Taking a Look at the HDFS File System

HADOOP DISTRIBUTED FILE SYSTEM Abstract - Hadoop Distributed File System, a Java based file system provides reliable and scalable storage for data. It is the key component to understand how a Hadoop cluster can be scaled over hundreds or thousands of nodes. The large amounts of data in Hadoop cluster is broken down to smaller blocks and distributed across small inexpensive servers using HDFS. Now, MapReduce functions are executed on these smaller blocks of data thus providing the scalability needed

data generated is structured, semi structured and unstructured. Structured data is any data which can be stored, accessed and processed in fixed format like tables etc. UnStructured Data is any data with unknown form or structure like audio files, video files and images etc. Processing of this unstructured data is difficult. Semi Structured Data is that contains both the forms of data like blogs, emails. Velocity Velocity defines how fast

SECURITY ISSUES IN HADOOP SERVICES 10 Security Issues in Hadoop Services Jogendra Chowdari Achanta Adv Web App Using Web Services - CS 525 Professor Kihyun Kim 04/10/2016 Running head: SECURITY ISSUES IN HADOOP SERVICES 1 Abstract Big Data is creating great opportunities for businesses, companies and many large scale and small scale industries. Hadoop is an open-source cloud computing and big data framework, is increasingly used in the IT world. The rapid growth of Hadoop and Cloud Computing

Because of this classification of data becomes even more important. Techniques such as encryption, logging, and security measures are required for securing this big data. Usage of the Big data for fraud detection looks very interesting and profit making for many organizations. Big data style analyzing of data can solve the problems like advanced threats, cyber security related issues and even malicious intruders. With the use of more sophisticated pattern analysis

customers for future requirement. Because of this classification of data becomes even more important. Techniques such as encryption, logging, and security measures are required for securing this big data. Usage of the Big data for fraud detection looks very interesting and profit making for many organizations. Big data style analyzing of data can solve the problems like advanced threats, cyber security related issues and even malicious intruders. With the use of more sophisticated pattern analysis

would be appropriate to have a quick look at the data warehouse history and architectural framework and how ICICI Bank’s data warehouse has evolved over the years. Back in 2008 ICICI Bank used Teradata and was dependent on Teradata for its data warehouse. Back in those days the size of the data warehouse was 3TB. Because of the dramatic growth in the amount of data, user population and the source stations coupled by cost of scaling and maintenance as well as system availability, posed a problem for

would be appropriate to have a quick look at the data warehouse history and architectural framework and how ICICI Bank’s data warehouse has evolved over the years. Back in 2008 ICICI Bank used Teradata and was dependent on Teradata for its data warehouse. Back in those days the size of the data warehouse was 3TB. Because of the dramatic growth in the amount of data, user population and the source stations coupled with cost of scaling and maintenance as well as system availability,posed a problem for

EVALUATING BIG DATA University Of Central Missiouri Department of Computer Information Systems Date: 6/ Submitted by: Udayender Reddy SingiReddy 700# 700629634 uxs96340@ucmo.edu CHALLENGES IN EVALUATING BIG DATA ABSTRACT This article discusses firms that are at the leading edge of developing a big data analytic capability. Business firms and other types of organizations are feverishly exploring ways of taking advantage of the big data phenomenon. Big data is increasingly the cornerstone on which

CHALLENGES IN EVALUATING BIGDATA ABSTRACT. This article discusses firms that are at the leading edge of developing a big data analytics capability. Business firms and other types of organizations are feverishly exploring ways of taking advantage of the big data phenomenon. Big data is increasingly the cornerstone on which policy making is based. Firms that are currently enjoying the most success in this area are able to use big data not only to improve their existing businesses but to create new

Assignment No: 1 Title : Review of proposed design and necessary corrective action is taking to consider and submit publication/presentation details with review report. Objectives : 1. Constructing a semantic taxonomy for the land-cover classification of satellite images. 2. Classifying satellite images according to their types such as vegetation, building, water etc. 3. Implementing MapReduce for processing large amount of data (Satellite Images). Introduction : Satellite images play a major