The Application Of The Apache Hadoop Open Source Database...

This paper will outline and describe three vendors that provide the Hadoop NoSQL database program to enterprises. Each of these companies see themselves as uniquely different, thus positioning themselves within a market place that has begun to become highly competitive in the â€Å"Big Data† age. I will provide an outline of the talking points that will be discussed for each company, starting with a brief description of the Hadoop NoSQL open-source database program, then I will discuss each company on the evaluation categories, and conclude with options for whether to move forward with either of these vendors. After the conclusion the reader will have the information on these vendors and the confidence to be able to decide on which choice would be best for the business. The Apache-Hadoop open-source program that provides a layer of software that can turn a grid of servers into a single unit has become known as NoSQL, or Not-Only SQL database. It provides a parallel storage and processing framework to run MapReduce, an application module that runs in two phases, first mapping data then reducing or transforming it. Using the HDFS or Hadoop Distributed File System, huge data sets are spread across servers, thus enabling programmers to write application modules and run them in parallel on the same cluster that stores the data, thus using the power and capacity of all the CPUs and hard drives. The advantage of Hadoop is that it processes large amounts of data in seconds, oneShow MoreRelatedAnalyzing Hadoop Framework Is A Solution For Big Data Problem1056 Words   |  5 PagesAbstract—Hadoop framework is a solution for big data problem. In a large cluster, thousands of servers both host directly attached storage and execute user application tasks. Big data is only not about storing the data, it is also about execution and analyzing of data. Keywords— Hadoop, big data, Map Reduce, Name node, Task tracker. I. INTRODUCTION â€Å"Hadoop† it is not a language or technology, it is a frame developed by Yahoo and maintained by apache for big data problem. Data in the web, internetRead MoreChallenges Faced With Big Data1731 Words   |  7 Pagesresearch must be done on how to intelligently filter raw data acquired from different sources without missing useful information. Generation of right metadata (data about data) is also a challenging task because it is the metadata that describes data and its recording procedure. It also necessary for correct interpretation of result. Security and privacy issues while sharing data and susceptible ever growing public databases. Security and privacy concerns are growing as big data becomes more and more accessibleRead MoreSuccessful Users And Leaders Of Big Data1144 Words   |  5 Pagesin the area of customer loyalty, marketing, and service. It has data about its customers from its Total Rewards loyalty program, web clickstreams, and from real-time play in slot machines. To meet the challenging of collecting and analyzing real-time customer data, while the customer is still playing at a slot or at the resort, Caesars has acquired Hadoop clusters and open-source and commercial analytics software. Caesars leverages video analytics and mobile analytics to employ more automated meansRead MoreBig Data Essay1220 Words   |  5 Pagesin a format thats easy to understand by the machine and easily searchable by applying some basic algorithms. Example:phone number, spreadsheet. Unstructured data: This type of data is like human language which will not fit nicely into relational database like SQL. Example: emails,text documents(PDF,word docs,etc).How big can be data. Let me explain this by taking an example of photos, suppose in a family there are 4 member and each member have storage of 2gb(gigabytes) in 2011 and in 2017 the sameRead MoreInvestigation Into An Efficient Hybrid Model Of A With Mapreduce + Parallel Platform Data Warehouse Architecture Essay1954 Words   |  8 Pagesskotturi@uncc.edu Abstract—Parallel databases are the high performance databases in RDBMS world that can used for setting up data intensive enterprise data warehouse but they lack scalability whereas, MapReduce paradigm highly supports scalability, nevertheless cannot perform as good as parallel databases. Deriving an architectural hybrid model of best of both worlds that can support high performance and scalability at the same time. Keywords—Data Warehouse; Parallel databases; MapReduce; Scalability IRead MoreAltiscale-Technology : The Future Of The Internet1349 Words   |  6 Pagesthe main cloud reason worked for Apache Hadoop, and additionally the operational aptitude expected to execute complex Hadoop ventures. The Altiscale group has been on the bleeding edge of Apache Hadoop – from its hatching at Yahoo to working more than 40,000 Hadoop hubs. As an organization that comprehends both the transformative energy of this innovation and its difficulties, no other association is better situated to convey dependable and versatile Apache Hadoop. Datatorrent - Analytics For loadsRead MoreEssay On Data Processing1229 Words   |  5 Pages10hrs/min), - Enterprise (10B videos watched / mo.), - Digital photos (500 billion / year), - Netflix (70,000TB / year), - Google Web map (2.5trillion links,500TB compressed, 9PB disk), - Medicare (4-50TB uncomp.) MapReduce is a framework, and not a program, used to process data in parallel across many machines. MapReduce model derives from the map and reduce functions from a functional programming language. In any Framework, a map takes as input a function and a sequence of values/lists. It then appliesRead MoreHow The Technology Behind Mmorpg Or Mmo Works Is That It Runs On Client Technology And Server Technology2377 Words   |  10 Pagesbehind MMORPG Description of how the technology behind MMORPG or MMO works is that it runs on Client Technology and Server Technology. Client technology will typically refer to the player’s computer systems i.e. laptop/desktop/phones/phablets and the program that runs on your computer. Server technology will be the one where all datas and the process calculation is stored/processed and the machine that players connect to when they’re ready to play. Client side of the technology, it is a combinationRead MoreSurvey On Graph Databases : Graph Database3635 Words   |  15 PagesSurvey on graph databases XIAOTONG FU Informatics, University of Edinburgh Abstract. Graph databases, also called graph-oriented database, is a type of not only SQL (NoSQL) database based on graph theory that can store, map and query data relationships. Because this kind of database ensures its robust performance in processing graph-like data, it has been widely used in industry, for instance, Facebook and Twitter are using graph databases to store and analyze their user proles. This paper re- viewedRead MoreDifferent Aspects Of The Mapreduce Framework5715 Words   |  23 Pagesand analysis applications running on the framework. The features help to optimize the communication cost and that is very important for distributed computing. MapReduce framework is usually implemented as Hadoop systems. Other than Hadoop, MPI library is required for implementation of MapReduce framework (Tannir, 2014). A MapReduce library may have programs written in different programming languages and can offer different levels of optimization. Apache Hadoop is such an open source implementation