etl classes

receive data from various heterogeneous data sources. After processing, they are delivered to different target data.Although these classes seem to be different and different, especially in Bi projects, in the face of massive data ETL, the two options start. In the selection process, the development efficiency, maintenance, performance, learning curve, personnel skills, and other factors must be taken into

Introduction to ETL technology: Introduction to ETL, data warehouse, and etl Data WarehouseETL is the abbreviation of Extract-Transform-Load. It is used to describe the process of extracting, transforming, and loading data from the source to the target. ETL is commonly used in data warehouses, but its objects are not l

ETL TL, short for extraction-transformation-loading. The Chinese name is data extraction, conversion, and loading. ETL tools include: owb (Oracle warehouse builder), Odi (Oracle data integrator), informatic powercenter, aicloudetl, datastage, repository explorer, beeload, kettle, dataspider ETL extracts data from distributed and heterogeneous data sources, suc

called a data hub . As the name implies, he works like a hub. The classification of this type and the above categories in the standard differences, above three more refers to the ETL implementation method, which mainly from the data processing angle. At present, some products belong to EAI (Enterprise application integration), its data integration is a quasi-real-time nature. So this kind of product is like hub, continuously receives the data of hete

ETL scheduling development (1) -- writing instructions, etl Scheduling Preface: During database operation and maintenance, files are often transferred between systems to perform operations such as data extraction, conversion, and integration. In addition, statistical scheduling is performed after data integration. Here, I will describe an ETL scheduling developed

ETL scheduling development (5) -- connect to the database to execute database command subroutines and etl Scheduling In ETL scheduling, you need to connect to the database to read and write data. The following subprograms use the input database connection string and database commands (or SQL) to perform the required operations: #!/usr/bin/bash#created by lubinsu

The main indexes of this series of articles are as follows: I. ETL Tool kettle Application Analysis Series I [Kettle Introduction] Ii. ETL Tool kettle Practical Application Analysis Series 2 [application scenarios and demo downloads] Iii. ETL Tool kettle Practical Application Analysis Series III [ETL background process

ETL (extract-transform-load abbreviation, that is, data extraction, transformation, loading process), for enterprise or industry applications, we often encounter a variety of data processing, conversion, migration, so understand and master the use of an ETL tool, essential, Here I introduce a I used in the work of 3 years of ETL tools kettle, the spirit of good t

Etl tool, kettle implementation loop, etl Tool kettle implementation 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 data storage table in the relational database, which is designed as a parity datab

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 connections with other data, so that it can be converted to the desired state. Finally, we us

Reprinted ETL architect interview questions 1. What is a logical data mapping and what does it mean to the ETL team? What is Logical Data ing? What role does it play on the ETL project team? A: Logical Data Map) describes the data definition of the source system, the model of the target data warehouse, and instructions on operations and processing methods to conv

For the Data warehouse and ETL knowledge, I am basically a layman. Everything has to start from scratch, take a note, to facilitate the understanding of learning progress.First, let's take a look at the basic definition:Well, some people also called the ETL simple data extraction. At least before the study, the leader told me that you need to do a data extraction tool.In fact, extraction is the key part of

Introduction: Etl,extraction-transformation-loading's abbreviation, the process of data extraction (Extract), Transformation (Transform), loading (load), is an important part of building a data warehouse.Keywords: ETL Data Warehouse OLTP OLAPThe etl,extraction-transformation-loading abbreviation, the process of data extraction (Extract), Transformation (Transform

the core of the ETL pipeline is the dynamic assembly of LINQ.One of the most basic ETL management classes, should have the following attributes:Public observablecollectionProtected listAnd a method:Public ienumerableThen, the implementation of this function can be defined as follows: PublicIenumerabledocuts) { if(Samplemount 0) {Samplemount=Ten; } I

BI Architecture-bi Key Links ETL related knowledge Main function: Load the data of the source system into the Data Warehouse and data mart layer; The main problem is the complex source data environment, including a wide variety of data types, huge load data volumes, intricate data relationships, and uneven data quality common terminology etl: Data extraction, conversion, loading (extract/ Transform/l

Assembly Area Preparing data, often also called data management, refers to acquiring data and translating it into information, and ultimately submitting that information to the front-end query interface. The background does not provide query services, the Data Warehouse methodology assumes that data access in the background is strictly forbidden, which is the sole purpose of the foreground. The backend part of the data warehouse is often referred to as the staging area (Stagingarea). Data aggreg

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 data files, to a temporary middle layer for cleaning, conversion, integration, and finally loading data to a data warehouse or data warehouse.Data mart has become the basis for Online Analytical P

1. Introduction to LinuxLinux such an operating system should not be unfamiliar to everyone, because it is the current background server is one of the mainstream operating system. Linux originates from POSIX and UNIX-based multi-user, multitasking, and multi-CPU operating systems.There is more to the description of Linux than I can say. The following is from the "Baidu Encyclopedia" entry: Linux is a free-to-use and free-spread UNIX-like operating system, is a POSIX and Unix-based multiuser, mul

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, transformation and loading). In ETL process, the efficiency and feasibility of incremental updating is one of the key problems of

Because both of them are used, informatica is easy to manage in the future, especially for data correction. when data is supplemented in the later stage, the data stream is clear at a glance.SQL is efficient, but it is inconvenient to maintain it later. It takes a long time to find a data stream ..ETL tools are easier to manage and maintain, especially complicated cleaning processes. ETL too