Thursday, August 15, 2013

Multidimensional Analysis

Multidimensional Analysis
Today: every data warehouse environment provides for multidimensional analysis. This is becoming an integral part of the information delivery system of the data warehouse. Pro-vision of multidimensional analysis to your OSCVS simply means that they will be able to analyze business measurements in many different ways latest actual 70-247 Dumps T-Multidimensional analysis is also synonymous with online analytical processing (OLAP). 

Because of the enormous importance of OLAP, we will discuss this topic in greater de-tail in Chapter 15, At this stage, just note that vendors have made tremendous progress in MAI' tools, Now vendor products are evaluated to a large extent by the strength of their 01.AP components.

Data Fusion

Data Fusion
A data warehouse is a place where data from numerous sources are integrated to provide a g unified view of the enterprise. Data may come from the various operational systems running on multiple platforms where it may be stored in flat Files or in databases supported by different DBMSs. In addition to internal sources, data from external sources is also included in the data warehouse. In the data warehouse repository, you may also find various types of unstructured data in the form of documents, images, audio, and video.

In essence. Various types of data from multiple disparate sources need to be integrated or fused together and stored in the data warehouse. Data fusion is a technology dealing with the merging of data from disparate sources. It has it wider scope and includes real-lime merging of data from instruments and monitoring systems. Serious research is being conducted in the technology of data fusion. The principles and techniques of data fusion technology have a direct application in data warehousing.

Data fusion not only deals with the merging of data from various sources, it also has another application in data warehousing. In present-day warehouses, we lend 10 Collect data in astronomical proportions. The more information stored, the more difficult it is to find the right information at the right time. Data fusion technology is expected to address this problem also,

By and large, data fusion is still in the realm of research. Vendors are not rushing to produce data fusion tools' yet. At this stage, all you need to do is to keep your eyes open and watch for developments.

Browser Tools

Browser Tools
Here we are using the term "browser" in a generic sense, not limiting it to Web browsers. Your users will be running queries against your data warehouse. They will be generating reports from your data warehouse. They will be performing these functions directly and not with the assistance of someone like you in IT this is expected to be one of the major advantages of the data warehouse approach.

If the users have to go to the data warehouse directly, they need to know what information is available there. The users need good browser tools to browse through the informational metadata and search to locate the specific pieces of information they want to receive. Similarly, when you are part of the team to develop our company's data warehouse you need to identify the data sources, the data structures, and the business rules. You also need good browser tools to browse through the information about the data sources.

Here are some recent trends in enhancements to browser tools:
  • Tools arc extensible to allow definition of any type of data or informational object
  • Inclusion of open APIs (application program interlaces)
  • Provision of several types of browsing functions including navigation through hierarchical groupings
  • All4nving users to browse the catalog (data dictionary or metadata, find an informational object of interest. and proceed further to launch the appropriate query tool with the relevant parameters
  • Applying Web browsing and search techniques to browse through the information catalogs

Monday, June 17, 2013

70-247 Question 9

70-247 Question 9
Your company has a private cloud managed by a System Center 2012 Virtual Machine Manager (VMM) infrastructure. You need to add a hardware load balancing solution to the private cloud. You deploy the hardware load balancer to the network. What should you do before you add the hardware load balancer to the fabric? (Each correct answer presents part of the solution. Choose two.)
 
A. Create a logical network.
B. Create a VIP template.
C. Create a Run As Account.

70-247 Question 8

70-247 Question 8
Your company has a private cloud that is managed by a server named Server1. Server1 has System Center 2012 Virtual Machine Manager (VMM) installed. You add a Hyper-V host named Server2 to the server fabric. Server2 is connected to a SAN named SAN1 by using Fiber Channel connections. You need to optimize access to the LUNs in SAN1 from Server2. What should you do first?

A. install the Multipath I/O (MPIO) feature onServer1.
B. Configure Server2 to connect to SAN1 by using an iSCSI channel.
C. install the Multipath I/O (MPIO) feature on Server2.
D. ConfigureServer1to connect to SAN1 by using an iSCSI channel.

Answer: C