simpledb

the invention of parallel algorithms, Grid computing is the first thing to welcome. Grid Computing Uses idle desktop computer resources for parallel computing. The most famous example is the Berkley University's SETI @ home Program, which uses idle CPU resources to analyze space data. Financial institutions also carry out large-scale grid computing for risk analysis. Idle resources, coupled with the rise of the J2EE platform, ushered in the concept of cloud computing: Application Service Virtua

cloud computing field. Cloud computing (version 2) enhances operability and provides a large number of application instances, programming methods, and experimental steps. The main contents of cloud computing (version 2) include: Google's GFS, mapreduce, bigtable, chubby, External Store, dapper, and App Engine; amazon's dynamo, EC2, S3, SQS, simpledb, cloudfront, Microsoft's Windows Azure, SQL Azure, app fabric, VMWare's vsphere, vcenter, etc, open-so

Microsoft has launched LINQ in. NET 3.5. Now the various LINQ providers are full of flying sky. I saw a list of LINQ providers on the foreigner site just now, with more than 30: LINQ to Amazon LINQ to Active Directory LINQ to Bindable Sources (SyncLINQ) LINQ over C # project LINQ to CRM LINQ To Geo-Language Integrated Query for Geospatial Data LINQ to Excel LINQ to Expressions (MetaLinq) LINQ Extender (Toolkit for building LINQ Providers) LINQ to Flickr LINQ to Google LINQ to Indexes (LINQ and i

Horizontal Split Database Sharding, some of which are split, some are slice, and others are slice. I use the splitting method because it is closer to application thinking. Horizantal Sharding is implemented at the database layer in NoSQL (such as MongoDB, CouchDB, and SimpleDB), and Microsoft needs to implement it in SQL Azure, previously, it was implemented through ADO.net. Horizontal segmentation shortens the index length and increases the insert/

as cloud service (EC2), a database used to store large media files (S3 ), the Index Service (simpledb) and the sequence Service (SQS ). 7. Concurrency) Concurrency is the easiest place for software engineers to make mistakes. This is understandable because we have always followed linear thinking, but concurrency is very important in modern systems. Concurrency is the parallel processing in the program. Most modern programming languages contain built-

as cloud service (EC2), a database used to store large media files (S3 ), the Index Service (simpledb) and the sequence Service (SQS ). 7. Concurrency)Concurrency is the easiest place for software engineers to make mistakes. This is understandable because we have always followed linear thinking, but concurrency is very important in modern systems. Concurrency is the parallel processing in the program. Most modern programming languages contain built-i

requests. 2. Huge Storage-The need for efficient storage and access to massive amounts of data For the large-scale SNS website, the daily user generates a huge amount of user dynamics, taking foreign friendfeed as an example, one months to reach 250 million user dynamics, for the relational database, in a 250 million records of the surface of the SQL query, the efficiency is extremely low even intolerable. 3. High Scalability hi availability-requirements for database scalability and high avail

services account. Panda uses SimpleDB to store all video data and accounts. Panda supports the FLV, h264 format, and iphone format for Flash. Panda use 3. Openvideoplayer Open source web video player developed using Adobe Flash with Microsoft Silverlight. 4. Xe-videogalv3 FX Xe-videogalv3 FX is an open-source Flash video player. The player is able to display thumbnails of a screen in mul

way. It makes you more obsessed with Microsoft. Vendor lock-In is always good for the manufacturer.Why are we developing this? Why don't we consider the behavior of the application more than how it is stored? Now all of my projects use JSON-based key/value storage. With this feature, I can choose any storage engine I want, including SQL Server,oracle,postgresql,mysql,cassandra, CouchDB, Couchbase, Dynamo, SimpleDB, S3, Riak , BerkeleyDB, Firebird, hy

.Persevere Persevere is an object storage engine and application server (based on Java/rhino), which provides a server JavaScript environment for persisting data storage of dynamic JSON data. Supports the use of standard JSON http/rest Web interfaces to create, read, update, and delete data. Persevere is proud of its "Schema-free", a feature that makes it very different from other databases. Persevere allows you to add schemas as you please. Persevere does not refer to the top-level hierarchy a

automatic primary key generation), it is most likely that the same primary key will appear in a single database set. You can reconcile sequences across distributed databases, but this increases the complexity of the system. The safest way to avoid the same primary key is to have the application (the application will manage the Shard system) generate the primary key. Cross splitting queryMost segmentation implementations (including Hibernate shards) do not support cross splitting queries, which

accumulated valuable experience in non-relational databases and cloud computing over the years, such as Amazon SimpleDB and AmazonS3 services. Customers can use the fully managed database service in a very easy way. Amazondynamodb is a high-performance, extensible NoSQL database. Users, traffic and data for today's Internet applications are growing. How the database expands very well. Meeting the demand for capacity and performance for Internet appli

I learn MongoDB time is not long, but in view of the needs of the work and the future trend of development, I want to deeper understanding of the underlying principles of MONGODB and more flexible application of mongodb, learning while working practice.MongoDB belongs to the most popular database in NoSQL, so we might as well have a basic understanding of NoSQL:NoSQL, full name is "not only Sql", refers to the non-relational database. NoSQL is the most used when the number of key-value storage,

Peer Replication Model Array version-stamp (vector stamp) Maintains an array of records for all node versions, for example [Server01:1, Server02:4, Server03:5] If some values are missing, they are treated as 0, such as the server04:0 This makes it easy to add nodes The version stamp only detects conflicts and does not resolve conflicts, and conflict resolution relies on domain knowledge Seven, Map-reduce A form of di

requirements of my ORM Framework are this: 1, simple and quick to get started (because I do not want to spend too much energy on this, and EF methods of data is very full); 2, performance as long as the line (not to develop the performance requirements of the product, I think Microsoft's products are not low performance); 3. Later if you want to change the database, it is best not to change the code (this is the main reason I like EF, as long as the data connected to Exchange, DLL replacement,

supports some Web development languages, including C #/. NET (3.5), PHP (5.1), JavaScript, HTML and CSS, among which C # project includes ASP. NET, WCF, Silverlight, WPF, MVC, and other projects. The JavaScript script project supports popular JQuery, ExtJS, YUI, and other frameworks. The database supports SQL Server 2005 and Amazon SimpleDB. Finally, it is particularly worth mentioning that CodeRun is an open-source program.Use now10. eCoder Ecoder i

, programming methods, and experimental steps. The main contents of cloud computing (version 2) include: Google's GFS, mapreduce, bigtable, chubby, External Store, dapper, and App Engine; amazon's dynamo, EC2, S3, SQS, simpledb, cloudfront, Microsoft's Windows Azure, SQL Azure, app fabric, VMWare's vsphere, vcenter, etc, open-source cloud computing technologies such as hadoop, eucalyptus, Cassandra, hive, and voltdb. Readers can get more information a

GB sent to storage within the billing period Storage I/O Requests Per thousand Requests in the billing period Figure 3-Typical Pricing Model for IaaS vendors and PaaS vendors Figure 4 shows a list of a few of the IaaS vendors in the software industry today and their offerings. when comparing the offerings of the varous vendors it is helpful to organize their capabilities according to Hosting Environment, Storage, and other Cloud Services. Vendor IaaS Offering Hosting Environment Storage Cloud S

and Digg Eric florenzano: my thoughts on nosql I want to personally experience the document-type database, so I chose MongoDB, which can be seen on its FAQ page: MongoDB is a document-type database management system. You can regard it as a storage space for persistent objects. It is neither relational nor "data table oriented" like "Amazon simpledb" or "Google bigtable. If you were in yourProgramAfter using the ORM tool, you will

--Part.aspxLINQ to javascript: http://www.codeplex.com/JSLINQLINQ to LDAP: http://community.bartdesmet.net/blogs/bart/archive/2007/04/05/the-iqueryable-tales-linq-to-ldap-part-0.aspxLINQ to llblgen Pro: http://weblogs.asp.net/fbouma/archive/2008/03/12/beta-of-linq-to-llblgen-pro-released.aspxLINQ to Lucene: http://www.codeplex.com/linqtoluceneLINQ to metaweb (freebase): http://www.codeplex.com/metawebToLinQLINQ to MySQL, Oracle and PostgreSQL (dblinq): http://code2code.net/DB_Linq/LINQ to ncover