how etl works in data warehouse

ETL concepts The three ETL letters represent extract, transform, and load, namely, extraction, conversion, and loading. (1) Data Extraction: extract the data required by the target data source system from the source data source sy

sales_order--columns" Order_number, Customer_number, Product_code, Order_date, Entry_date, Order_ Amount "--where" Entry_date >= Date_add (current_date (), Interval-1 Day) and Entry_date 3) Add a piece of data to the source libraryINSERT into Source.sales_order values (Null,7,3,date_add (Current_date (), Interval-1 Day), Date_add (Current_date (), Interval-1 day), 10000); commit;4) Perform sqoop operationsSqoop Job--exec myjob_15) query in the RDS Li

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 In the data warehouse project,

coordination jobsHDFs dfs-put-f coordinator.xml/user/root/(4) Run the coordination jobOozie Job-oozie Http://cdh2:11000/oozie-config/root/job-coord.properties-runFrom the Oozie Web console, you can see the coordinated jobs ready to run, with the status of Prep as shown in.This coordination job starts on July 11, 2016 and executes 14 points per day. The end date is very late, which is set for December 31, 2020. Be aware of the time zone settings. Oozie The default time zone is UTC and does not 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 conditi

As a data warehouse system, ETL is a key link. If it is big, ETL is a data integration solution. If it is small, it is a tool for data dumping. Recall that there have been a lot of data

ETL: Abbreviation of extraction-transformation-loading. The Chinese name is data.Extract, convert, and load data. ETL extracts data from distributed and heterogeneous data sources, such as relational data and flat

During database management, extraction, conversion, and loading (ETL, extract, transform, and load) are three independent functions that constitute a simple editing task. First, read the data in the specified source database and extract the required sub-dataset. Then, the conversion function uses rules or drop-down lists to process the acquired data or create con

This article outlines the general process of using OWB to create a data warehouse. Oracle's OWB is one of the three most current ETL products. OWB can not only complete data extraction, conversion and loading, but also help users create ROLAP (relational online analysis Process) and MOLAP (multidimensional online) in O

The data increment extraction mechanism in ETL( Incremental extraction is an important consideration in the implementation of Data Warehouse ETL (extraction,transformation,loading, data extraction

ETL technical support work are briefly described. After the Data Warehouse is on-line, the ETL group needs to provide technical support for the normal operation of the ETL work. Typically, this technical support work is divided into four levels. 1. The first level of techni

unification of customer information from various internal and external application segmentation, which is the basic task of Analytical CRM. 1 shows the architecture of Analytical CRM. Among them, the customer information data warehouse is the core of analyticcrm. Its task is to extract data from the OLTP system and convert the extracted

ETL is the process that the data of the business system is loaded into the data warehouse after being extracted and cleaned, the aim is to integrate the scattered, messy and standard data in the enterprise to provide the analysis basis for the decision of the enterprise.

0x00 Preface The following content, is the author in the study and work of some summary, of which the concept of most of the content from the book, the practical content mostly from their own work and personal understanding. Due to the lack of qualifications, there will inevitably be many mistakes, I hope to criticize. Overview The Data warehouse contains a lot of content, which can include architecture, m

ETL is responsible for the scattered, heterogeneous data sources such as relational data, flat data files, such as the extraction of the temporary middle layer after the cleaning, transformation, integration, and finally loaded into the data

ETL is a process of extracting, cleaning, and transforming data from a business system and loading it into a data warehouse. It aims to integrate scattered, disorderly, and standardized data in an enterprise, providing analysis basis for enterprise decision-makingETLYesBiThe

Tags: OLAP online analytics for Data warehouse applicationsRelated articles:Data Warehouse Application (i): Data Warehouse model designData Warehouse Application (ii): Data extraction,