...Anvari (202) 294-4230 Morteza@Anvari.net Class Web Site: http://www.anvari.net 1. How has the modern enterprise architectures changed from the early network solutions of the 1970s? The modern enterprise architectures has changed from the early network solution in that the early solution followed by vertical, hierarchial approach versus the modern architectures that more horizontal and work peer to peer. Page 57 bottom of page 2. List the functional views exist in enterprise architecture and explain the differences? The list of functional views include: ➢ Business Goals and Business Logic ➢ Execution Services Like Interactive Logistics ➢ Nomadic Computing (Location Independent) capabilities ➢ Object-Oriented Solutions and Network Agents ➢ Intelligent Devices Assuring Most Basic Services The main differences between each functional view that each includes a different level of sophistication. Page 21 bottom of page 3. Why does the gap between the size of business challenges and the sophistication of technological solutions increase over time? Answer: Because a large majority of senior managers and board members are computer illiterate, they have failed to realize that, as business challenges grow, the sophistication of computers, networks, databases, and software must also increase significantly. Question 2: pg 113 4. What is the difference between an Enterprise Architecture and a Systems Architecture...
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...the data cleaning and data transformation processes. In actual sense, relational database offers a solution to this menace. Data organization, keeping, storage, and retrieval among other essentials can easily be realized by adopting relational data management model. In this kind of model, tables are made use of in such a way that data items are formally described and organized according to their level of relations. The data item contained in a given table represents a relation. I am convinced beyond reasonable doubt that through the use of relational database model, an organization can be able to effectively manage their wide range of information encountered on a daily basis. Relational database model offers a more efficient means of managing data. Some of the huge benefits are discussed as follows. WHY RELATIONAL DATABASE MODEL? This model is very unique and provides very sufficient means of data management. Its benefits are manifested in diverse ways which among others are its ability to enable you to store, manage, and retrieve your data in a flexible manner while maintaining vital data veracity. This is just but a tip of the ice berg (R. Snow, 2008). Accessing and transforming data Nowadays, the relational database models available are so powerful that they allow you an access to a query that easily transforms and retrieve data. This is actually a big solution to the challenges usually encountered in the data analysis processes...
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...of inevitability. As data grows larger and larger, the weaknesses in the relational data model are exacerbated. NoSQL technologies grew out of the need for fast query speed and real-time analytics from data sources too large for traditional SQL. Introduction A web site running with a large number of users/members will experience the dreaded Big Data Performance Inconsistency. When you need the web site to respond more quickly to a successful, it slackens. Sites like Facebook, Twitter, and others have struggled with this problem for years as they’ve grown from thousands to millions and now hundreds of millions of users. Inundated by huge amounts of user data, they took advantage of data store technologies like Memcached and Redis to make their sites run fast. But for sites without the engineering resources of companies like Facebook, adopting these technologies has been challenging. Big data and NoSQL Big Data company for example Garantia Data addresses above issue. Garantia Data’s cloud-based, in-memory NoSQL solutions make web site run faster. That’s why a number of companies are beta testing Garantia Data’s offering. NoSQL is often used for storing Big Data. This is a new type of database which is becoming more and more popular among web companies today. Proponents of NoSQL solutions state that they provide simpler scalability and improved performance relative to traditional relational databases. These products excel at storing “unstructured data,” and the category includes...
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...Database Design DBM 380 | | Databases Databases are electronic filing systems that consist of objects (Microsoft, para 2.) providing a quicker means to data retrieval than traditional paper and pen models. They have more flexibility than standard spreadsheets and offer the ability to run query searches. A properly designed database can retrieve items in complex searches; a task that might take hours or days manually, in a matter of minutes. Databases are designed to store large amounts of information without redundancy or inconsistencies (Microsoft, para 1.) Database information can be used to generate reports for specific topics, create mailing lists, manage data, share data with other programs, and perform calculations of data. Databases also can provide an area of storage for document retrieval, such as a school digital library. At work we use a complex data system known as an AS/400 system that can store and retrieve data. Database Architecture According to Georgetown University (n.d.,) database architecture is “the collective application and database instances that comprise the complete system.” This means that defined rules and specifications determine how data is stored and accessed. Web-based database architecture can use two-tier architecture or three-tier architecture depending on if the DBMS and Web server are both on the same computer (Kroenke, p. 452.) As a three-tier database architecture system the AS/400 is used to keep track of inventory...
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...Hello everyone and welcome to Hadoop Fundamentals – What is Hadoop. My name is Warren Pettit. In this video we will explain what is Hadoop and what is Big Data. We will define some Hadoop-related open source projects and give some examples of Hadoop in action. Imagine this scenario: You have 1GB of data that you need to process. The data is stored in a relational database on your desktop computer and this desktop computer has no problem handling this load. Then your company starts growing very quickly, and that data grows to 10GB. And then 100GB. And you start to reach the limits of your current desktop computer. So you scale-up by investing in a larger computer, and you are then OK for a few more months. When your data grows to 10TB, and then 100TB, you are quickly approaching the limits of that computer. Moreover, you are now asked to feed your application with unstructured data coming from sources like Facebook, Twitter, RFID readers, sensors, and so on. Your management wants to derive information from both the relational data and the unstructured data and wants this information as soon as possible. What should you do? Hadoop may be the answer! What is Hadoop? Hadoop is an open source project of the Apache Foundation. It is a framework written in Java originally developed by Doug Cutting who named it after his son's toy elephant. Hadoop uses Google’s MapReduce and Google File System technologies as its foundation. It is optimized to handle massive quantities of data which...
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...Edition for Subscriber Databases * Standards Based, Open Source database allows vendors and users of subscriber data management solutions to easily integrate their applications with MySQL Carrier Grade Edition using their preferred database-independent Subscriber API, e.g., LDAP, SQL, C++, Java, HTTP, etc. * High Performance with a Shared-Nothing, Distributed Database that provides realtime access to in-memory subscriber data with just a few milliseconds latency for reads and writes, and can be scaled out by adding additional resources or by storing data on disk. * 99.999% Availability achieved by synchronously replicating in-memory data across active nodes in the cluster with recovery data being asynchronously written to disk, and by optionally “geo”-replicating data off-site to a remote active or standby cluster. * Self-Healing of data nodes with sub-second fail-over times, and an optimized node recovery protocol that automatically re-synchronizes data across re-starting data nodes. Geo-replication enables self-healing across dispersed sites, where the system can continue functioning correctly in the event of site failure. * Distribution-Awareness in a Shared-Nothing Database is enabled in MySQL Cluster with the partitioning of tables by subscriber identifiers, and by using those identifiers when accessing subscriber data to ensure that reads/writes are localized to the data node(s) containing the subscriber data. * Relational Database technology supports...
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...Payroll can be made more efficient by introducing a relational database to keep track of employees and their rates as well as hours. A relational database solution will create a single database which will allow payroll to obtain the information necessary to operate quickly and efficiently. This more efficient solution will also help payroll avoid making errors. It will also make it possible to quickly obtain a visualized report on payroll data. This data visualization can be smoothly integrated with an analysis to aid in work force decision making. Business Problem As this business grows, the number of employees has also continued to grow. The current payroll system was perfectly feasible when the business was first launched, however, now way too much time and money is being spent on inefficient record keeping as well as data on past employees. It is clear that this entire business process must be streamlined and simplified to adapt to a larger business with a changing work force. In addition to more employees, there is also a concern of consolidating payroll information between branches. We now have two offices overseas. This creates a difficulty with consolidating information with the difference in currency as well as making sure there is complete compliance with applicable local laws as well as various state laws for branches within the United States. Relational Data Solution Using a relational database design, a database will be designed and built which will house data...
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...transformation processes. In actual sense, relational database offers a solution to this menace. Data organization, keeping, storage, and retrieval among other essentials can easily be realized by adopting relational data management model. In this kind of model, tables are made use of in such a way that data items are formally described and organized according to their level of relations. The data item contained in a given table represents a relation. I am convinced beyond reasonable doubt that through the use of relational database model, an organization can be able to effectively manage their wide range of information encountered on a daily basis. Relational database model offers a more efficient means of managing data. Some of the huge benefits are discussed as follows. A relational database is a collection of relations or tables. The rows of a table in a relational database are known as tuples and each column of a table is called an attribute. By definition, a relation becomes a set of tuples having the same attributes. Operations, which can be performed on the relations are select, project and join. The join operation combines relations, the select queries are used for data retrieval and the project operation identifies attributes. The information oif the organization can be captured, manipulated, managed, and shared, and the value the database brings to the organization is immense. The advantages of a relational database are that they contribute to sound logical design...
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...pacing yourself. c. Use of Resources: This is a close book, closed note test – with one exception. You may use the two page “logical design” handout (i.e., the one describing the steps required to transform an ER diagram into a relational database schema). d. A Hint: Be certain to read the questions carefully and respond to all portions of the question. e. GOOD LUCK INDE499B, Midterm #1 2 QUESTION 1: THE DATA DESIGN PROCESS (25 points). Imagine that you have been assigned to a team that will be developing an inventory tracking system. As part of the project startup, your manager has asked each team leader to bring a basic work plan to the next meeting. At that meeting, these work plans will be analyzed to determine the overall project timeframe, costs, personnel requirements and software requirements. For now, as the team leader for the data design team, you have been asked to bring a work plan that identifies the phases of data design and includes the following information for each phase: a). a description of the data design phase, b). the inputs of the phase, c). the outputs of the phase, d). a key issue addressed in the phase e). a challenge that you can anticipate would occur in the phase. Please prepare the response you will bring to the meeting. Solution: a. b. Description Conceptual Design Create model that captures major entities, relationships among entities, and attributes of entities required for a particular system. Logical Design Transform the major entity/attribute...
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...Operations Job Summary: The present position provides technical expertise while working in a consulting and project execution role. Needs to develop and maintain new or improved software products, procedures, and techniques. Responsibilities include providing innovative and cost-effective engineering solutions to meet technical objectives and timing. With increasing experience and seniority, participate in activities to define and implement frameworks and design practices, as well as in knowledge-sharing activities.1 Responsibility: * Be a part in designing and delivering software solutions to achieve business objectives. * Designing, coding, testing and maintaining software. * Interact with juniors and managers. * Act as a team lead to their team mates. * Responsible for solving technical and complex problems. * Improve and establish software development standards and practices. * Maintain data reports and performance metrics on a regular basis Knowledge and Skills Required: * Capable at designing and developing windows-based software in Java. * Capable at designing relational data models and working with relational databases. * Aware with software development methodology, practices and processes. * Excellent written and verbal communications and presentation skills. * Establish solid analytical and problem solving skills. * Ability to develop and maintain strong relationships with others team...
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...The life cycle of a relational database is the cycle of development and changes that a relational database goes through during the course of its life. The cycle typically consists of several stages. There is a possibility that the database designer/developer can go back to any of the previous stages. This represents an admission that a full understanding of a problem, and its solution is likely to evolve as the various stages of design and implementation proceed. The typical eleven stages involved in the life cycle of a relational database are as follows: Process[edit] The designer must try to obtain as complete as possible an understanding of the real world problem that is going to be helped by the introduction of a database. This understanding of the nature of the problem and the constraints and outline feasible solutions is often performed using some systems analysis methodology. The entity relationship diagram is drawn, and this diagram in its modified form serves as an essential part of the logical schema. Attributes of the entity types so produced are then added. Primary and foreign keys are specified. Normalization is used to check the entity-relationship model. Some splitting and even recombination of entity types may result from normalization and the entity relationship model will have to be updated accordingly. The entity relationship model and the table definitions resulting from normalization should be consistent. Set of Table(s) definition for the required...
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...Executive summary Continued database growth, long-term data retention regula- tions and storage requirements are increasing operational costs. As a result, more CIOs are examining the potential ben- efits of implementing cost-effective strategies for managing data and information throughout its life cycle. Because most of the historical data stored in high-performance application databases is inactive, more companies are realizing the value of database archiving as an essential component in an effective data management strategy. Allowing application data growth to continue can degrade performance, limit availability, increase costs and slow disaster recovery. Yet, archiving complex relational data poses many challenges. Organizations need the capability to archive historical data and safely remove it from the production environment. They also need capabilities to store archives cost-effectively, retain access and dispose of data appropriately to comply with data retention regulations. In short, organiza- tions need an effective archiving strategy for managing application data throughout its life cycle. In searching for the ideal archiving solution, some organiza- tions consider in-house development, but soon realize that the short- and long-term costs do not offset the expected return on investment. Implementing an off-the-shelf archiving solution does offer advantages in faster acquisition and imple- mentation. However, the ideal solution must provide the archiving...
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...5. Assumptions 8 6. Mandatory/Optional Dependencies 9 6.1 Proposal and Customer 9 6.2 Proposal and Invoice 9 6.3 Proposal and Work order 9 6.4 Work order and Work assignment 10 6.5 Work order and Task 10 6.6 Work Assignment and Employee 11 6.7 Work assignment and Materials 11 6.8 Work Assignment and Employee 12 7. M: N Relationships 13 7.1 Work_Assignment and Employee 13 7.2 Work_Assignment and Materials 13 7.3 Work_Order and Tasks 13 8. All possible tables of the ER Design 14 9. Why we need ER Diagram for the Scenario 18 10. Why we used relational model rather than using the hierarchical model 19 10.1 Hierarchical Model 19 10.2 Relational Model 19 10.3 Why we used Relational Database 19 11. Suggestions for the Improvements 21 12. Importance of the Database Modeling phase in a Database Development Project 22 12.1 Modeling Steps 22 12.2 Database Deigning Process 22 * Abstract Short Message Technology (SMS) is commonly used among the students modern world as it is a reliable mobile technology. Thus, to simplify the process of assignment booking and to save time SMS technology can be used effectively. In this project, the development of an SMS based assignment booking system is presented. Using the SMS interface, students would be able to send requests for time slots and receive the availability of that slot. Online assignment booking system completely depends on internet connection and also it consumes time. However...
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...a fast response. 4. What platforms do ESPN customers use when access their Web sites, and how does this further complicate ESPN’s processing picture? ESPN customers use beside the pc also mobile platforms and soccernet.com and deportes.com to visit ESPN. So for all these platforms ESPN has to use the same personalization system. They want their personalized program to be used in all their systems and platforms. So because of the fact that they want their system to work on different devices and platforms they will have to adapt the system to the different platforms and use more data space to keep al the information accurate. 5. What are the key components in ESPN’s solution? Describe the function of each. ESPN makes use of a relational database that is called the personalization DB. This database consists of 2 specific components called the Grid and the Composer. The grid is using ABM WebSphere eXtreme Scale. It’s effectively and an in memory representation of everything in that personalization DB. The key to this is that it is extremely fast, we are talking about a sub millisecond response time. The next component is the...
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...Work-Related Project Analysis Part 2 BSA/376 October 15, 2012 Andrew Nash, MBA Introduction to Elements of System Design Managing a live project past the planning stage is a stressful and complex process. It takes a very special person to do this kind of job and even though it is stressful, that special person thrives in this kind of work and are very good at managing it. For a successful project management, there are four areas that must be controlled and they are: 1. Assigning tasks to team members after organizing each individual into a team. 2. Closely monitoring and controlling the progress of the project. 3. Communication monitoring for the project. 4. Keeping track of all the open activities in the lifetime of the project. Systems design is the structuring the components and organizing the process of the system so that the new system can be programmed. The components are composed of the network, software, application architecture, system interfaces, user interfaces, the system appthat were built during the analysis. The outputs are the models or diagrams that describes the architecture of the system and detailed logic within the various components of the programming. Traditional Approach to Design The traditional approach to systems design is the data flow diagram which is enhanced by the addition of system boundary in which the designer sketches the system boundary to show the overall system. A structured design includes a system flowchart which show...
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