Thursday, August 15, 2013

Syndicated Data

Syndicated Data
The value of the data content is derived not only from the internal operational systems, but from suitable external data as we with the escalating growth of data warehouse implementations, the market for syndicated data is rapidly expanding. 

Examples of the traditional suppliers of syndicated data are A. C. Nielsen and Information Resources, Inc. for retail data and Dim Bradstreet and Reuters for financial and economic data some of the earlier data warehouses were incorporating syndicated data from such traditional suppliers to enrich the data content 70-247 microsoft ebook.

Now data warehouse developers are looking at a host of new suppliers dealing with many other types of syndicated data. The more recent data warehouses receive demo-graphic. Psycho-graphic market research and other kinds of useful data from new supplier. Syndicated data is becoming big business.

Data Warehousing and ERP

Data Warehousing and ERP
Look around to see what types of application's companies have been implementing in the last few years. You will observe a predominant phenomenon. Many businesses are adopting ERP (enterprise resource planning) application packages offered by major vendors like SAP. Baan JD Edwards and PeopleSoft. The ERP market is huge, crossing the billion markets. 

Why are companies rushing into FRP applications'? Most companies are plagued by numerous disparate applications that cannot present a single unified view of the corporate information. Many of the legacy systems are totally outdated. Reconciliation of data retrieved from various system's to produce meaningful and correct information is extremely difficult, and, at some large corporations, almost impossible. Some companies were looking for alternative ways to circumvent the enormous undertaking of making old legacy systems Y2K-compliant ERP venders seemingly came to the rescue of such companies,

Agent Technology

Agent Technology
A software agent is a program that is capable of performing 3 predefined programmable tasks on behalf of the user. For example, on the Internet, software agents can be used to sort and filter out e-mail according to rides defined by the user. Within the data ware-house, software agents are beginning to be used to alert the users of predefined business conditions. They are also beginning to be used extensively in conjunction with data mining and predictive modeling techniques. Some vendors specialize in alert system tools. You should definitely consider software agent programs for your data warehouse.

As the size of data warehouses continues to grow, agent technology gets applied more and more. Let us say your marketing analyst needs to use your data warehouse with rigid regularity to identify threat and opportunity conditions that can offer business advantages to the enterprise. The analyst bias to run several queries and perform multilevel analysis to find these conditions. Such conditions are exception conditions. So the analyst has to step through very intense iterative analysis. Sonic threat and opportunity conditions may be it discovered only after long periods of iterative analysis. This takes up a lot of the analyst's ms run- lime, perhaps on a daily basis.

Whenever it threat Or opportunity condition is discovered through elaborate analysis, it also in-makes sense to describe the event to a software agent program: This program will then automatically signal to the analyst every time that condition is encountered in the future. This is the very essence of agent technology.




Software agents may even be used for routine monitoring of business performance_ Your CEO may want to be notified every time the corporate-wide sales drop below the monthly targets, three months in a row. A software agent program may he used to alert him or her every time this condition happens. Your marketing VP may want to know every time the monthly sales promotions in all the stores are successful. Again, a software agent program may be used of this purpose.

Monday, June 17, 2013

70-247 Question 7

70-247 Question 7
You install System Center 2012 Virtual Machine Manager (VMM) on a server named Server1. You configure the VMM fabric for networking. You need to create an IP address pool. What should you create first? 


A. a Hardware Profile
B. a logical network
C. a VIP template
D. a Run As Account

Answer: B

70-247 Question 6

70-247 Question 6
You have a System Center 2012 Virtual Machine Manager (VMM) infrastructure that contains a visualization host named Server2. Server2 runs Windows Server 2008 R2 Service Pack 1 (SP1). Server2 has the Hyper-V server role installed. You plan to deploy a service named Service1 to Server2. Service1 has multiple load-balanced tiers.

You need to recommend a technology that must be implemented on Server2 before you deploy Service1. What should you recommend?

A. MAC address spoofing
B. the Network Policy and Access Services (NPAS) server role
C. TCP Offloading
D. the Multipath I/O (MPIO) feature

Answer: A