unstructured data warehouse

Microsoft vs. Yahoo! The long-running purchase war may put many people tired of news. But today we see this about Yahoo! The technical news is worth reading: Size matters: yahoo claims 2-petabyte database is World's biggest, busiest. Yahoo! VP Waqar Hasan of disclosure Yahoo! The current data warehouse capacity is 2 Pb. It is used to analyze 0.5 billion of user access behavior every month and process 24 bil

The life cycle approach provides a roadmap for the development of data warehouses, and the overall structure and steps of the life cycle approach are Define Business requirements Technical path Technical Architecture Design Selection and installation of products Data path Dimension modeling Physical design ETL Design and development Bi app Path

PHP-based simple collection data warehouse receiving program [continued], php collection warehouse receiving sequel In the previous article, we have collected the list data on the news page. The next step is to read the URL to be collected from the database and capture the page. Create a content table However, you must

Brief introduction Data integration is a key concept in the Data warehouse. The design and implementation of the ETL (data extraction, transformation and loading) process is an extremely important part of the Data Warehouse solut

Introduction:The main content of this article is not to introduce some data models of the existing popular main industries, but to share some of my experiences in data warehouse construction projects. We hope to help you summarize a set of methods that meet the current industry standards and meet the data

Before you start About this series This tutorial series Informix Warehouse Feature introduces the features and features of the new client and server Software in Informix Warehouse. You can use these tools to create and deploy data Warehouse projects, to model databases on the Informix

Tags: ash t-SQL query _id important SSD round mode for copy tableWindows Azure Platform Family of articles Catalog　　In the previous article, I introduced the basic content of the MPP architectureIn this chapter, I introduce you to the architecture of Azure SQL Data Warehouse (SQL DW).　　　The 1.SQL DW is divided into head node and work node, denoted by control node and compute node　　SQL DW uses multiple work

The following is an excerpt from the Internet and collated.Noun:BI (Business Intelligence): Commercial Intelligence,DW (Data Warehouse): Warehouse, see the Text Q1 section.OLTP (on-line Transaction processing): Online transaction processingAlso known as the transaction-oriented processing system, its basic characteristic is that the customer's raw

The following content is taken from the Internet and sorted out. Terms: Bi (Business Intelligence): Business Intelligence, DW (data warehouse): Data Warehouse. For details, see section Q1. OLTP (on-line transaction processing): Online Transaction Processing It is also known as a transaction-oriented processing syste

Discussion on data modeling methods in data warehouse construction The main content of this article is not to introduce some data models of the existing popular main industries, but to share some of my experiences in

Data Warehouse Introduction Definition:A data warehouse is a structured data environment that supports decision-making and online analysis of application data sources. The data

makefile is required to minimize conversion before it is loaded into the HDFs file system or hive Data Warehouse, you can load the file directly. After determining the target table and the split specification, Hive has a command to load the data. Pig is a high-level language for data analysis programs, especially when

system, the data in the Data Warehouse has the following characteristics: 3.1.1 Theme-oriented Theme-oriented is one of the most important features of data warehousing. The traditional data is application oriented, data and app

Development and implementation of the business intelligence platform for Small and Medium Enterprises (data warehouse, Bi system, and real project practices)Course category: data and data warehouseSuitable audience: elementaryLesson count: 76 lessonsTechnologies used: Data

The following content is taken from the Internet and sorted out. Terms: Bi (Business Intelligence): Business Intelligence, DW (data warehouse): Data Warehouse. For details, see section Q1. OLTP (on-line transaction processing): Online Transaction Processing It is also known as a transaction-oriented processing syste

a common subject or business field. The following describes how to create an information package chart through information packaging technology to determine the topic and metadata in the data warehouse.3.4.1 information packaging technology1. Basic use of information packaging technology The information packaging method is a top-down design method, which focuses on one or more topics of an enterprise from

Introduction With the rapid development of China's financial industry, it is an urgent problem for the bank to support the decision analysis by classifying and storing the customer data, analyzing the automatic discriminant of the various factors, and digging out the information needed by the bank managers and the business analyst in the presence of a large amount of data.

The following content is taken from the Internet and sorted out.Terms:BI (Business Intelligence): Business Intelligence,DW (Data Warehouse): Data Warehouse. For details, see section Q1.OLTP (On-Line Transaction Processing): online Transaction ProcessingIt is also known as a transaction-oriented processing system. Its b