Linux Flat File Database

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Using hive to build a database to prepare for the big data age

Storing them is a good choice when you need to work with a lot of data. An incredible discovery or future prediction will not come from unused data. Big data is a complex monster. Writing complex MapReduce programs in the Java programming language takes a lot of time, good resources and expertise, which is what most businesses don't have.   This is why building a database with tools such as Hive on Hadoop can be a powerful solution. Peter J Jamack is a ...

Building a database using Hive

Storing them is a good choice when you need to work with a lot of data. An incredible discovery or future prediction will not come from unused data. Big data is a complex monster. In Java? The programming language writes the complex MapReduce program to be time-consuming, the good resources and the specialized knowledge, this is the most enterprise does not have.   This is why building a database with tools such as Hive on Hadoop can be a powerful solution. If a company does not have the resources to build a complex ...

Data Center Storage architecture

The storage system is the core infrastructure of the IT environment in the data center, and it is the final carrier of data access. Storage in cloud computing, virtualization, large data and other related technologies have undergone a huge change, block storage, file storage, object storage support for a variety of data types of reading; Centralized storage is no longer the mainstream storage architecture of data center, storage access of massive data, need extensibility,   Highly scalable distributed storage architecture. In the new IT development process, data center construction has entered the era of cloud computing, enterprise IT storage environment can not be simple ...

Wikipedia's description of Hadoop (English)

From Wikipedia, the free encyclopediajump to:navigation, Searchapache hadoopdeveloped byapache Software RELEASE0.18.2/3 November 2008; Agowritten injavaoscross-platformt ...

Eight large cloud storage and online backup solutions

Today, online backup has become an important tool for personal and SME backup, and only needs to log on to the Web Administration page to back up the data anytime, anywhere. Online backups have multiple names, which can be called network Backup, SaaS, or cloud backup.       The scale of online backup is very small, here to introduce a more well-known online backup enterprises, I hope to help. A. Mozy Mozy is a secure online backup service (ie, network hard disk). It is a simple, intelligent ...

"Ask Bottom" Xu Peng: Use Spark+cassandra to build high-performance data analysis Platform (i)

"Guide" the author (Xu Peng) to see Spark source of time is not long, note the original intention is just to not forget later. In the process of reading the source code is a very simple mode of thinking, is to strive to find a major thread through the overall situation. In my opinion, the clue in Spark is that if the data is processed in a distributed computing environment, it is efficient and reliable. After a certain understanding of the internal implementation of spark, of course, I hope to apply it to practical engineering practice, this time will face many new challenges, such as the selection of which as a data warehouse, HB ...

Introducing IBM's SQL technology for Hadoop to relational DBMS users

This article will introduce big SQL, which answers many common questions about this IBM technology that users of relational DBMS have. Large data: It is useful for IT professionals who analyze and manage information. But it's hard for some professionals to understand how to use large data, because Apache Hadoop, one of the most popular big data platforms, has brought a lot of new technology, including the newer query and scripting languages. Big SQL is IBM's Hadoop based platform Infosphere Biginsight ...

Scale out will be the future enterprise architecture

From an enterprise IT architecture, especially for Web2.0 sites, scalability must be considered: the ability to expand IT systems in a timely manner as the number of users increases. There are usually two ways to solve this problem: Scale up and Scale out, and two modes of expansion address database pressures from two dimensions. Scale out (scale-out): literally, Scale out uses increased computing power by adding processors and adding independent servers. Refers to the enterprise ...

Profiling Cloud Computing Datacenter Architecture

For cloud computing, focus should be on improving the data processing capabilities of cloud computing data centers from such infrastructure areas as high-end servers, high-density low-cost servers, mass storage devices, and high-performance computing devices. Cloud computing requires good resiliency, scalability, automation, data mobility, multi-tenant, space efficiency, and support for virtualization. So what should be the architecture of the data center infrastructure in the cloud computing environment? 1, Cloud computing data center overall architecture cloud computing architecture is divided into service and management of two parts. In terms of services, mainly to provide users with a variety of cloud based ...

Data Center architecture under cloud computing

Currently the most interesting it concept is not "cloud computing", cloud computing has become today's IT industry and even the world business most relish a new concept. Cloud computing refers to the use of large-scale data centers or supercomputer clusters, using the Internet to provide computing resources free or on-demand rental to users. One important application of cloud computing is the provision of cloud computing data centers by Third-party agencies and the remote sharing of cloud computing applications for a large number of SMEs. So that these enterprises do not need to build their own data centers can use the required computing resources to achieve the best cost ...

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