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Forrester Wave Report

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In the recent Forrester wave reports, the open source MongoDB cloud is named a leader among the pack of Big Data NoSQL offerings. The survey was conducted by Forrester research Inc. over 15 vendors in its Q3 2016 Forrester Wave report. In the reports, MongoDB received the highest scores in 19 criteria involving support, tools, performance, execution ability, scalability and roadmap.

NoSQL technology offers the flexibility and support to unstructured, semi-structured and structured data for numerous types of business applications. The Forrester report suggested MongoDB as the most popular open source NoSQL database because it is easy to use, meets the requirements of most demanding applications and offers the most comprehensive tools and partners. The leading open source MongoDB boasts of more than 2000 paying customers and more than half of the Fortune 100 companies including companies UPS i-parcel, Expedia, Comcast, AXA, Barclays, Sprinklr, The Washington Post and DHL. …show more content…

The company helps retail customers to grow their business globally while relieving them from managing the complexity of shipping, custom duties, and currency versions. The vice president of technology at UPS i-Parcel, Yursil Kidwai stated,"MongoDB delivers the flexible platform to help us meet our customers' requirements for real-time transaction data to enable higher shopping cart conversion rates". According to the Forrester reports, personalization, Internet of things, Products catalogs and asset catalogs, content management and collaboration applications are the most popular use cases for MongoDB database

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Hadoop [8] is an open source implementation of MapReduce programming model which runs in a distributed environment. Hadoop consists of two core components namely Hadoop Distributed File System (HDFS) and the MapReduce programming with the job management framework. HDFS and MapReduce both follow the master-slave architecture. A Hadoop program (client) submits a job to the MapReduce framework through the jobtracker which is running on the master node. The jobtracker assigns the tasks to the tasktrackers running on many slave nodes or on a cluster of machines.

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Prevalent storage choices include the S3 (Amazon Simple Storage Service), EBS (Elastic Block Store) and Amazon CloudFront. Amazon Simple Storage Service offers Web Service based storage and it is a totally redundant storage offering that can process any amount of data at anytime and anywhere on the Web. It can be used for backup, record and calamity recovery, and content storage, allocation and data analysis storage. S3 is current as part of the free Amazon Elastic Compute Cloud (EC2) tier service for 5GB of storage, 20,000 Get Needs or 5,000 Put Needs per month.

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Sqoop: A project for transferring/importing data between relational databases and Hadoop. Oozie: An orchestration and work flow management for dependent Hadoop jobs. Figure 2 gives an overview of the Big Data analysis tools which are used for efficient and precise data analysis and management jobs. The Big Data Analysis and management setup can be understood through the layered structured defined in the figure. The data storage part is dominated by the HDFS distributed file system architecture and other architectures available are Amazon Web Service, HBase and Cloud Store etc.

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• With CloudWatch Logs, logs can be monitored, in near real time, for specific phrases, values or patterns. For example, an alarm can be set on the number of errors that occur in the system logs or view graphs of latency of web requests from the application logs. We can then view the original log data to see the source of the problem. • Log data can be stored and accessed indefinitely in highly durable, low-cost storage. • The data can be accessed directly, as text and numerical output that can then be analyzed or manipulated, or viewed in more mediated formats, such as graphs.

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