Hadoop

What is MongoDb? MongoDB (from humongous) is a free and open-source cross-stage record situated database program.which is Named a NoSQLdatabase program, MongoDB utilizes JSON-like reports with mappings. MongoDB is produced by MangoDb Inc. what's more, is free and open-source, distributed under a blend of the GNU Affero Overall population Permit and the Apache Permit. Primary components • Ad hoc questions • Indexing • Replication • Load adjusting • File stockpiling • Aggregation

IV. CHALLENGES WITH BIG DATA Already some success is achieved from big data in some fields like Sloan digital sky survey so it’s mean there is some potential in big data and benefits are also real but still some challenges like scalability, heterogeneity, integration, privacy, security etc. need to be addressed for realizing full potential of big data. One of the major challenge is transformation of unstructured data to structured form for accurate and timely processing. Challenges with big data

name node. The name node also knows where the data that is supplied to the data node has gone redundantly to the other data node. Therefore the job still goes to completion even though a couple of data nodes fail in the big data processing. Since the Hadoop MapReduce framework is master-slave architecture there is a chance of single point failure. The single point failure occurs when the name node itself fails. In that case there is also a presence of secondary name node that place in the event of single

CS6350 Big data Management Analytics and Management Summer 2015 Homework 1 In this homework you will learn how to solve problems using Map Reduce. Please apply Hadoop map-reduce to derive some statistics from Yelp Dataset. You can find the dataset in elearning. Copy the data into your hadoop cluster and use it as input data. You can use the put or copyFromLocal HDFS shell command to copy those files into your HDFS directory. In class there will be brief demo/ discussion about that. Dataset

volumes of data. This study is focused on HBase database which is a column-oriented NoSql database. HBase is Apache’s open source database that is modeled after Google’s BigTable technology. It uses Java as the API and is developed on top of the Hadoop distributed file system (HDFS) to store and process large quantities of data, maintaining reliability and fault tolerance. This database is being used by many big enterprises including Facebook, Twitter and Yahoo to store and process large quantities

Many researchers have proposed various methodologies for finding best solution. J. Ross Quinlan. In machine learning community, the decision tree algorithms, Quinlan’s ID3 and its successor C4.5: Programs for machine learning are probably the most popular. The various issues related to decision tree are discussed from the initial state of building a tree to methods of pruning, converting trees into rules and handling other problems such as missing attribute values. Apart from that

Secure Cloud Computing Platform for History Data Mining of Traffic Information Mutaher Kashif Mohammad Abstract – Real-time traffic information network produces monstrous traffic information with the procedure of gathering the real-time unique transportation information, transforming the GPS (Global Positioning System) information and distributed real-time movement data, which would bring a few issues when we reuse this gigantic traffic information

RDDs facilitates the implementation of both iterative algorithms that visit their dataset multiple times in a loop, and exploratory data analysis, which is the querying of data repeatedly. The latency of applications builds with spark compared to Hadoop, a MapReduce platform may be reduced by several orders of magnitude. [3] Another key aspect of apache spark is that it makes writing code easy and quickly. This is as a result of over 80 high level operators included in with spark library. This is

STATEMENT OF PURPOSE “The more I read, the more I acquire, the more certain I am that I know nothing”.  These words by Voltaire, describe my first rendezvous with Computer Science when I entered the computer lab in my 3rd grade at school. Simple commands making a turtle move on the screen in the LOGO programming environment amazed me. I thought about the different permutations that could create something new each time. Little did I know that this subject would transform into an in-depth interest

1. Introduction Over the years, computing concepts changing from distributed to parallel to grid to cloud computing. The evolution of computing is shown in Figure 1. Now a day, people choose cloud computing because of the advantages they get from cloud computing. The advantages are scalability, reduced management efforts, on-demand resource allocation and flexible pricing model (pay-as-you-go). Cloud computing has three service models: Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS)