SSDBA high-performance NoSQL database that supports rich data structures to replace Redis.Characteristics
100 times times the capacity of Redis instead of Redis database
LevelDB network support, using C + + development
Redis API compatible, support for Redis clients
Suitable for storing collection data, such as list, hash, zset ...
The la
What is a data warehouse, and what is the difference between a databaseDataWarehouseis a subject-oriented (Subject oriented), integrated (integrate), A relatively stable (non-volatile), data collection that reflects historical changes (timeVariant) to support management decisions. (1) topic-oriented: Index data in the
According to the author's experience in the Data Warehouse ETL internship in Teradata and Main Street network, we can understand the relationship and difference between them in architecture design.
Teradata is generally the enterprise-class data Warehouse, in the Teradata Data
Data Warehouse is a subject-oriented (Subject oriented), integrated (integrate), relatively stable (non-volatile), data collection that reflects historical changes (time Variant). Used to support management decisions.(1) Topic-oriented: Index data in the warehouse is organiz
Memcached Video tutorial Big Data high performance clustered NoSQL installation command used, Memcachednosql
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Kickfire: the SQL chip boosts the MySQL data warehouse to equip every MySQL database server with an SQL chip. this is a vision of Kickfire to focus on the data warehouse market.
Kickfire launched the Kickfire Database Appliance test version integrated with the new SQL chip in April 14. The company said that the SQL ch
When building a data warehouse, we will certainly mention the dimension modeling method. This method is first proposed by Kimball, and its simplest description is to build the Data Warehouse, data mart according to the fact table and dimension table. In the dimension modelin
The specific database that we create for a program is generally called a transactional database (Transaction), and its data Warehouse (DW) is very different. 1. Transactional databases help people perform activities, and data warehouses help people plan. For example, a transactional database might show which seats on a flight are empty, so passengers can make res
What does the granularity in the data warehouse mean?
Granularity is one of the most important aspects of data warehouse design. Granularity refers to the level at which the data stored in the data unit of the
Infobright is a column-type database based on a unique proprietary knowledge grid technology. Infobright is open source MySQL Data Warehouse solution, introduced a column storage solution, high-strength data compression, optimized statistical calculation (similar to Sum/avg/group by), Infobright is based on MySQL, but do not install MySQL can also, Because it its
Infobright is a column-type database based on a unique proprietary knowledge grid technology. Infobright is open source MySQL Data Warehouse solution, introduced a column storage solution, high-strength data compression, optimized statistical calculation (similar to Sum/avg/group by), Infobright is based on MySQL, but do not install MySQL can also, Because it its
Partitioning a relational data warehouse
The following sections will briefly explain the concept of a relational data warehouse, the benefits of partitioning a relational data warehouse, and the benefits of migrating to Microsoft
In the field of data warehousing, we often hear some personal or organizational debate about the theory of data warehousing, whether it belongs to Bill Inmon or Ralph Kimball faction. Below we will describe the difference between the two.
Bill Inmon Paradigm:The Data Warehouse is part of a holistic business intelligen
Data
Data Warehouse Learning Experience
A Concept
1. Data Warehouse: Refers to the theme-oriented, consistent, different time, stable data collection, to support the management of the decision support process. In a broad sense,
Building a data warehouse is not a simple task and should not be done by one person alone. Since data warehousing is best integrated with business practices and information systems technology, a successful data warehouse implementation requires constant coordination of both
Review
As more and more organizations of data from the GB, TB level to the PB level, marking the entire social informatization level is entering a new era-the big data era. The processing of massive data, analytical ability, increasingly becoming the key factor in the future of the organization in this era, and based on the application of large
The inventory check of books plays a vital role in the warehousing management of book enterprises. With the development of the times, the circulation of books is growing today, and the types and update speed of books are also increasing rapidly. To ensure a foothold in the book industry, we must first ensure the correct purchase and inventory control and delivery, so as to avoid the increase of goods backlog and management costs. However, traditional simple and static
management gradually realized: to enhance the core competitiveness of brokerage business, we must change the original "Securities trading as the center" mode of operation, the introduction of customer relationship management concept, the implementation of customer relationship management, the establishment of "customer-centric" Brokerage Business Operation mode. By understanding the customer's behavior profile, investment needs, investment trends, risk tolerance, targeted "one-on-one" personali
Multidimensional data modeling organizes data in an intuitive way and supports high-performance data access. Each multidimensional data model is represented by multiple multidimensional data patterns, and each multidimensional data
It is first a search engine rather than a data store (which can actually be used as storage, but not as good as a lot of dedicated storage, but probably enough for small businesses)
is an efficient data analysis engine that comes with analytic syntax and is more powerful than other tools
Not an all-in-one data analysis tool, such as join query s
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