Case Study: Document Retention Policy and Litigation Hold Notices Purpose The purpose of this project is to provide you with an opportunity to create a document retention policy. You will also learn how to serve a litigation hold notice for an educational institute. The following aspects of litigation and document retention are covered: § Applicability of confidentiality, integrity, and availability (C-I-A) concepts § Confidentiality of personal information and contracts § Applicability of American Legal System in the litigation process involving corporate, public, and private institutions § Intellectual property (IP) issues § Risk analysis and incident response procedures § Forensics examination Required Source Information and Tools The following tools and resources will be needed to complete this project are the following: Course textbook Internet access for research Project text sheet Learning Objectives and Outcomes You will gain an understanding of the aspects involved in the conception, enforcement, and implementation of security policies. You will also gain insight to risk analysis and will learn how to respond to any given situation that might arise from a violation of those security policies. Project Logistics The project is assigned in Lesson 10 of the course and is due for submission in Lesson 16. Project Introduction Scenario: You are the Chief Information Officer for Premier College. Recently, your college has received a notice from the Department of Education about an investigation of your college based on the state-specific testing and compliance procedures. The Department of Education has sent a Litigation Hold Notice wherein they have asked all college staff and administrators of the college to preserve all relevant documents, records, data, contracts (regardless of its location or medium), and correspondence notes. To understand the litigation hold notice received from the Department of Education, refer to the documents titled “Project.TS1.doc” and “Project.TS2.doc.” As a reminder, this Litigation Hold preservation obligation supersedes any existing statutory or regulatory document retention period or destructive schedule. The determination of what information may be potentially relevant is based upon content and substance and generally does not depend on the type of medium in which the information exists. The information requested may exist in various forms, including paper records, hand-written notes, telephone log entries, e-mail, and other electronic communications (including VoiceMail), word processing documents (including drafts, spreadsheets, databases, and calendars), telephone logs, electronic address books, personal digital assistant (PDA) like Palm Pilots and BlackBerry, iPhone, iPad, Droid, Internet usage files, systems manuals, and network access information in their original format. All electronically stored information (ESI) should be preserved in its originally created, or “native” format, along with related metadata. Relevant backup tapes and all indexes for those tapes should also be preserved. Reasonably accessible information must also be preserved, because such sources will need to be identified under compelling circumstances, and may need to be produced. If you have any doubts as to whether specific information is responsive, err on the side of preserving that information. Tasks: After receiving the Litigation Hold Notice, your next task is to produce original documents for the following: § Create a document retention policy for your College that complies with all state and Federal regulations. (Week 4) § Create a Litigation Hold Notice similar to the one provided to you in the handout called “L10.Project.TS1.doc.” (Week 5) § Create a checklist of procedures that must be followed in order to comply with the Litigation Hold Notice. (Week 6) § Prepare a summary of all your findings in a Microsoft Word document (Font: Arial, 10; Line Spacing: Double). (Week 7) Evaluation Criteria and Rubrics Case Study Schedule: Week 4: Document retention policy due Week 5: Litigation Hold Notice due Week 6: Checklist of procedures due Week 7: Summary Paper Details of Summary Paper (21%): Prepare a 8-10 page summary paper in Microsoft Word (counts as 21% of the final grade) in APA format with 5-10 references (see writing expectations in the Policies section) (250 words per page). This paper must include the week 4, 5 and 6 assignments as sections of document for grading. Your summary should refer to the prior assignments within the document. Grading: Grading Rubric will be used to evaluate your paper along with the APA manual. Papers which exceed a similarity score of 30 per cent will not be graded !! APA Tips Paragraphs average 3-5 sentences in length Reference all statements of fact At least 1 reference per paragraph as a rule of thumb Font size and style consistent No first person (I, we, us, etc.) Past tense only Double spaced First of paragraph indented

The rising importance of big-data computing stems from advances in many different technologies.  Some of these include: Sensors Computer networks Data storage Cluster computer systems Cloud computing facilities Data analysis algorithms How does these technologies play a role in global computing and big data? Please make your initial post and two response posts substantive. A substantive post will do at least two of the following: Ask an interesting, thoughtful question pertaining to the topic Answer a question (in detail) posted by another student or the instructor Provide extensive additional information on the topic Explain, define, or analyze the topic in detail Share an applicable personal experience Provide an outside source (for example, an article from the UC Library) that applies to the topic, along with additional information about the topic or the source (please cite properly in APA) Make an argument concerning the topic. POST 1 Global computing and big data are the reason digital society is evolving and enhancing the performance of organizations. Both technologies are ‘n’ numbers of benefits that are provided to the organizations as big data allows the organization to identify the insights, to find out hidden patterns, new market trends, and also preference and choice of the customers. Computing techniques allow the organization to communicate throughout the globe using the tools, software, and innovative techniques of computing. Global computing can be said as considerably extremely distributed computation, and it is the effect of computing resources that are not used even after being connected to the internet. The primary idea of global computing is to harvest the idle time of the computers that are connected to the internet (Germain, & Fedak, 2002). Big data and global computing play a very important role in many different technologies such as sensors, computer networks, data storage, cluster computing systems, etc. Big data and global computing allows these technologies to gather data, identify, store, and process it in order to make it meaningful. Big data needs a very large space to process each and every data present and developed until the present. It can be implemented on regular systems. Data analytics algorithms can be identified and analyzed when the system is idle. Cloud computing and big data is a deadly and perfect combination as big data deal with huge data whereas, cloud computing is all about infrastructure. These two technologies when combined together by any organization it will be very beneficial as they provide scalable and cost-effective results (Verma, 2018). References Germain, C., & Fedak, G. (2002, January). Global Computing Systems. https://www.researchgate.net/publication/2414045_Global_Computing_Systems Verma, A. (2018, July 21). Big Data and Cloud Computing – A Perfect Combination. https://www.whizlabs.com/blog/big-data-and-cloud-computing/  POST 2 A few years ago, sensor technology was seen as an extremely promising field, and new sensor product categories seemed to spring up overnight. However, sensor technology is only one factor in the overall picture. The other big factor in computing and big data, and it is sensor technology, is that big data is becoming increasingly capable. Computer networks provide a convenient method of connecting many different data sources to one common data store. Computer network logs and other system logs (Deutsch et al., 2020). These logs can be analyzed and correlated with other data in the system to learn more about issues in the system. For instance, email is often sent over the network, and data traffic such as files is routed over the network. A big data picture has emerged. As companies' data, organizations and individuals grow, they are also expected to keep a significant amount of this data in memory for later use. Storage is a common medium for storing data and often includes non-volatile random-access memory such as flash memory (Deutsch et al., 2020). The role of computer systems in global computing and big data is understudied. For years, the name of a computer cluster used to be considered taboo in computer science circles. However, computer security researchers and some academic practitioners have now come to terms with the concept of large-scale, data-rich computing (John Krogstie, 2017). At the very core of any information, the system is a cluster computer. Because clusters are so pervasive, it is important to understand how and why they are built. Cloud computing facilities can significantly reduce the time required to perform many traditional processing volumes in a relational database. IT practitioners can use a single, central computing environment to provide multiple, standalone, and consistent access to highly complex and dynamic data at a lower cost per unit than the Internet with these cloud facilities. The role of data analysis in these areas requires more than a little explanation. Data analysis is a technical one that does not associate with any particular set of methods or technologies (John Krogstie, 2017 References Deutsch, E. W., Bandeira, N., Sharma, V., Perez-Riverol, Y., Carver, J. J., Kundu, D. J., ... & Wertz, J. (2020). The ProteomeXchange consortium in 2020: enabling 'big data'approaches in proteomics. Nucleic acids research, 48(D1), D1145-D1152. John Krogstie (2017), The core enabling technologies of big data analytics and context-aware computing for smart sustainable cities: a review and synthesis  Also need responses to above post with references 

some questions in physics and Matlab , please see attached theres 7 questions need to be answered