Hadoop Postgresql

First, open source project TDW introduced Tencent distributed http://www.aliyun.com/zixun/aggregation/8302.html "> Data Warehouse (Tencent distributed, Hereinafter referred to as TDW) is the Tencent Engineering and Technology business group data platform based on open source software research and development of a large processing platform, which is based on Hadoop, Hive, PostgreSQL on top of the research and development, and in ...

This article, formerly known as "Don t use Hadoop when your data isn ' t", came from Chris Stucchio, a researcher with years of experience, and a postdoctoral fellow at the Crown Institute of New York University, who worked as a high-frequency trading platform, and as CTO of a start-up company, More accustomed to call themselves a statistical scholar.   　　By the right, he is now starting his own business, providing data analysis, recommended optimization consulting services, his mail is: stucchio@gmail.com. "You ...

Author: Chszs, reprint should be indicated. Blog homepage: Http://blog.csdn.net/chszs Someone asked me, "How much experience do you have in big data and Hadoop?" 　　I told them I've been using Hadoop, but I'm dealing with a dataset that's rarely larger than a few terabytes. They asked me, "Can you use Hadoop to do simple grouping and statistics?" 　　I said yes, I just told them I need to see some examples of file formats. They handed me a 600MB data ...

In 2017, the double eleven refreshed the record again. The transaction created a peak of 325,000 pens/second and a peak payment of 256,000 pens/second. Such transactions and payment records will form a real-time order feed data stream, which will be imported into the active service system of the data operation platform.

The greatest fascination with large data is the new business value that comes from technical analysis and excavation. SQL on Hadoop is a critical direction. CSDN Cloud specifically invited Liang to write this article, to the 7 of the latest technology to do in-depth elaboration. The article is longer, but I believe there must be a harvest. December 5, 2013-6th, "application-driven architecture and technology" as the theme of the seventh session of China Large Data technology conference (DA data Marvell Conference 2013,BDTC 2013) before the meeting, ...

In recent days, database start-ups citus data to implement fast SQL queries on Hadoop, which is not a big deal, because for them, the bigger goal is in the back. Citus data has gone beyond postgres to extend its high-speed, analytical database Citusdb to Hadoop, and then it should be expanding to MongoDB and other database products you already think of. Gigaom's correspondent Derrick Harris thinks Citus data is ...

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 ...

&http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp;   Hadoop is a distributed system platform, it can easily build an efficient, high-quality distribution system, and it has many other related subprojects, that is, its function of a great expansion, including Zookeeper,hive,hbase. ...

As a software developer or DBA, one of the essential tasks is to deal with databases, such as MS SQL Server, MySQL, Oracle, PostgreSQL, MongoDB, and so on. As we all know, MySQL is currently the most widely used and the best free open source database, in addition, there are some you do not know or useless but excellent open source database, such as PostgreSQL, MongoDB, HBase, Cassandra, Couchba ...

When Hadoop enters the enterprise, it must face the problem of how to address and respond to the traditional and mature it information architecture. 　　In the industry, how to deal with the original structured data is a difficult problem for enterprises to enter large data field. When Hadoop enters the enterprise, it must face the problem of how to address and respond to the traditional and mature it information architecture. In the past, MapReduce was mainly used to solve unstructured data such as log file analysis, Internet click Stream, Internet index, machine learning, financial analysis, scientific simulation, image storage and matrix calculation. But ...