Data Migration Tools Comparison

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Mailbox: The performance tuning and cluster migration of the information database

In mailbox rapid expansion process, one of the performance problems is the MongoDB database level write lock, the time spent in the lock waiting process, directly reflects the user's use of the service process delay. To address this long-standing problem, we decided to migrate a common set of MongoDB (storing mail-related data) to a separate cluster. According to our inference, this will reduce the lock latency by 50%, and we can add more fragments, and we expect to be able to optimize and manage different types of data independently. We start from Mon ...

Forecast 2015 Big Data trends star Ring Sun Yuanhao for you

December 2014 12-14th, hosted by the China Computer Society (CCF), CCF Large data Experts committee, the Chinese Academy of Sciences and CSDN co-organizer, to promote large data research, application and industrial development as the main theme of the 2014 China Data Technology conference? (Big Data Marvell Conference 2014,BDTC 2014) and the second session of the CCF Grand Conference in Beijing new Yunnan Crowne Plaza grand opening. Star Ring Technology CTO Sun Yuanhao's keynote address is "2015 ...

Star Ring Technology CTO Sun Yuanhao: Unified, Low-cost, real-time, integration, 2015 data trends

"Csdn Live Report" December 2014 12-14th, sponsored by the China Computer Society (CCF), CCF large data expert committee contractor, the Chinese Academy of Sciences and CSDN jointly co-organized to promote large data research, application and industrial development as the main theme of the 2014 China Data Technology Conference (big Data Marvell Conference 2014,BDTC 2014) and the second session of the CCF Grand Symposium was opened at Crowne Plaza Hotel, New Yunnan, Beijing. Star Ring Technology CTO Sun Yuanhao ...

The confusion of big data

It has been almost 2 years since the big data was exposed and the customers outside the Internet were talking about big data. It's time to sort out some of the feelings and share some of the puzzles that I've seen in the domestic big data application. Clouds and large data should be the hottest two topics in the IT fry in recent years. In my opinion, the difference between the two is that the cloud is to make a new bottle, to fill the old wine, the big data is to find the right bottle, brew new wine. The cloud is, in the final analysis, a fundamental architectural revolution. The original use of the physical server, in the cloud into a variety of virtual servers in the form of delivery, thus computing, storage, network resources ...

14 Questions for Silicon Valley and Silicon Valley technology companies: Valuation Bubbles/Big Data

From the Silicon Valley firm, to everyone's discussion of the bubble problem, how large data and artificial intelligence combined? What is the prospect of science and technology in the 2015? Dong Fei, a Coursera software engineer from Silicon Valley, sorted out the dry goods and various occasions in his recent Stanford public lectures to share with you. He has a hands-on experience, as well as a detailed analysis of some of the companies that have worked or studied in depth, such as Hadoop, Amazon, and LinkedIn. Dong Fei page Here, the mailbox is Dongfeiwww@gmail ....

A detailed comparison of HPCC and Hadoop

The hardware environment usually uses a blade server based on Intel or AMD CPUs to build a cluster system. To reduce costs, outdated hardware that has been discontinued is used. Node has local memory and hard disk, connected through high-speed switches (usually Gigabit switches), if the cluster nodes are many, you can also use the hierarchical exchange. The nodes in the cluster are peer-to-peer (all resources can be reduced to the same configuration), but this is not necessary. Operating system Linux or windows system configuration HPCC cluster with two configurations: ...

How to write a meaningful website operation optimization Plan (personal case)

The intermediary transaction SEO diagnoses Taobao guest Cloud host technology Hall today Tanabata, a few waiting for marriage brothers to call to the Han court, Green opened the room, I also can't wait to broadcast the number, the results mingtu bad, the room has been set dry, this anger is serious, I decided to write an article to warn themselves: open a room to be early! Recently in the micro-letter "website Operation 108 will be" public number, many people asked me how to write a business plan, I answered one by one, feel busy, just the weekend I do at home a data operation plan (website optimization direction), so I intend to use pro ...

Cloud Computing Guide: Management, architecture, security, networking, and services

One, the charm of the management of cloud computing is that users can start using their ID card and credit card, but that's the problem. Such a simple service is bound to bring many challenges to the unprepared IT department.   We've been through this many times before: the benefits of a technology that are easy to use end up being an unexpected management challenge, such as virtualization, which causes virtual machines to become fragmented, new security risks to smartphones, and instant messaging that triggers corporate governance problems. This article is intended to show IT managers how to maximize cloud computing ...

9 Essentials for cloud storage

Of all the recent concerns about cloud computing, storage is more viewed as an underlying platform. Today, many cloud computing offers only a collection of CPU cores, quantitative memory allocations, low speed storage, or some Internet-facing IP technology.      Recently, there have been interesting advanced technologies related to cloud computing and storage, especially the use of Web Access, which makes access storage no longer restricted to device files or NFS mount points. The "Enterprise-class features" of typical data storage and management are constantly being pushed into new IT architecture innovations. Storage schema ...

Why business Hadoop implementations are best suited for enterprise deployments

Analysis is the core of all enterprise data deployments. Relational databases are still the best technology for running transactional applications (which is certainly critical for most businesses), but when it comes to data analysis, relational databases can be stressful. The adoption of an enterprise's Apache Hadoop (or a large data system like Hadoop) reflects their focus on performing analysis, rather than simply focusing on storage transactions. To successfully implement a Hadoop or class Hadoop system with analysis capabilities, the enterprise must address some of the following 4 categories to ask ...

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