googlylit-blog

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Data Center Physical Security

Google has controls and practices to protect the security of customer information. The layers of the Google application and storage stack require that requests coming from other components are authenticated and authorized. Access by production application administrative engineers to production environments is also controlled.The layers of the Google application and storage stack require that requests coming from other components are authenticated and authorized.

Source: https://cloud.google.com/security/

Harrison Bennett 

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Ad Network Threats

Google’s ad network business is under great threat now that Facebook Audience Network has come out globally. FAN, which by early accounts is performing well, allows marketers to harness all of the audience targeting available through Facebook and use it to target ads on mobile apps outside of Facebook. The ad formats available are banner, interstitial and yes, native. Amazon it rumored to be working on its own AdWords competitor that would displace the Google ads that run on Amazon.com and perhaps include an ad network. Amazon would presumably give advertisers audience targeting capabilities based on its unmatched vault of consumer product search and purchasing data.

Source:http://www.pcworld.com/article/2912092/googles-push-to-encrypt-ads-will-improve-security-but-wont-kill-malvertising.html

 Harrison Bennett

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Search Engine Scuffle

By Harrison

The company competition stretches from the cloud service providing to the search engines themselves. Bing, a more recent competitor to Google bought out the previous Google competitor Yahoo. Though a competitor, the trends and numbers say that the reality of Bing and Yahoo is that they are used primarily when Googles services are down, and that Google maintains its place as the worlds favorite reliable search engine.

http://www.investopedia.com/articles/investing/070915/google-vs-bing-vs-yahoo-search-engine-wars.asp

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Clash of Clouds

By Seth Ouk

Though Google does provide a spectrum of services, most popularly being in search engine reliability, it doesn’t maintain the reality of being the first or the best for them. Google Drive, the file sharing technology that google uses works very similarly to Dropbox. Dropbox was founded in 2007 when Drew Houston needed a service to keep his files on without having to use a USB to transfer info between computers. Google Drive launched in 2012 as a service for businesses and corporations to file-share in a similar pretense, though with a focus on catching the interest of business. Though many today use both, many prefer Dropbox with its speed and reliability, two avenues that Drive can’t quite catch up with.

https://www.cloudwards.net/dropbox-vs-google-drive/

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Google’s Offered Big Data Services

Written by, Seth Ouk

Google offers no waiting on Big Data services when it comes to changing on how individuals or businesses analyze and use the data. Previous consumers have rated Google tools on their performance because what use to take hours or days now takes minutes and seconds. From Google now utilizing these services for Big Data purposes has resulted in more value, insights, and now is realized by more consumers and businesses. These powerful data tools unlocks big data to an entire organization and can bring the data directly to the people who are running the business, since the find and create the insights of value. For example, Google Cloud services provides learning systems that helps data power an organization.

https://cloud.google.com/solutions/media/

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Pricing on Google’s Big Data

Written by, Seth Ouk

Google has many different products set up that has some pricing that revolves around smart organizations with Big Data. Google’s technological structure is built to compute workloads 60% less of other cloud providers in big data. Google has set up customer-friendly pricing revolving around handling big data: no upfront costs, to pay-as-you-go, and no termination fees. No upfront Costs require no commitments for great prices, for organizing big data, 60% less work is put in to compute workloads and $0 has to be paid upfront. Pay-as-you-go is building up big data as businesses move along within their analytics directs the services to be paid for on an as-needed basis to focus on big data innovation. No termination fees after services are cancelled for big data analytics cancellation for cease payment of the services.

https://cloud.google.com/pricing/

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A Look Into Googles Privacy Policy

Written by: Sherane Chen

I am one of the many people who have the tendency to skip past any long policies that look like they should be read, but we just do not want to spend our time on it. I always agree to whatever is in the policy, without knowing what could happen to us or our information which is very important to know. 

Google claims that they use data to make everyones experience the best it can possibly be. They make it easy to manage your privacy so that they don’t take more information then you are willing to give out. They do not sell your information to anyone and your security is their main priority. However some people believe that their security is at risk and in return do not trust any search engines to help them discover new things that they may like. Personally, I believe that it is very secure and useful and the reason Google is so popular is because of it’s big data and privacy policy.

Source: "Privacy Policy – Privacy & Terms – Google." Google. N.p., n.d. Web. 10 Apr. 2017

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Will Google End Big Data?

By, Ryann Koehler- Group 2

Google leads its own industry with innovations in big data technologies to make the data-processing up to date with the latest generation of technology. By updating the technology for big data allows the tools of big data available to everyone; which mostly includes industry leading and programming models. But is there anything new to add on to Big Data? Google has been integrated to end Big Data solution because the Google platform has individuals focus on finding insights rather than managing and combining services and tools for the means of Big Data.  The analytics warehouse Google houses has no structure to manage which doesn’t require a big data admin to watch, which gives the business a focus on insights and advantages on an Analytics platform that other organizations can use.  So will Google end its work on managing Big Data? Only performances in later technological times can tell.

https://cloud.google.com/products/big-data/

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How Big Data Can Hurt Google

Written by: Sherane Chen 

A big part of Google is big data. However, there have been many criticisms of the use of big data itself, and how it could effect the market. Today we’ll just look at a couple of the negative implications of big data and show how it can potentially hurt Google as a company.

Many individuals are concerned about how big data could take away their privacy. By collecting an individual’s online activity, a data collector could stumble across personal information that the individual wants to keep private. Many people are uncomfortable with their personal info being accessible whatsoever, even if nothing harmful is done with it. This raises ethical concerns with big data, especially since some individuals are so protective of their privacy that they may even avoid companies that rely on collecting their data, and it raises questions of where to draw the line. How much can we collect until it becomes too invasive? 

Years ago, Google developed an algorithm called Flu Trends. The idea was to collect data from people searching flu-related terms– the implication being that the searcher believes they might have the flu, and are Googling their symptoms. They would use this data to compile an estimate on overall flu outbreaks for the season. However, what they found was that the estimates were inaccurately high. The reason was because Google failed to account for heavy media coverage of flu season, which accounted for many of the flu-related terms that were Googled. This is why context is extremely important with big data, and cannot usually be taken at face value. It is important to make sure you’re asking the right questions with big data, or the company could lose financially.

Source: https://cloud.google.com/why-google/big-data/

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What is Google?

Group 2

Written by: Sherane Chen

Google is a search engine founded in 1998 by Larry Page and Sergey Brin. It is an American multinational technology company specializing in internet related services and products. These include online advertising technologies, search, cloud computing, software, and hardware. In the last decade, Google has attained the ranking of the #1 search engine on the Web and consistently stayed there. It is the most widely used search engine on the Web, and millions of people use it every day to find answers to questions, research information and conduct their daily lives. Basically, Google is a crawler based engine, meaning that it has software programs designed to "crawl" the information on the Net and add it to its sizable database. Google has a great reputation for relevant and thorough search results. Searchers have more than one option on Google's home page; there is the capacity to search for images, find videos, look at news, and many more choices. 

Source: http://www.computerhope.com/jargon/g/google.htm

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Big Data Organizations in Google

By, Ryann Koehler- Group 2

The big data that google implicates into analytics organization becomes a tool of standardized sources for billing purposes. The big data allows billing for what a company wants to pay for while an analysis completes. As managed databases, object storage, and archival allow big data to be stored economically in a business environment. This affects businesses in the long-term as businesses use big data analytics to scale the real-world data and picks up learning workloads on the massive big data’s for predictive analytics. The Google platform enables teams to run these work-loads of big data into organizational library for long-term storage for businesses to use as in analytics.

https://cloud.google.com/solutions/big-data/

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Big Data on a Google Scale

By, Ryann Koehler- Group 2.

Google is attached to multiple technological devices that are currently generating inexplicable amounts of “Big Data” from multiple sources to multiple individuals. The big data a device generates alone extends out into the physical world to multiple devices, within the hands on multiple people. The big data is only on an increasing slope and the operations people use become structured for multiple to view with the tap of a button. The data produced is a story of the founding days of Google can be viewed through current day analytics. These analytics are a portion of the big data found in the use of Google through a business environment. More big data can be sought through other professions other than just business because any profession is a business on its own, and on its own is generating the big data found in Google.  Whilst businesses need to be carefully managed, Google’s platform leads an organized database of a business’s big data to scale on a main focus or smaller insights that are available for all businesses to uncover as a part of the “Big Data.”

https://cloud.google.com/solutions/big-data/