From April 26 to April 27, 2013, at the Renaissance Beijing Capital Hotel, the 2013 Big Data Global Technology Summit , sponsored by the 51TTO Media Group's WOT (World Of Tech) brand, was held. The summit mainly focuses on the big data infrastructure and the ecosystem of upper-level applications to solve the problems caused by large-scale data, explore solutions to big data-based solutions, and stimulate the competitiveness brought by data mining so that the data has its own opinion.
2013 Big Data Global Technology Summit Topics
Ming Lei, a senior architect at Google's U.S. headquarters, came up with a NoSQL solution for how to choose a suitable enterprise. Not only that, the following three points should be paid attention to when solving the solution.
Understand the architecture.
2. Understand the usage patterns.
3. Several NOSQL detailed comparison of open source projects
Among them, the common architecture of open source storage system includes: Highly Coupled (clustered) vs. Space based; Peer-to-Peer vs. Client-to-Server; Inter-process Co-ordination vs. Database Centric.
However, what latitudes should different solutions adopt?
Storage Type
CAP
ACID
· Read / Write Performance
Replication and Sharding
Indexed and Secondary Index
High Availability, Fault Tolerance, Failover
Scalability on data and request
Storage type
Document: Jackrabbit, MongoDb, ArangoDb, CouchBase, CouchDb
Columns: Hbase, Cassandra
Key-Values: Riak, MemCacheDb