Data Control

Just a few weeks ago, the launch of Apache Hadoop 2.0 was a huge milestone in the field of Hadoop, as it opened up an unprecedented revolution in the way data is stored. Hadoop retains its typical "big data" base technology, but does it fit into the current database and data Warehouse usage? Is there a common pattern that can actually reduce the inherent complexity of usage? The general pattern Hadoop uses is originally conceived for companies like Yahoo, Google, Facebook, etc.

Before outsourcing enterprise data storage to cloud services, several factors need to be considered, such as performance, security, control, and reliability. One of the biggest challenges in putting data into cloud services is performance. For cloud storage, your data is located outside the enterprise. When data is transferred to cloud services, control is reduced. Many news hype claims that cloud storage is the ultimate goal of a data storage solution, but in fact, cloud storage (also known as managed storage) is not perfect. If used improperly, the role of cloud storage may outweigh the benefits. 1. Cloud storage: not perfect at all ...

When you hold your phone "shake" and grab a red envelope, you're not alone. Thousands of miles away, there are also a number of "data control" staring at the television screen, the Red envelopes to monitor the release of real-time data. Billions of red envelopes, how to carry a hundreds of millions of-magnitude data torrent? Behind this is the micro-letter and pay the Treasure red envelope Battle of hard power competition. Time to return to the New Year's Eve "finals", 22:30 that night, micro-letter "Shake" Rob red envelopes ushered in the most tense moment: in Guangzhou Tit Creative Park Building 3rd and Teng da 17 floor, micro-letter backstage Operation team look at the TV screen, while watching the Spring Festival Gala Live, ...