Task D. Sunshine Group

5. What special issues about data warehouse management (e.g., data capture and loading for the data warehouse (ETL processes) and query workload balancing) does this case suggest occur for real-time data warehousing? How has Continental addressed these issues?

M2 - Discuss the factors likely influence current and future health patterns in the uk

Initially security issues wouldn’t be very high priority for this website as they had no customer information that they could lose but now that I have given them a shop and a members section, they would have to be a lot more conscious of security issues. According to my research people think that security is very important, in my research the participants of my questionnaire almost all said very important and only a few said fairly important. This is one of the sections that I see to be a high priority, this is because when a customer buys something they are agreeing to the business retaining their contact details, so they need to be highly protected from things like crashes and hacking. Security also applies to some other parts of the website, including on the member’s login, which retains their email address and name, and on the contact us page, as this retains the name and email address as well. I used a PayPal login box on the front end of the website due to what my research showed me, it was one of the most common subjects of my research, and this is the more secure payment option of the website but the Kendal golf club website mentioned what type of security they use, which was a 128 bit encryption, and upon further research I found that this was a very secure type of encryption and I plan to use that as the payment method on the website. The only problem with secure payment is that it may cost money to set up which the business may not

24) Before it can be loaded into the data warehouse, operational data must be extracted and

Leaders are not guaranteed to develop to such a high performance teams, nor are members who want to be in the teams. The developments of good teams need the combination of efforts of leaders’ visionary and motivational team members. To be an effective team, leaders have to set up an environment in which team members can indicate at the time of and resolve relationships with other members.

The Enterprise Data Warehouse is the primary data storage for USPS. It approximately 35 petabytes of storage capacity which allows it to store all the data collected from over 100 systems ranging from financial, human resources, transactional, etc. To process and store data into the EDW, it requires three steps of extract, transform and load. During the extraction process, the data is taken from the source of different systems within the USPS facilities. Then the transform process structures the data using rules or tables and turns it into one consolidated warehouse format. It also combines some data with others so it is easier to be transferred between different databases. The final process is the load with is basically integrating and writing the data into the database which can be accessed from any facilities and systems within the USPS. The EDW allows USPS to store any amount of data as efficient as possible at the lowest cost and quickest processing speed. It also allows the data to be used and migrate from database to database easily for analysis.

There might be multiple source systems or legacy systems that need to be considered as part of the data conversion and migration and it is expected to understand a reasonable portion of the intended use of each of these underlying source systems. One of the other activities in the agenda is to give a deep dive in to the different stages of migration and the connectivity between the stages of Extract, Transform and Load. Introduction to various environments that host or stage the data is also part of the plan.It is also anticipated to have introduction to the data flow and conversion from source to

A data warehouse is a large databased organized for reporting. It preserves history, integrates data from multiple sources, and is typically not updated in real time. The key components of data warehousing is the ability to access data of the operational systems, data staging area, data presentation area, and data access tools (HIMSS, 2009). The goal of the data warehouse platform is to improve the decision-making for clinical, financial, and operational purposes.

The second phase aimed at accomplishing activities outlined in the planning phase. Initially during this phase author did research through Microsoft, Informatica and Oracle websites for the comparison perspective of ETL. Based on research author noted below points before meeting and discussed with experts regarding the comparison of ETL tool:

CHAPTER 2: DATA WAREHOUSING Objectives: After completing this chapter, you should be able to: 1. Understand the basic definitions and concepts of data warehouses 2. Understand data warehousing architectures 3. Describe the processes used in developing and managing data warehouses 4. Explain data warehousing operations 5. Explain the role of data warehouses in decision support 6. Explain data integration and the extraction, transformation, and load (ETL) processes 7. Describe real-time (active) data warehousing 8. Understand data warehouse administration and security issues CHAPTER OVERVIEW Data warehousing is at the foundation of most BI. This is the data warehousing chapter of the book. Later chapters will use it as they discuss DW

Sunshine Wines is an Australian company that specializes in organic wine production. It is located in Queensland, Australia. Sunshine Wines is looking to analyze the potential between two countries specifically: Singapore and Sweden, for exportation and company expansion.

• Worked extensively with Dimensional modeling, Data migration, Data cleansing, Data profiling, and ETL Processes features for data warehouses.

·         Extracting data from source systems, transforming it, and then loading it into a data warehouse

Data Organization is the stage where data is being stored and organized. The storage of the data can be image based, graph based, documents or key-values. An Extract-Transform-Load(ETL) step is usually needed before data is stored in the final

Data warehouse are multiple databases that work together. In other words, data warehouse integrates data from other databases. This will provide a better understanding to the data. Its primary goal is not to just store data, but to enhance the business, in this case, higher education institute, a means to make decisions that can influence their success. This is accomplished, by the data warehouse providing architecture and tools which organizes and understands the