nosql data warehouse

Label:MySQL is now a better nosql solution. We say this because MySQL has the advantage of performance, ease of use, and stability when storing data such as key/value (Key/value). The MySQL engine is robust and well-supported by the community and the official, with a very rich online profile covering a variety of operations, troubleshooting, replication, and various usage patterns. For this reason, MySQL ha

Design | Data building Data Warehouse What do you want to do? Generally, there are two main areas of data Warehouse construction: 1. Interface design with operational database. 2. The design of the data

Schema | Data Microsoft Data Warehouse architecture Absrtact: This article briefly introduces the data warehouse using the Microsoft Data Warehouse architecture, discusses the function

Design | data [For the convenience of their own reading so collect and organize here, Www.DMResearch.net] 21 Principles of Data Warehouse design --7 steps, 7 taboos and 7 ways of thinking Seven steps to efficiently implement a data warehouse The

21 principles of data warehouse design-7 steps, 7 taboos and 7 ideas Seven steps for efficient data warehouse implementation The data warehouse has some kinship with our common RDBMS systems, but it is different. If you have n

　　Seven steps for efficient data warehouse implementation The data warehouse has some kinship with our common RDBMS systems, but it is different. If you have not implemented a data warehouse, from setting goals to providing design

Data warehouse and data mining are two big concepts. They are very mature in foreign countries. In China, with the accumulation of enterprise data and the maturity of ERP in the past few years, data warehouse and

On the NoSQL data model bitsCN.com This article provides a brief overview of NoSQL Data Modeling Techniques. The original article discusses several Data models of NoSQL in detail. It is a comprehensive document that understands

larger than the actual data volume, so the key is that you have a solid understanding of the data.2) growth rate of dataYou may have terabytes of data in a data warehouse or other data source, but before you build a Hadoop cluste

What is a data warehouse? Bill inmon, father of data warehouse, was widely accepted in the definition proposed in building the Data Warehouse published in 1991, A data

First, the Data WarehouseThe standard definition of the Data Warehouse concept is relatively high in the industry, as proposed by Bill Inmon, the father of the Data Warehouse, in the book "Building The Data

First, the Data WarehouseThe standard definition of the Data Warehouse concept is relatively high in the industry, as proposed by Bill Inmon, the father of the Data Warehouse, in the book "Building The Data

in multiple legacy locations, and in some cases even relatively small data sources, such as Microsoft Excel spreadsheets, can be stored on file shares. Clean up data When you merge OLTP data into a data warehouse, you provide an opportunity to clean up your

Data WarehouseThe purpose of the Data Warehouse is to build an integrated data environment for analysis, providing decision support for the Enterprise (decision supports). In fact, the data warehouse itself does not "produce" any

Tags: Step data scientist Architecture agreement New Hope story led meaning avoidanceWhy SQL is beating NoSQL, what this means for future data: http://geek.csdn.net/news/detail/238939 The translator notes: After years of silence, today's SQL is coming back. What's the reason? What impact does this have on the data comm

systems that may have existed for decades with systems that were only implemented a few months ago? This is still before big data and Hadoop. By adding unstructured, Data, NoSQL, and Hadoop to a combination, you will soon get a huge data integration project. The simplest way to describe a