View of security information superhighway era of e-business networks Arts and Entertainment Network

View of security information superhighway era of e-business networks Arts and Entertainment Network Technology Workshop Announcements News Hardware News Software News World News Iran share common archive file sharing hazop fortnightly products products products online magazine publisher hazop Buying Guide Contact hazop Us sales representative about the magazine echoed comments on Read and post articles published fortnightly cooperation under copyright
Some time ago I read in the news that a second version Hadvp (Hadoop) was publicly released. I was sure that the software currently does not have any use for me. However hysteria, it got closed almost 150 megabytes and the time I spent on that curiosity. Those who are familiar hazop with the concept of Big Data and the related hazop activity, or at least something called, is unlikely in the corner as time Hadvp is not heard. Speaking of massive data. It is not to archive them. This is done by placing them on the tape and do not have to be done. Many large companies who require a lot size of your data, which are also rising fast, easy to store and them access to the purposes constantly of the to use. Hadvp This lets you grow your data, simply add more servers to the cluster Hadvp, the amount of data you want, in any form that you need to save. This type of data storage Hadvp was very costly and expensive. Thanks to Hadvp, it cost a tremendous amount hazop of dropped it more exciting, valuable software, including hazop advanced and high-level Apache projects, like so many others software, projects of the Foundation formidable, Avpnsvrs is free and. The reason is that large organizations such as Apple, Amazon, Facebook, AOL, eBay, HP, Ntflyks and ... Have used it in their contracts. A few months ago Hadvp 2 beta began his career with the introduction and from then on, the development team has been hard at work on it. The result of such effort recently started a public offering of version 2.2.0, hazop has been confidently claim that the processing times are only able to respond to pressure, but also to do this, shall fulfill in such a way the future products and approaches are compatible and its ecosystem to grow and expand in the future. Changes in Version 2 have more than one version upgrade. In fact, a number of improvements, changes Hadvp generation architecture is considered. MapReduce layer file system HDFS (acronym Hadoop Distributed File System) in the first version, replaced cluster resource management systems YARN (acronym Yet Another Resource Negotiator) has a much stronger platform Hadvp to convert its status from Batch processing software has a "data integration" has been upgraded. Using HDFS and MapReduce can store data in any way is the only algorithm that can generally be used in parallel for batch processing of data. It was too limiting and may not meet the requirements. While calling for users to interact with data differently and have different approaches. In the second version, MapReduce is only one of many options to choose from, among other approaches. HDFS also done a lot of work on yourself to Mqyaspzyrtr, hazop is more efficient and reliable. Using YARN, allowing interaction with the data restricted to one method over the other HDFS2 not be done in several ways. For example, hazop you can automatically batch processing using MapReduce, data streams hazop or RealTime Streaming Storm and S4 using interactive SQL queries using Hive and run the engine Tez, online processing using HBase, hazop processing and memory Spark and social networks using graph processing using Giraph did. More than a dozen existing projects, will run on this platform and dozens of other projects that number will be added soon. Cloudera and Hortonworks Hadvp's two largest developer, two different approaches have been developed to provide Hadvp. The first is the possibility of running queries SQL with low latency on the data stored on HDFS provides and the second on the Hive works for matters relating to the storage of data (Data Warehouse) as running queries, long with lots of different kinds of join the best option. Despite these fundamental changes in the architecture, as well as compatibility with Version 1 has been maintained and current users can Hadvp B