Data Warehouse

Large data will evolve into important corporate assets in my opinion, the concept of large data can be explained in the following two aspects: 1. From a technical point of view, large data refers to the large amount of data and complex to be unable to use traditional database technology for governance and value discovery. 　　In this kind of demand, various NoSQL, Newsql, open source technology or commercial platform are emerging and evolving. 2. From a commercial point of view, large data will spawn many new business models. One, as long as the technology is sufficient, enterprises can integrate internal and external large data (such as social data, app data) ...

It seems that the tool of big data makes us very frightened. In addition to the cost of infrastructure, it employs scientists who are able to find actionable ideas from a wealth of unstructured information from a variety of sources. But maybe big data isn't as scary as you might think. According to Microsoft, it is ready to position itself as a large data enterprise, leveraging Business Intelligence (BI) tools to serve the enterprise. For example, the company recently released a preview version of 2013 Excel Data Explorer, a self-service bi plug-in that better serves the day-to-day business staff (not just ...).

I wonder if you have read this article about Twritter, "see how Twitter should respond to the general election: less Ruby and more java." Interested friends can go to search for a look. Obama and Romney on election Day, the number of Twitter server processing per minute is 327,452! On Twitter, people posted 31 million election-related content that day, while Twitter traffic soared, at one point 15,107 per second. In the Internet world, the real success is not ...

December 2014 12-14th, hosted by the China Computer Society (CCF), CCF large data Expert committee, the Chinese Academy of Sciences and CSDN co-organizer of the 2014 China Large Data Technology conference (DA data Marvell Conference 2014,BDTC 2014 will be opened at Crowne Plaza Hotel, New Yunnan, Beijing. The three-day conference aims to promote the development of large data technology in the industry, and to set up "large data Infrastructure" and "large data ..."

Hive is what is in contact with a new thing the first thing to go back to is: What is this? Here is an introduction to the Hive Wiki: Hive is a data warehouse infrastructure built in top of Hadoop. IT provides tools to enable easy data ETL, a mechanism into put businessesflat-out ...

According to sort Benchmark's latest news, Databricks's spark tritonsort two systems at the University of California, San Diego, 2014 in the Daytona graysort tied sorting contest. Among them, Tritonsort is a multi-year academic project, using 186 EC2 i2.8xlarge nodes in 1378 seconds to complete the sorting of 100TB data, while Spark is a production environment general-purpose large-scale iterative computing tool, it uses 207 ...

Sponsored by the China Computer Society (CCF), CCF large data expert committee, the Institute of Computing Technology of the Chinese Academy of Sciences and CSDN co-organized the "2014 China Large Data Technology conference" (DA data Marvell Conference 2014,BDTC 2014) will be held in December 2014 12-14th at Crowne Plaza Hotel Beijing New Yunnan. "The second CCF large data academic conference" will also be held at the same time, and the technical conference to share the theme of the report. This conference will last three days, the General Assembly ...

Data value-added applications: For operators, data analysis has great prospects in the government service market. Operators can also make big data technologies play a bigger role in transportation, emergency response, and stability.

Emerging startups are more focused on providing a single solution by selling data and services, and commercializing and commercializing big data is a model that deserves our attention.

The structure of Hive, as shown in the diagram, is mainly divided into the following parts: User interface, including Cli,client,wui. Meta-data stores, typically stored in relational databases such as MySQL, Derby. Interpreter, compiler, optimizer, executor. Hadoop: Store with HDFS and compute using MapReduce. There are three main user interfaces: Cli,client and Wui. One of the most common is when the cli,cli start, it will start a ...

After 13 years of support, the savage growth of the Taobao business is behind a continuous improvement of the technology platform. The Taobao big data platform is a very important part of it. Data , processing, data application responsibilities, Taobao big data platform all the way to today.

Absrtact: Because Hive employs SQL query Language HQL, Hive is easily understood as a database. In fact, the structure of the Hive and the database in addition to have a similar query language, there is no similarity. This article will explain the differences between Hive and database from several aspects. The database can be used in Online applications, but Hive is designed for the Data Warehouse, which helps to understand the characteristics of Hive from an application perspective. Hive and database comparison query Language ...

Early enterprises are also relatively simple. The data stored in relational databases is often the source of all their data. At this time, their corresponding big data technology is the traditional OLAP data warehouse solution.