When To Use Nosql Vs Sql

After completing one of the biggest projects of the year, the focus is shifting from PM's role to storage-related work, so it took some time outside of the work to focus on NoSQL related information (mainly from blog.nosqlfan.com) NoSQL related [translate] nosql ecosystem Http://blog.nosqlfan.com/html/2171.html//This is the best and most complete document I have seen NoSQL speak about nos ...

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 ...

For users who have just come into contact with large data, it is difficult to distinguish between hive and hbase. 　　This paper will try to analyze it from the aspects of its definition, characteristic, limitation and application scene. 　　What is Hive? The Apache hive is a data warehouse at the top of the Hadoop (Distributed system infrastructure), noting that this is not a database. Hive can be viewed as a user programming interface that does not store and compute data itself; it relies on HDFs (Hadoop Distributed File System) and ...

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 ...

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? ...

The intermediary transaction SEO diagnoses Taobao guest stationmaster buys cloud host technology Hall the article before--the website data analysis Some questions 2 mainly collates the bi related question, this article mainly wants to organize some data warehouse related question. Because I recently looked back at some data warehouse information and books, want to put forward as well as the current problems to come up (blog about data Warehouse related content Please refer to the website Data Warehouse this directory), at the same time they also have the knowledge of the data warehouse under the reorganization and understanding, and for a long time ...

"Editor's note" in the famous tweet debate: MicroServices vs. Monolithic, we shared the debate on the microservices of Netflix, Thougtworks and Etsy engineers. After watching the whole debate, perhaps a large majority of people will agree with the service-oriented architecture. In fact, however, MicroServices's implementation is not simple. So how do you build an efficient service-oriented architecture? Here we might as well look to mixrad ...

00:12:42 Sundar Pichai Podium After Playing a Video 00:13:54 Sundar Pichai appears to be hosting today's conference as head of Android and Chrome. 00:14:23 Pichai thanks the live video to developers around the world who watch the live broadcast over the internet. 00:16:22 Android currently has more than one billion users. 00:16:49 Global smartphone shipment reached 3 in the fourth quarter of last year

http://www.aliyun.com/zixun/aggregation/13383.html"> Spark memory computing framework for a variety of iterative algorithms and interactive data analysis to improve the real-time processing of big data and accuracy.And MapReduce processing framework Is good at complex batch operations, landing filtering, ETL (data extraction, conversion, loading), web indexing and other applications, MapReduce has been criticized for low latency business.