Company's Data Needs
Data protection is an important aspect of modern day businesses and organizations because data is the lifeblood of their business and operations. Some of the major examples of a company's data include financial information, legal records, and customer information. Given the significance of this type of information, it is increasingly critical for a company to protect its data in order to guarantee successful operations. In the recent past, data protection has emerged as a major factor for companies' operations because of the numerous challenges brought by rapid technological advancements. Regardless of the size and industry of the company, many organizations experience challenges associated with data backup and recovery ("Data Protection," n.d.). The most appropriate way of dealing with these challenges involves determining a company's data and planning for data needs through effective data security policies and approaches.
The Company's Data
Google Inc. is a search engine company in the United States that was founded in 1998 and handles over 70% of online search requests across the globe. Therefore, the company is considered as the heart of the experience of most Internet users. While it started as an online search company, Google has now diversified its business to an extent that it provides over 50 services and products on the Internet. Some of these additional services and products include e-mail, tablet computers, online document creation, and software. Since its inception, the company has developed to become one of the most influential companies in the high-tech industry. Generally, data is at the center of Google's operations since most people use it to search for information. This implies that the organization must employ appropriate and effective techniques for data collection and ensuring that it provides accurate information to users through the numerous online requests.
Since it operates in the high-tech industry or marketplace, Google Inc. is a data firm that probably needs more data than human beings can collect. The company's data includes financial information, customer data, and legal records. The company is in charge of searching for information and making it readily available to customers or Internet users who search for information through online requests. Customer information across the firm's various products and services play a crucial role in its business process because they use the data for daily interactions and mapping among other activities.
Google's data warehouse is made of two major segments i.e. The public internet zone and Google cloud segments. These two segments are where the company's data resides for all the services and products it provides. The public internet segment mainly consist of users data while the Google cloud carries documents, maps, and customer information obtained from the Gmail account registration (Gellman, 2013). In addition, the company has data centers located across the globe i.e. In four different continents. Under the public internet segment, Internet and mobile users send messages through Gmail, create documents on Google Drive, and use other products from the company through encrypted web connections with the firm. Under the Google Cloud segment, the firm has data centers located in four continents, which are networks of computers that are linked through private fiber-optic cables. Google requests are received by front-end servers that handle and process them before returning data to the end user.
Google developed the data centers as part of its first priority in ensuring the privacy and security of data. Similar to Yahoo, one of its major competitors, Google constantly maintains its fortress-like data centers and connects them through private data cables. Data is transmitted seamlessly throughout the globe-spanning cloud networks. The security of data in these data centers is also maintained through coloring codes servers based on their location (Prigg, 2012). One of the most important aspects of Google's data management is studying Internet search requests and Web surfing trends to obtain improved understanding of users' preferences.
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