Big Data Vs Hadoop

This year, big data has become a topic in many companies. While there is no standard definition to explain what "big Data" is, Hadoop has become the de facto standard for dealing with large data. Almost all large software providers, including IBM, Oracle, SAP, and even Microsoft, use Hadoop. However, when you have decided to use Hadoop to handle large data, the first problem is how to start and what product to choose. You have a variety of options to install a version of Hadoop and achieve large data processing ...

In the case of domestic banking without Hadoop technology, Everbright Bank's first application pilot project based on Hadoop technology--The historical Data query project was successfully put into production at the end of October 2013, which is an important milestone in the application of Hadoop technology in the banking system. From Silicon Valley to Beijing, from Zhongguancun to Jinrongjie, the topic of big data is becoming more and more popular, and the exploration of large data technology is more and more extensive. China Everbright Bank, which is committed to creating the most innovative bank, closely follows the business and technology development trend, and has carried out in-depth research on large data technology.

Now, cloud computing and large data are undoubtedly the fire of the concept, the industry to their discussion also intensified, then cloud computing and large data encounter again how the link? Some people say that cloud computing and large data are twins, two are different individuals, interdependent and complementary, and some people say that big data is to disrupt. Cloud computing VS Big Data in this regard, IBM Global Senior Vice president, the Department of Systems and Technology (STG) general manager Rod Adkins that the current global IT field has exciting development trends and challenges, now ...

In the era of data-king, the ability of data mining has become one of the important indexes to measure the competitiveness of enterprises. How to make use of the common large data platform Hadoop, how to choose a suitable enterprise business of the Hadoop distribution has undoubtedly become the enterprise's necessary skills. In this costly exploration process, the top events in the large data industry have undoubtedly become an important cognitive and learning channel for each institution. 　　Here we go into Hadoop Summit 2014. The 2014 Hadoop summit was in the United States from June 3 to 5th ...

Today, the concept of big data has flooded the entire IT community, with a variety of products with large data technologies, and a variety of bamboo seen for processing large data tools like rain. At the same time, if a product does not hold the big data of the thigh, if an organization has not yet worked on Hadoop, Spark, Impala, Storm and other tall tools, will be the evaluation of obsolete yellow flowers. However, do you really need to use Hadoop as a tool for your data? 　　Do you really need large data technology to support the data type of your business processing? Since it is ...

Long, founder of the Easyhadop community, the original Storm audio platform research and development manager, the first in the country to obtain the United States Cloudera company Apache Development Engineer (CCDH) certification examination); Red Elephant Cloud Teng founder & chief architect, many times in the China CIO Annual meeting, Aliyun Congress, the Beijing University CIO Forum published a large data speech, but also data Wis large numbers Hadoop experts. In this big Data salon, ...

Hadoop technology friends will certainly be confused about its system under the parasitic open-source projects confused, and I promise Hive, Pig, http://www.aliyun.com/zixun/aggregation/13713.html "> HBase these open source Technology will get you some confused, do not confused more than just one, such as a rookie post doubt, when to use Hbase and when to use Hive? ...

In Serengeti, there are two most important and most critical functions: one is virtual machine management and the other is cluster software installation and configuration management. The virtual machine management is to create and manage the required virtual machines for a Hadoop cluster in vCenter. Cluster software installation and configuration management is to install Hadoop related components (including Zookeeper, Hadoop, Hive, Pig, etc.) on the installed virtual machine of the operating system, and update the configuration files like Namenode / Jobtracker / Zookeeper node ...

Although the "editor's note" has been available for 9 years, the popularity of Mongodb,hamsterdb is still lacking, and it has been rated as a Non-mainstream database. Hamsterdb is an open source key value type database. However, unlike other Nosql,hamsterdb, which are single-threaded and not distributed, they are designed to be more like a column store database, while also supporting acid transactions at the Read-committed isolation level. Then compare Leveldb,hamsterdb will have any advantage, here we go ...

At the O ' Reilly Media conference in New York this September there were two big calls for big Data technology: Enterprise-class and agile. We know that enterprise-class business intelligence products include Oracle Hyperion, SAP BusinessObjects, and IBM Cogonos, while Agile products have qlikview, tableau, and Tibco Spotfire. If it turns out that big data has to buy enterprise-class products, that means big data can cost a lot. But this is not absolute, by using large data agile technology, each ...