Periodic Table Database

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Optimizing disk storage space for the monthly database of urchin profiles

Summary: Urchin's report data is stored in a monthly database unique to each profile (note: Urchin data is archived on a monthly basis), which is typically located in the Urchin data/reports directory. The report data for each configured processed database size of urchin is stored in the monthly database unique to each profile (note: The urchin analysis is archived on a monthly basis), which is typically located in urchin data/re ...

Delve into the performance of new levels in Windows Azure SQL database

April 24, we released a preview version of the SQL Database base level (preview) and standard (preview) new service levels and new business continuity features. In this blog post, we delve into the performance of new levels in SQL Database. Begin with the need for change. We focus on performance (specifically predictable performance) in new service levels, driven primarily by strong customer feedback on SQL Database Web-Level and enterprise-class performance. Web-and enterprise-level performance ...

A distributed algorithm for deeply analyzing NoSQL database

The scalability of the system is the main reason for promoting the development of NoSQL movement, including distributed system coordination, failover, resource management and many other features. That makes NoSQL sound like a big basket that can be stuffed with anything. Although the NoSQL movement does not bring fundamental technological changes to distributed data processing, it still leads to extensive research and practice on protocols and algorithms. It is through these attempts to gradually summarize some effective database construction methods. In this article, I will focus on the distributed features of the NoSQL database ...

A distributed algorithm for deeply analyzing NoSQL database

The scalability of the system is the main reason for promoting the development of NoSQL movement, including distributed system coordination, failover, resource management and many other features. That makes NoSQL sound like a big basket that can be stuffed with anything. Although the NoSQL movement does not bring fundamental technological changes to distributed data processing, it still leads to extensive research and practice on protocols and algorithms. It is through these attempts to gradually summarize some effective database construction methods. In this article, I will focus on the NoSQL database distributed special ...

Application of HBase in Content recommendation engine system

After Facebook abandoned Cassandra, HBase 0.89 was given a lot of stability optimizations to make it truly an industrial-grade, structured data storage retrieval system. Facebook's Puma, Titan, ODS time Series monitoring system uses hbase as a back-end data storage System.   HBase is also used in some projects of domestic companies. HBase subordinate to the Hadoop ecosystem, from the beginning of the design of the system is very focused on the expansion of the dynamic expansion of the cluster, load are ...

Data analysis platform architecture under large data

With the development of the Internet, mobile Internet and IoT, no one can deny that we have actually ushered in a massive data era, data research company IDC expects 2011 total data will reach 1.8 trillion GB, the analysis of these massive data has become a very important and urgent demand. As an Internet data analysis company, we are "revolt" in the field of analysis of massive data. Over the years, with stringent business requirements and data pressures, we've tried almost every possible big data analysis method, and finally landed on the Hadoop platform ...

Sweep 13 Open source Java Large data tools, from theory to practice analysis

Big data has almost become the latest trend in all business areas, but what is the big data? It's a gimmick, a bubble, or it's as important as rumors. In fact, large data is a very simple term--as it says, a very large dataset. So what are the most? The real answer is "as big as you think"! So why do you have such a large dataset? Because today's data is ubiquitous and has huge rewards: RFID sensors that collect communications data, sensors to collect weather information, and g ...

"SaaS Pioneer" online six months broken 350,000 users, dayhr to create a free HR cloud Platform

"Editor's note" The Hot market for SaaS investment has spawned a large number of startups, and many startups in the 2014 SaaS niche have received huge sums of money, which will provide them with strong support for future platforms, marketing and so on. Enterprise cloud applications, represented by SaaS, are changing the overall it landscape. SaaS services are popular with small and medium-sized enterprises because of their simplicity and ease of use, as well as various features and user-friendly SaaS applications, and for the performance of the SaaS industry, IT staff in all walks of life ...

Optimize the medium-term website fine-tuning operation can not be ignored

Intermediary transaction http://www.aliyun.com/zixun/aggregation/6858.html ">seo diagnose Taobao guest cloud host technology Hall in the website SEO optimization, you have encountered the following problems, We have passed the time of the new station into the optimization medium-term, but no matter how we send out the chain, update the article site snapshots like a snail motionless, then our optimization seems to have entered the bottleneck, a key word in our original ...

Vendor lock-in is a common problem with many cloud deployments

China IDC Circle July 16 reported: Manufacturers lock is a common problem of many cloud deployment. We all know a historic it challenge: The more a company uses a specific vendor's product or service, the higher its reliance on the vendor and its product services, and the more difficult it is for companies to change vendors. Even when you renew a contract with an existing vendor, this can lead to a lack of initiative in the negotiation process. Manufacturers know that the cost of enterprise change manufacturers is very high, the difficulty is very good, so both take its light, enterprises will inevitably accept the requirements of manufacturers price increases. Lower utilization rate ...

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