MapReduce

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 point failure. Figure 1 MapReduce Working IV. METHODOLOGY/ALGORITHM . The action rules discovery is done using the LERS algorithm. Table

Building blocks of Machine learning: Mahout and Spark Machine learning is the new boom in software industry which helps in training the computer to think, organize and process data by itself. The main intent of machine learning is that machine learns to observe data, extract important information from it and grasp on its own to predict, recommend or alter any action without any human mediation. This requires various algorithms over varied systems. For the ease of these algorithms, Apache has come

solving, decision making and Organizational skills WORK EXPERIENCE Hadoop Developer VINMATICS- ON - January 2017 to Present Responsibilities: • Involved in creating Hive Tables, loading with data and writing Hive queries which will invoke and run MapReduce jobs in the backend. • Wrote the Map Reduce jobs to parse the web logs which are stored in HDFS. • Importing and exporting data into HDFS and HIVE using Sqoop. • Involved in working with Impala for data retrieval process. • Experience in partitioning

Conceptual evolution of sharing from being a simple shared mainframe access in 1950’s to a much complex share of resources hosted over the internet, coined as Cloud Computing in the 21st century. With Cloud Computing users are provided access to shared resources, information and software on demand. It caused a paradigm shift from a traditional “own to use it” to a modern “lease to use it” on demand. A user can access such resources without having the knowledge about the infrastructure,

The couchbase data storage becomes clear when we look at the reasons of why some companies use Couchbase instead of other servers. For instance, LinkedIn has chosen Couchbase to handle the big number of users that is around 225 million members around the world. Couchbase has features like scalability of high data and access availability that the company needs for logging, monitoring and analyzing the activities of their big users. At first LinkedIn used Memcached to store their data, but found that

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,

Abstract— In today 's time it is very difficult to get a job which adapts to your skill and also on the other hand the employers have a long process of multiple interviews which does not gives them concise results after this process. To resolve this tedious process, we have proposed the predictive analysis recruitment model which will implement a new methodology that will improve the accuracy of commissioning. In this paper, with using knowledge base, we will propose a model for designing a system

Introduction Data storage and management technologies have recently begun to surge in popularity. Businesses want to learn how to implement the best ways to store, maintain, capitalize on the copious amounts of data that their products, consumers, services, etc. generate. With that being said, organizing and measuring data has proven to be quite difficult despite present-day technological innovations. The term “Big data” has emerged and Apache Hadoop, or Hadoop, technology uses a set of algorithms

get the most value from the investments in BigData, analytics, and enterprise applications, governance-based frameworks need to be defined that align these systems to specific strategic objectives (McKendrick, 2012). The advent of Hadoop, H-Base, MapReduce and other data analysis and aggregation platforms and applications only become relevant in the context of strategic goals and their accomplishment (Rogers, 2011). That is why more

The seemingly exponential growth of the Internet has resulted in a largely unforeseen increase in the type, frequency and variety of cyber attacks[20]. These attacks can be very expensive and difficult from which to recover. Because of this there is a need to know what traffic should be permitted and what is malicious[22]. To this end there are many well known cyber-security solutions are in place to counteract these attacks such as firewalls, anti-virus software and IDS (Intrusion Detection System)