offsite data storage solutions

Discover offsite data storage solutions, include the articles, news, trends, analysis and practical advice about offsite data storage solutions on alibabacloud.com

A data storage solution for an oil field in NetApp

-dimensional seismic data, whether it is processing interpretation, or virtual reality application system, are faced with a one-time load of large data body work, coupled with the application of the intermediate results, large-capacity file system and large-size single file storage equipment is the efficient completion of production tasks reliable guarantee. • P

Store PHP session data to database code instances and session data storage

Store PHP session data to database code instances and session data storage A development environment has multiple websites and requires different sessions. There are many solutions. However, this is also a big move, with data inventory to facilitate future expansion. Postgre

On the application of massive data storage in MongoDB database

/hbase, Cassandra, hypertable, Amazon simpledb, etc.), a document-type database (MongoDB, CouchDB, Orientdb, and so on), a key-value database (Azure Table Storage, Membase, Redis, Berkeley DB, memcachedb, etc.), graphics database (neo4j, Infinite graph, sones, bigdata, etc.), object-oriented database (DB4O, Versant, objectivity, starcounter, etc.), grid and cloud Database (Gigaspaces, Queplix, Hazelcast, etc.), XML database (Mark Logic Server, EMC Doc

Three-minute reading of Oracle data storage disaster Dataguard

analysis use Dataguard is too bloated, not flexible. Ogg also has significant advantages in synchronizing data migrations on heterogeneous platforms. It is also used for data migration scenarios where downtime is less than the time. The downtime of the business migration can be greatly reduced through its initialization data and later incremental synchronization

Cloud computing and data selection of Windows azure table Storage and SQL azure

, WCF Data Services focuses on data transmission rather than data storage. Your data can be stored anywhere: local databases, cloud databases, external web services, XML files, and so on. No matter how the data comes from, you can

On the application of massive data storage in MongoDB database

data, etc. It's a wide variety, such as a column database (Hadoop/hbase, Cassandra, hypertable, Amazon simpledb, etc.), a document-type database (MongoDB, CouchDB, Orientdb, and so on), a key-value database (Azure Table Storage, Membase, Redis, Berkeley DB, memcachedb, etc.), graphics database (neo4j, Infinite graph, sones, bigdata, etc.), object-oriented database (DB4O, Versant, objectivity, starcounter,

Before using cloud storage data, enterprises must make sufficient preparations

some large manufacturers as their preferred targets, but they have a long history because of their good reputation. However, the vendors you choose also need to know about your business or industry, this is also one of the factors to consider. In this way, suppliers can develop storage solutions that are consistent with your enterprise.  3. Understand bandwidth limitsIf you select cloud as a part of the

Data structure tutorial Lesson four algorithm efficiency measurement and storage space requirements

the subject of this lesson: Algorithmic efficiency metrics and storage space requirements Teaching Purpose: To master the meaning and function of asymptotic time complexity and space complexity of the algorithm Teaching emphases: the significance and function of asymptotic time complexity and its calculation method Teaching Difficulties: The significance of asymptotic time complexity Teaching Content: The measurement of algorithm efficiency T

Defects of online storage data compression technology

). With the duplicate data deletion technique, the data is not changed, but the copy data about 2-n times is deleted, and the indicator is inserted into a "main instance" of the data. A single instance can be treated as a duplicate data deletion. Traditional

Storage Dual-Live configuration considerations across data centers from an Oracle RAC perspective

Tags: RAC stores dual live across data centersORACLE RAC was designed to be dual-live across data centers, designed to load balance and high availability for multiple hosts with shared storage in a data center. But since its architecture does have the potential to load balance and high availability across

Oracle Data Warehousing Solutions for the financial industry

have a comprehensive, detailed understanding of the different types of customers, so as to achieve accurate market positioning of new products and services, maintain competitive advantage, perfect customer data and a unified customer relationship management strategy, will be the future of the bank's new business models, business varieties of the development of a key role, Will greatly promote the development of banking business, improve customer serv

The integration of traditional and innovative big data solutions from IBM

speed requirement for data collection, processing, and use is the second challenge. When the data volume reaches the TB or PB level, traditional algorithms that process small amounts of data cannot process large datasets quickly and effectively enough. Both storage media and management analysis have been greatly chall

Analysis of a trillion-level log and behavioral data storage query Technology (continued)--tindex is a reformed Lucene and Druid

Wu, TindexDigital intelligence based on open source solutions, a set of data storage solutions, the index layer of the scheme through the transformation of Lucene implementation, data query and index writing framework through the expansion of Druid implementation. It can not

MSSQL Best Practices · Using filegroups to isolate backup solutions for hot and cold data

optimize the design of this database and backup recovery system, can make backup, restore more efficient?File Group IntroductionThe detailed description of the filegroup is not the focus of this share, but as the core technology described in this article, it is necessary to introduce the advantages, creation, and use of a file group in SQL Server.Advantages of using FilegroupsSQL Server supports the storage of tables and index

A brief introduction to Sybase massive data storage, access and management

--sybase vlds (Very Large Data Store) solutions and success stories Mass data is a reality in business today With the improvement of information level, the data has gone beyond its original category, it contains various kinds of data information such as business Operation

Data storage solution evaluation standard RDBMSorKV

This article mainly introduces common data storage solutions and evaluation criteria for corresponding selection. Guideline: select a storage method for different application scenarios. 1. Data Storage Solution SQL: MySQL5.55.6Mar

Docker solution to data storage problems

Tags: http ar, SP, file data, on, BS Currently, docker is gaining momentum in the cloud computing field. Every company, regardless of their size, has begun to study this open-source tool and technology. The number of open-source projects and start-ups around docker is also quite high, is a simple management of container web UI has many open source projects. But let alone say that docker must be a cluster for fun, and the bigger it is, the more fun it

Find the best data storage method

efficiency .... of course, these are all far away from the original server experience ........ if we only use databases as the data storage method for general games, the disadvantages are not so exaggerated. Moreover, we can always use open-source solutions such as MySQL and sqllite. there are always available APIs in various languages.In addition to the above,

Massive Data Search Algorithm Optimization-storage/query/Sorting Algorithm

Massive database applications, such as national population management systems and household registration file management systems. In such massive database applications, database storage design and structure optimization (such as index optimization), database query optimization and paging algorithms are particularly important! With the increasing popularity of the Internet, the growth of massive information, and the arrival of grid computing, the dema

What role does container technology play in data center storage?

What role does container technology play in data center storage? Container is one of the most popular topics in the VMworld 2015 Conference. VMware clearly shows that the container and Virtual Machine mashups will quickly enter the enterprise data center. IT organizations still need to defend security and data managem

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