2- 3 pages EPA Style assignment. The deliverable will be an APA style paper consisting of 2-3 pages (excluding cover, TOC & References pages) with the following Table of contents: + Abstract + Context and Background Information + Identification of the Main Issues/ Problems + Analysis of the Issues + Questions Answers + References Here is the Case Study at below needs to be analyses and than 2,5 pages needs to write!! with APA style!! eBay is the worlds largest online marketplace, enabling the buying and selling of practically anything. Founded in 1995, eBay connects a diverse and passionate community of individual buyers and sellers, as well as small businesses. eBays collective impact on e-commerce is staggering: In 2012, the total value of goods sold on eBay was $75.4 billion. eBay currently serves over 112 million active users and 400+ million items for sale. The Challenge: Supporting Data at an Extreme Scale One of the keys to eBays extraordinary success is its ability to turn the enormous volumes of data it generates into useful insights that its customers can glean directly from the pages they frequent. To accommodate eBays explosive data growthits data centers perform billions of reads and writes each dayand due to the increasing demand to process data at blistering speeds, eBay needed a solution that did not have the typical bottlenecks, scalability issues, and transactional constraints associated with common relational database approaches. The company also needed to perform rapid analysis on a broad assortment of the structured and unstructured data it captured. The Solution: Integrated Real-Time Data and Analytics Its Big Data requirements brought eBay to NoSQL technologies, specifically Apache Cassandra and DataStax Enterprise. Along with Cassandra and its high-velocity data capabilities, eBay was also drawn to the integrated Apache Hadoop analytics that come with DataStax Enterprise. The solution incorporates a scale-out architecture that enables eBay to deploy multiple DataStax Enterprise clusters across several different data centers using commodity hardware. The end result is that eBay is now able to more cost effectively process massive amounts of data at very high speeds, at very high velocities, and achieve far more than they were able to with the higher cost proprietary system they had been using. Currently, eBay is managing a sizable portion of its data center needs250TBs+ of storagein Apache Cassandra and DataStax Enterprise clusters. Additional technical factors that played a role in eBays decision to deploy DataStax Enterprise so widely include the solutions linear scalability, high availability with no single point of failure, and outstanding write performance. Handling Diverse Use Cases eBay employs DataStax Enterprise for many different use cases. The following examples illustrate some of the ways the company is able to meet its Big Data needs with the extremely fast data handling and analytics capabilities the solution provides. Naturally, eBay experiences huge amounts of write traffic, which the Cassandra implementation in DataStax Enterprise handles more efficiently than any other RDBMS or NoSQL solution. eBay currently sees 6 billion+ writes per day across multiple Cassandra clusters and 5 billion+ reads (mostly offline) per day as well. One use case supported by DataStax Enterprise involves quantifying the social data eBay displays on its product pages. The Cassandra distribution in DataStax Enterprise stores all the information needed to provide counts for like, own, and want data on eBay product pages. It also provides the same data for the eBay Your Favorites page that contains all the items a user likes, owns, or wants, with Cassandra serving up the entire Your Favorites page. eBay provides this data through Cassandras scalable counters feature. Load balancing and application availability are important aspects to this particular use case. The DataStax Enterp…
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