redshift data warehouse

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Talk to me. Metadata management system in Data Warehouse _ database

Original address I. Definition of metadata According to the traditional definition, metadata (Metadata) is data about data. In the Data warehouse system, metadata can help data warehouse administrators and developers of

SQL Server Data Warehouse concepts and building process

Basic concepts: 1. Multi-dimensional dataset: a multi-dimensional dataset is the main object in Online Analytical Processing (OLAP) and a technology that allows quick access to data in a data warehouse. A multi-dimensional dataset is a collection of data. It is usually constructed from a subset of a

The construction and analysis of SQL Server Data Warehouse

server|sqlserver| data The construction and analysis of SQL Server Data Warehouse (i) Basic concepts: 1. Cubes: Cubes are the primary object in online analytical processing (OLAP) and are a technology that allows fast access to data in a data

Monitoring Data Warehouse

In general, two monitored operational components in a data warehouse environment are the use of data and data stored in the Data warehouse. Monitoring data in a

Data Warehouse logical Modeling

This article discusses two common methods in data warehouse model design. In the application environment of data warehouses, there are two types of load: one is to answer repetitive questions, and the other is to answer interactive questions. Dynamic query has obvious interactive features. This interaction process is often called

9 Characteristics comparison of large Data Warehouse

Compare | Data IBM, Oracle, Sybase, CA, NCR, Informix, Microsoft, SAS and other powerful companies have launched their own data warehousing solutions (through acquisitions or research and development). Professional software companies such as Bo and Brio also have a place in the front-end online analytical processing tools market. The following is an analysis and comparison of the performance and characteris

Multidimensional data model of Data Warehouse

Perhaps many people understand that the data warehouse is built on the basis of multidimensional data model for OLAP data platform, through the previous article-the basic architecture of the data Warehouse, we have seen that the

SQL Server Data Warehouse Construction and Analysis

Instance construction process and analysis 1Now we will analyze and discuss it with a simple example.Ms SQL ServerData warehouse construction process. In fact, the construction of the Data Warehouse is quite complex. It combines the front-end technology of the data warehouse

Introduction to the DB2 data warehouse OLAP Service

IBM DB2 Data Warehouse Edition is a set of products that combine the strengths of DB2 Data servers and the robust business intelligence infrastructure from IBM. DB2 DWE integrates Core Components for warehouse management, data conversion,

How Facebook's data warehouse expands to Pb

(Original article: ScalingtheFacebookdatawarehouseto300PB ?, This article is translated from the original article. Facebook's challenges in storage scalability in data warehouses are unique. Our Hive-based data warehouse stores more than Pb of data and is growing at a rate of TB per day. The number of

The difference between a database and a data warehouse

Tags: targe LAN causes HTTP extensions three-month partial PST calculationIn short, the database is a transaction-oriented design, the Data Warehouse is a theme-oriented design.Databases generally store online transaction data, and data warehouses typically store historical data.Database design is to avoid redundancy a

The difference between a data warehouse (a few silos) and a database

Label:In short, the database is a transaction-oriented design, the Data Warehouse is a theme-oriented design.Databases generally store online transaction data, and data warehouses typically store historical data.Database design is to avoid redundancy as far as possible, generally adopt the rule of conforming to the pat

Data Warehousing Special Topic (16)-Distributed Data Warehouse Practice Guide-Catalogue

Objective:Ready to systematize a set of distributed Data Warehouse Modeling Practice Guide, the first list of the table, is to design a goal for themselves.The first part of the basic articleChapter One concept and definition of data Warehouse1.1 Data Management System1.2 Data

My view of Data Warehouse (concept article)

Concept | Data 1. What is a data warehouse The definition of the Data warehouse is given in the book "Building the Data Warehouse" by W.h.inmon, "a

Summary of original articles on Data Warehouse in this blog

Summary of articles on Data Warehouse My data warehouse path! A series of articles on Data Warehouse dimension Processing1. series of methods to explore Data

ZT: A brief explanation of common nouns in data Warehouse

Data ZT: A brief explanation of common nouns in data Warehouse Data Warehouse in the middle of the 80 's, Mr. William H.inmon, the "Father of the warehouse", defined the concept of data

Data Warehouse Construction

Data Warehouse is a comprehensive technology and solution based on data management and application. The successful implementation of data warehouses has a significant impact on the cultivation of a culture of knowledge sharing. Currently, the data

Several problems in processing historical data in a data warehouse

The common dwh architecture is as simple as figures 2 and 3. Generally, for an enterprise, the data lifecycle is 5-7 years, especially for detailed data. The lower the data granularity level, the shorter the lifecycle, the higher the data granularity and the longer the lifecycle. For the flow account

A brief explanation of common nouns in data Warehouse

A brief explanation of common nouns in data data Warehouse Data Warehouse in the middle of the 80 's, Mr. William H.inmon, the "Father of the warehouse", defined the concept of data war

How to overcome the cloud data warehouse data migration problem?

Cloud computing and data warehousing are a reasonable couple. Cloud storage can be scaled on demand, and the cloud can contribute a large number of servers to a specific task. The common function of Data Warehouse is the local data analysis tool, which is limited by calculation and storage resources, and is limited by

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