Difference Between Big Data And Relational Database

As two of the most popular technologies in the field of information management, the hardware architecture of database integration machine and large data technology is basically the same, but the software system has the essential difference, which leads to the different characteristic performance. With the rapid growth of enterprise data and the continuous improvement of users ' requirements for service level, the traditional relational database technology has shown obvious lack of ability in production practice for a long time. How to obtain high availability of massive data at reasonable cost has become a major challenge in modern it field. In order to meet this challenge, in recent years, it market ...

HBase is a distributed, column-oriented, open source database based on Google's article "Bigtable: A Distributed Storage System for Structured Data" by Fay Chang. Just as Bigtable takes advantage of the distributed data storage provided by Google's File System, HBase provides Bigtable-like capabilities over Hadoop. HBase Implements Bigtable Papers on Columns ...

The big data age has come and has quietly influenced our lives. According to a recent study by IDC, 1 million new links are shared every 20 minutes on Facebook and 10 million user reviews are released. 　　Facebook and all other Internet sites, Internet applications, have gradually become the entire data collection, analysis, processing and value-added architecture. In China, social networks are also in full swing. Sina Vice President Wang Gaofei has said that Sina Weibo has registered more than 300 million users, users on average daily release more than 100 million micro bonnet ...

Big data hit many years ago, the industry was discussing a topic: How to deal with massive data? In particular, some need to store a large number of user data industry, finance, telecommunications, insurance and other popular industries. Users almost every hour of the day, are likely to produce a large number of data, these industries storage equipment, must be the data generated during the period of meticulous record, in order to prevent loss, but also must do backup, but also have to do off-site disaster recovery backup, which is not finished, business interruption events can not exceed the number of time range, Otherwise it is a major accident, so must be through the IT system assurance industry ...

If only a large amount of structured data, then the solution is relatively simple, users to buy more storage equipment, improve the efficiency of storage devices and other solutions to such problems. 　　However, when people find that the data in the database can be divided into three types: structural data, unstructured data and semi-structured data and other complex situations, the problem seems to be less simple. Big Data hits when the type of complex data hits, then the impact on the user IT system will be another way to deal with. Many industry experts and third party investigation agencies through a ...

There are often misconceptions about the relationship between big data and cloud computing. 　　And they will be mixed up to say, do one sentence of a straightforward explanation is: cloud computing is the virtualization of hardware resources, large data is the efficient processing of massive data. Although the above sentence explanation is not very appropriate, but can help you to understand the difference between the two. In addition, if you do a more vivid explanation, cloud computing is equivalent to our computer and operating system, will be a lot of hardware resources virtualization after the allocation of use, in the field of cloud computing is now the boss of Amazon, can ...

Storing them is a good choice when you need to work with a lot of data. An incredible discovery or future prediction will not come from unused data. Big data is a complex monster. Writing complex MapReduce programs in the Java programming language takes a lot of time, good resources and expertise, which is what most businesses don't have. 　　This is why building a database with tools such as Hive on Hadoop can be a powerful solution. Peter J Jamack is a ...

In the siege of large manufacturers such as Oracle, IBM and Microsoft, domestic database makers are still struggling to survive. This is an undeniable fact that the database market is close to saturation, especially in the face of the relationship between the transaction database field, foreign manufacturers start early, rich in resources, and also continue to encroach on the market segments, has formed a huge advantage. Faced with this situation, the South's general CTO Vounie that the domestic database manufacturers have missed the best time, should not take their own short board (OLTP) to go head-to-head, but should be in the direction of OLAP. Accompanied by large data ...

In the siege of large manufacturers such as Oracle, IBM and Microsoft, domestic database makers are still struggling to survive. This is an undeniable fact that the database market is close to saturation, especially in the face of the relationship between the transaction database field, foreign manufacturers start early, rich in resources, and also continue to encroach on the market segments, has formed a huge advantage. Faced with this situation, the South's general CTO Vounie that the domestic database manufacturers have missed the best time, should not take their own short board (OLTP) to go head-to-head, but should be in the direction of OLAP. Accompanied by large data ...

The concept of blockchain to technology has been around for a long time, but with the heat of the past two years, it has gradually become known by the market and many technicians.