Ebay’s big data solution | Computer Science homework help

2- 3 pages EPA Title enactment. 

The deliverefficacious succeed be an APA title tractate consisting of 2-3 pages (yet cloak, TOC & References pages) after a while the aftercited Tefficacious of contents:
+ Abstract
+ Context and Background Information
+ Identification of the Main Issues/ Problems
+ Segregation of the Issues
+ Questions Answers
+ References

Here is the Contingency Study at  below scarcitys to be analyses and than 2,5 pages scarcitys to transcribe!! after a while APA title!!   

eBay is the world’s largest onoutline marketplace, enabling the buying and vending of indeed fullthing. Founded in 1995, eBay connects a severed and passionate co-ordination of indivisible buyers and venders, as polite as minute employmentes. eBay’s political collision on e-commerce is staggering: In 2012, the aggregate estimate of chattels sold on eBay was $75.4 billion. eBay currently serves aggravate 112 favorite locomotive users and 400+ favorite items for sale.

The Challenge: Supporting Axioms at an Extreme Scale

One of the keys to eBay’s marvelous endment is its power to metamorphose the prodigious volumes of axioms it generates into availefficacious insights that its customers can assemble quickly from the pages they recurrent. To decide eBay’s explosive axioms growth—its axioms lifes effect billions of deciphers and transcribes each day—and due to the increasing call-for to course axioms at chafing speeds, eBay scarcityed a separation that did not own the usual bottlenecks, scalpower issues, and transactional constraints associated after a while low psychical axiomsbase approaches. The congregation too scarcityed to effect speedy segregation on a wide classification of the structured and unstructured axioms it enthralled.

The Solution: Integrated Real-Time Axioms and Analytics

Its Big Axioms capabilitys brought eBay to NoSQL technologies, specifically Apache Cassandra and DataStax Enterprise. Along after a while Cassandra and its eminent-velocity axioms capabilities, eBay was too drawn to the integrated Apache Hadoop analytics that succeed after a while DataStax Enterprise. The separation incorporates a scale-out erection that enables eBay to deploy multiple DataStax Enterprise throngs opposing sundry incongruous axioms lifes using staple hardware. The end development is that eBay is now efficacious to over require effectively course vast amounts of axioms at very eminent speeds, at very eminent velocities, and end far over than they were efficacious to after a while the eminenter require proprietary arrangement they had been using. Currently, eBay is managing a sizefficacious member of its axioms life scarcitys—250TBs+ of storage—in Apache Cassandra and DataStax Enterprise throngs.

Additional technical factors that played a role in eBay’s sentence to deploy DataStax Enterprise so widely comprise the separation’s direct scalability, eminent availpower after a while no unique subject-matter of scarcity, and uncollected transcribe effectance.

Handling Severed Use Cases

eBay employs DataStax Enterprise for manifold incongruous use contingencys. The aftercited examples paint some of the ways the congregation is efficacious to converge its Big Axioms scarcitys after a while the extremely accelerated axioms handling and analytics capabilities the separation affords. Naturally, eBay experiences vast amounts of transcribe commerce, which the Cassandra implementation in DataStax Enterprise handles over efficiently than any other RDBMS or NoSQL separation. eBay currently sees 6 billion+ transcribes per day opposing multiple Cassandra throngs and 5 billion+ deciphers (mainly offline) per day as polite.

One use contingency befriended by DataStax Enterprise involves quantifying the collective axioms eBay displays on its work pages. The Cassandra classification in DataStax Enterprise stores all the declaration scarcityed to afford counts for “like,” “own,” and “want” axioms on eBay work pages. It too affords the similar axioms for the eBay “Your Favorites” page that contains all the items a user likes, owns, or wants, after a while Cassandra serving up the whole “Your Favorites” page. eBay affords this axioms through Cassandra’s scalefficacious counters mark.

Load balancing and contact availpower are essential aspects to this point use contingency. The DataStax Enterprise separation gave eBay contrivers the flexibility they scarcityed to scheme a arrangement that enables any user ask to go to any axioms life, after a while each axioms life having a unique DataStax Enterprise throng spanning those lifes. This scheme mark helps counterpoise the incoming user arraign and eliminates any potential browbeating to contact downtime. In decomposition to the outoutline of employment axioms powering the Web pages its customers investigate, eBay is too efficacious to effect eminent-speed segregation after a while the power to adhere-to a severed axioms life floating Hadoop nodes of the similar DataStax Enterprise ring (see Figure 7.7).

Description

Another use contingency involves the Hunch (an eBay sister congregation) “taste graph” for eBay users and items, which affords customer recommendations naturalized on user interests. eBay’s Web plight is essentially a graph between all users and the items for sale. All events (bid, buy, vend, and inventory) are enthralled by eBay’s arrangements and stored as a graph in Cassandra. The contact sees over than 200 favorite transcribes daily and holds over than 40 billion pieces of axioms.

eBay too uses DataStax Enterprise for manifold spell-series use contingencys in which courseing eminent-volume, real-spell axioms is a eminentest guidance. These comprise movable declaration logging and tracking (full spell eBay sends a declaration to a movable phone or cognizance it is logged in Cassandra), deprivation competition, SOA ask/response payarraign logging, and RedLaser (another eBay sister congregation) server logs and analytics.

Across all of these use contingencys is the low capability of uptime. eBay is acutely apprised of the scarcity to retain their employment up and disclosed for employment, and DataStax Enterprise plays a key disunite in that through its food of eminent availpower throngs. “We own to be easy for depression regaining all the spell. It’s indeed noticeable that Cassandra allows for locomotive-locomotive multiple axioms lifes where we can decipher and transcribe axioms anywhere, anytime,” says eBay contriver Jay Patel.

Questions for Discussion 

  1. Why did eBay scarcity a Big Axioms separation?
  2. What were the challenges, the incomplete separation, and the obtained developments?
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