Nosql Bi

"IT168" I have always felt that nosql in fact very easy to understand, I have also had a very in-depth study of NoSQL, but in the recent preparation of yuntable chart, found that NoSQL not only very profound, 　　And my personal understanding of NoSQL is only superficial, but I am still a "shame and then Yong" people, so after a period of study, from the sixth part of this series, will talk to you nosql, and this article will be the main to do a NoSQL database review. ...

When large data, namely big and cloud computing, mobile applications and social networks, became popular in the 2012, it was the most fashionable word in the field of information technology. IBM, Oracle, SAP, Microsoft and other vendors, like the search for a new gold mine, began to strongly promote the big data concept. As a result, many vendors flocked to grab the big data market, especially SAP's Hana and Oracle's exalytics. In contrast, some of the companies that push bi are not up to the level of large data, sticking to the position of the report analysis. In fact, big data really has ...

When large data, namely big and cloud computing, mobile applications and social networks, became popular in the 2012, it was the most fashionable word in the field of information technology. IBM, Oracle, SAP, Microsoft and other vendors, like the search for a new gold mine, began to strongly promote the big data concept. As a result, many vendors flocked to grab the big data market, especially SAP's Hana and Oracle's exalytics. In contrast, some of the companies that push bi are not up to the level of large data, sticking to the position of the report analysis. In fact, big data really has ...

Big data surging, red IT industry has never lacked a new concept, the term, new technology, update fast, the launch of the fierce, dizzying. 　　After cloud computing and social networking, big data is now on fire again, surging, and seems to be the most fashionable word in the 2012 Information technology field. Oracle, SAP, IBM, Microsoft and other IT giants, such as looking for a new gold mine, began to dig up large data, multi-directional promotion of large data concepts, especially SAP Hana and Oracle ...

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 ...

With the development of the Internet, mobile Internet and IoT, no one can deny that we have actually ushered in a massive data era, data research company IDC expects 2011 total data will reach 1.8 trillion GB, the analysis of these massive data has become a very important and urgent demand. As an Internet data analysis company, we are "revolt" in the field of analysis of massive data. Over the years, with stringent business requirements and data pressures, we've tried almost every possible big data analysis method, and finally landed on the Hadoop platform ...

The big data is "soar" in 2012, and it will change every aspect of data management in a dramatic way. Large data systems have brought changes to machine-generated data management, continuous ETL, operational bi, Dynamic Data, and cloud-based data warehouses. However, with big data coming into the 2013, there is no technology that is more active than the NoSQL database and Hadoop, and they all have greater room for improvement. According to a report from marketanalysis.com 2012, it's just hadoop m.

The big data is "soar" in 2012, and it will change every aspect of data management in a dramatic way. Large data systems have brought changes to machine-generated data management, continuous ETL, operational bi, Dynamic Data, and cloud-based data warehouses. However, with big data coming into the 2013, there is no technology that is more active than the NoSQL database and Hadoop, and they all have greater room for improvement. According to a report from marketanalysis.com 2012, it's just the Hadoop Ma ...

The big data is "soar" in 2012, and it will change every aspect of data management in a dramatic way. Large data systems have brought changes to machine-generated data management, continuous ETL, operational bi, Dynamic Data, and cloud-based data warehouses. With big data coming into the 2013, there is no technology that is more active than the NoSQL database and Hadoop, and they all have greater room for improvement. According to a report marketanalysis.com 2012, it's just Hadoop mapr ...