- update date loaddate- - Load Date );1.2.2

DB, ETL, DW, OLAP, DM, BI relationship structure diagram

Tags: commercial int ase NSF process form color number BottomHere 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 appear in front of your eyes, this is a db.(2)dw/d

ETL Hivesql Tuning (the location of the left join where)

Tags: sel note Select avoid IMG int Data Warehouse Problem toolbarFirst, prefaceThe company practical Hadoop constructs the Data warehouse, during the inevitable practical hivesql, in the ETL process, the speed has become the question which avoids can avoid. I have a few data tables associated with running 1 hours of experience, you may feel indifferent, but many times ETL will be multiple hours, very waste

Import and export of ETL tools-kettle data-database to database

Tags: Options import profile preparation Query str user Lin marginIntroduction to ETL: ETL (extract-transform-load abbreviation, that is, the process of data extraction, transformation, loading) Database to Database The following explains: Kettle Tool Implementation method Case Purpose : Import the EMP table from user Scott under User testuser. Preparation: first create a new table with the same structure a

Introduction to ETL

1, the definition of ETLETL is "Extract"," Transform","Load" the initials of three words namely "extract "," Conversion "," Loading ", but we are often referred to as the daily data extraction. ETL is the core and soul of BI/DW (Business intelligence/Data Warehouse), integrating and improving the value of data according to the unified Rules , is responsible for the completion of data from the data source to the target data Warehouse conversion proces

ETL Interview FAQ

required to handle the second type of modification Mini Dimension (minidimension): Extract a few fields from a common large dimension to form a small field dimension that can be used in a query with a field in a mini dimension This design significantly improves query efficiency type of fact: Granularity fact table (additive Fact) Cycle Snapshot fact table (semi-additive Fact) Aggregation Snapshot fact table (non-additive Fact) Non-factual fact table (factless Fact table) Granularity fact table

Open source Job scheduling tool to realize open-source datax, Sqoop, Kettle and other ETL tools job batch Automation scheduling

1, Ali Open source software: datax Datax is a heterogeneous data source offline Synchronization tool that is dedicated to achieving stable and efficient data synchronization between heterogeneous data sources including relational databases (MySQL, Oracle, etc.), HDFS, Hive, ODPS, HBase, FTP, and more. (Excerpt from Wikipedia) 2. Apache Open source software: Sqoop Sqoop (pronunciation: skup) is an open source tool that is used primarily in Hadoop (Hive) and traditional databases (MySQL, PostgreSQ

ETL Tools Daquan, you know how much

These years, almost all work with ETL, have been exposed to a variety of ETL tools. These tools are now organized to share with you. An ETL Tool Foreign 1. DataStage Reviews: The most professional ETL tools, expensive, the use of the general difficulty Download Address: Ftp://ftp.seu.edu.cn/Pub/Develop ... tastag

"Issue 1th" Install Linux Server (DB host and ETL host)

operating system.There are many versions of Linux, and I chose to develop my personal BI system based on this stable version:Red Hat Enterprise Linux Server release 6.4 (Santiago) 3. Bi System host InformationTo do this, after selecting the operating system, come down to install the server. I chose a VMware virtual machine to install the Linux server. Here, the installation of VMware virtual machines has a lot of relevant articles on the network, I will not repeat. Interested partners can

BI & ETL & OLTP concepts

caused by abuse.Acronyms, idioms, data input errors, repeated records, lost values, and spelling changes. Even if there is a large amount of noise data in a well-designed and well-planned database system, this system will alsoIt makes no sense, because "garbage in, garbage out" (garbage in, garbageThe system cannot provide any support for the decision analysis system. To clear noise data, data must be cleaned in the database system. At present, there are a lot of research on data cleansing and

Application of Oracle tablespace in data warehouse ETL

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 earlier than 10 Gb, the source and target da

ETL Tool and kettle implement Loop

Kettle is an open-source ETL Tool written in Java. It can be run on Windows, Linux, and Unix. It does not need to be installed green, and data extraction is efficient and stable. Business Model: there is a large table in a relational database, which is designed as a parity database storage. Each database has 100 identical tables, each table stores 1000 million data records, and the fields are switched to the next table. This data needs to be synchron

ETL learning 5: creating a new integration services project

the "flat file Connection Manager Editor" dialog box, type sample flat file source data. Click Browse ". In the open dialog box, browse and find the sample data folder, and then open the samplecurrencydata.txt file. By default, the sample data of the tutorial is installed in the c: \ Program Files \ Microsoft SQL Server \ 90 \ samples \ integration services \ tutorial \ creating a simple ETL package

A Java ETL Tool project: jmyetl is launched on Google Code.

In the past, we used the underlying C-API of each database as wrapping to realize the function of data import and export between several heterogeneous databases. However, the code is complex and it is inconvenient to open source. In the afternoon, a simple data extraction program was written in Java to port the MySQL database to Sybase ASE. Put it open-source, put it on: http://code.google.com/p/jmyetl/ top. I originally named myetl, and someone applied for it on sf.net. Then I added a J to it.

ETL scheduling development (4) -- file subroutine loading through FTP

ETL scheduling development (4) -- file subroutine loading through FTP The most basic function of the ETL tool is to load files on the remote server. The following applet obtains files on the remote server in binary mode: #! /Usr/bin/bash # created by lubinsu #2014 source ~ /. Bash_profilefilename = $6 srcdir = $4 descdir = $5 ftpip = $1 ftpusr = $2 ftppwd = $3 # get filesftp-I-in The input parameters

Learn SQL Server Bi--etl design step by step

In this section, we mainly talk about my game transaction Data Analysis Project ETL (data extraction, loading, conversion) exactly how to do. First of all, the next source system, because our main trading station server is not in the company, so can not directly from the source system directly extracted data. In fact, we already have a simple data analysis system, but this is the previous people do, not using sqlserver2005 bi platform to do, but dire

A simple use of ETL tools kettle

The kettle of ETL tools extracts data from one database into another database: 1. Open the ETL folder, double-click Spoon.bat start Kettle 2. Resource pool selection, Connaught no choice to cancel 3. Select Close 4. Create a new transformation 5. Configure the required database 6. The data table that needs to be extracted, with the table input to get 7. Select the database and table

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