Nosql Online Course

Large data age how to evaluate a NoSQL technician release time: 2012.04.16 14:34 &http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; Source: CSDN Author: CSDN To this day, "Big data" the advent of the era ...

How fast is the tide of big data? IDC estimated that the amount of data produced worldwide in 2006 was 0.18ZB (1zb=100), and this year the number has been upgraded to a magnitude of 1.8ZB, which corresponds to almost everyone in the world with more than 100 GB of hard drives. This growth is still accelerating and is expected to reach nearly 8ZB by 2015. The storage capacity of the IT system is far from adequate, let alone digging and analyzing it deeply. In this article, Baidu Chief scientist William Zhang, Teradata Principal customer Officer Zhou Junling, Yahoo!...

How fast is the tide of big data? IDC estimated that the amount of data produced worldwide in 2006 was 0.18ZB (1zb=100), and this year the number has been upgraded to a magnitude of 1.8ZB, which corresponds to almost everyone in the world with more than 100 GB of hard drives. This growth is still accelerating and is expected to reach nearly 8ZB by 2015. The storage capacity of the IT system is far from adequate, let alone digging and analyzing it deeply. In this article, Baidu Chief scientist William Zhang, Teradata Principal customer Officer Zhou Junling, Yahoo! North ...

Many business owners with only more than 10 to dozens of employees ask if they don't want to spend thousands or even million to buy a database software and ask if there are any free database software available. In fact, there are a lot of small business owners in this type of enterprise, their company needs a small database software to statistics the company's some product data and the information of the storage, the amount of data is really small. As I've seen before, some small businesses use office-brought access small databases, but still feel less convenient. Here, the editor recommends several open source databases for small business use ...

Michael Stonebraker is a pioneer in the field of databases. His deep expertise has also helped to develop some of the most popular database systems such as Postgres, Ingres and Vertica. One of his most recent studies is VoltDB, a memory-based OLTP (Online Transaction Processing) system, which he claims is two orders of magnitude faster than traditional solutions. However, Stonebraker's opinion has been controversial over the years, on the one hand being ...

Michael Stonebraker is a preacher in the database field. He has a deep professional attainments and helped develop some of the most popular database systems, such as http://www.aliyun.com/zixun/aggregation/14171.html ">postgres,ingres and Vertica." His latest research is VOLTDB, a memory-based OLTP (online transaction processing) system, which he claims is two faster than the traditional solution ...

Apache Cassandra is a highly performance, scalable, distributed NoSQL database with a flexible, simple partitioned row storage data model that can be used to deal with commercial servers and massive data storage across data centers without a single point of failure. It was originally developed by Avinash Lakshman (Amazon Dynamo developer) and Prashant Malik on Facebook to address their inbox-search problems, then officially open source in July 2008, and since then ...

There are two main ways to store data: Database and filesystem, and the object-oriented storage are developed behind, but the overall thing is to store both structured and unstructured data. DB is initially serviced for structured data storage and sharing. FileSystem storage and sharing is large files, unstructured data, such as pictures, documents, audio and video. With the increase in data volume, stand-alone storage can not meet the needs of structured and unstructured data, then in the era of cloud computing, there is a distributed ...

There are two main ways to store data: Database and filesystem, and the object-oriented storage are developed behind, but the overall thing is to store both structured and unstructured data. DB is initially serviced for structured data storage and sharing. FileSystem storage and sharing is large files, unstructured data, such as pictures, documents, audio and video. With the increase in data volume, stand-alone storage can not meet the needs of structured and unstructured data, then in the era of cloud computing, there is a distributed ...

There are two main ways to store data: Database and filesystem, and the object-oriented storage are developed behind, but the overall thing is to store both structured and unstructured data. DB is initially serviced for structured data storage and sharing. FileSystem storage and sharing is large files, unstructured data, such as pictures, documents, audio and video. With the increase in data volume, stand-alone storage can not meet the needs of structured and unstructured data, then in the era of cloud computing, there is a distributed ...