HBase

Hadoop is a great data storage choice and Hadoop Distributed File System (HDFS) or Hive is often used to store transactional data in its raw state. The map-reduce processing supported by these Hadoop frameworks can deliver great performance, but it does not support the same specialized query optimization that mature relational database technologies do. Improving query performance, at this time, requires acquiring query accelerators or writing code. Every company who chose to use Hadoop needs to optimize

Introduction Since the 1970’s databases and report generators have been used to aid business decisions. In the 1990’s technology in this area improved. Now technology such as Hadoop has gone another step with the ability to store and process the data within the same system which sparked new buzz about “big data”. Big Data is roughly the collection of large amounts of data – sourced internally or externally - applied as a tool – stored, managed, and analyzed - for an organization to set or meet

For the challenges we are facing be it technical or functional we find a NoSql data base as a best fit. We found out that NoSql incorporates a wide mixed bag of various database technologies and were produced in response to the rising data needs. Also when in comparison to the RDBMS present in the market NoSql provides an enriched performance and better scalability solutions. So in search of the best fit as our solution we searched out various types of NoSql database types and found out about Document

Abstract—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 “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, internet

There are many vendors that are using Hadoop technology to improve their business but in this paper I will be talking about only three of them, such as Amazon Web Services Inc (AWS), Pivotal Corp and Datastax Inc. AWS own and maintain the network-connected hardware required for these application services, while you provision and use what you need via a web application. AWS is a provider of cloud computing, which refers to the on-demand delivery of IT resources and applications via the Internet with

Study of Hbase-A NonSql Database Abstract: With the expansion of the internet, there has been an exponential growth in the data being collected from various social media, searching patterns and online transactions. This rapid growth of data has become difficult to be handled by relational database, thus they have been replaced with NoSql databases. The NoSql databases are distributed databases that have the ability to store and process large volumes of data. This study is focused on HBase database

FACING THE DATABASE CONUNDRUM SQL, HBASE, HIVE, OR SPARK: WITH THE SATURATION OF THE ENVIRONMENT WHICH DO YOU CHOOSE SAMANTHA MOHR UNIVERSITY OF MARYLAND UNIVERSITY COLLEGE SPRING 2015 ABSTRACT There is currently a conundrum facing experts in the field of Big Data. The struggle is the ability to perform large-scale data analysis and the impracticality of using relational database processing languages to handle the information that is collected/processed. Specifically, the growth of data,

Successful users and leaders of Big Data: Over the last decade, organizations thriving on their competition by leverage analytics as the tool for their business decisions. Big Data technologies have enabled businesses to get insights that make them competitive. Following are some of the companies who have performed much better, even in the recession era, in their verticals by leverage Big Data. UPS: UPS tracks data on 16.3 million packages per day for 8.8 million customers, with an average of 39

com • Over all 4 years of IT experience in analysis, design and development using Hadoop, Java and J2EE. • 3+ years' experience in Big Data technologies and Hadoop ecosystem projects like Map Reduce, YARN, HDFS, Apache Cassandra, Spark, NoSQL, HBase, Oozie, Hive, Tableau, Sqoop, Pig, Storm, Kafka, HCatalog, Zoo Keeper and Flume • Excellent understanding / knowledge of Hadoop architecture and various components such as HDFS, Job Tracker, Task Tracker, Name Node, Data Node and Map Reduce programming

report basically describes the process of design NoSQL systems for data persisence and implementation of design and the solution of tasks that we are required. The dataset we worked with is a music dataset from lastfm and the designs for MongoDB, HBase and Neo4j are based on the dataset features and given queries. The implementation includes creating databases, setting up the schema and running queries, followed by testing the performance. There are also iteration designs for each system in order