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C2020-632 exam Dumps Source : IBM Cognos 10 BI Metadata Model Developer
Test Code : C2020-632
Test Name : IBM Cognos 10 BI Metadata Model Developer
Vendor Name : IBM
Q&A : 53 Real Questions
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IBM IBM Cognos 10 BI
As we settle for and welcome the entrepreneurial tradition with open fingers, it gives hints to businesses in regards to the viable dangers of going out of business if they don't take the vital precautions to continue to exist the competition. This comprises adopting trade and opening your mind to new technology that may benefit the company and aid it dwell competitive within the long-time period. IBM strives to offer individuals and businesses technology that contributes to their progress.
ExistBI brings you licensed IBM InfoSphere DataStage training and IBM Cognos working towards from certified, skilled, and award-successful individuals to emphasize the significance of IT in running a company. We consider in using expertise to empower each business to reside in the race and not be left behind.
Why You need IBM Infosphere Datastage working towards
With a strong ETL (Extract, radically change, and load) procedure, a company can dig deep into big records units through queries and retrieve significant tips that can be a good idea for the enterprise. moreover, with robust integration, you could avoid any delays in choice-making, that could aid you benefit first-mover capabilities in an already saturated market. With InfoSphere DataStage, IBM brings you a sophisticated ETL tool so one can now not best aid you construct statistics, however additionally can help you existing it graphically and take decisions in true time, saving you from a misplaced possibility.
ExistBI’s training application covers every little thing, from administration to architecture and programming to facts processing to let you get an entire idea of the application. furthermore, our partnership with IBM allows us to convey licensed studying material and fingers-on practicing from licensed individuals all across the globe. With DataStage, we are able to support you observe a strategic increase.
How IBM Cognos is diverse
not like InfoSphere DataStage, IBM Cognos is a business intelligence device it is web-based mostly. It presents unique tools for analytics, reporting, metrics, rating carding, and monitoring. The a number of add-ons of IBM Cognos that consist of a framework manager, cube clothier, and transformer permit for the efficient processing of records and formula of relationships to reach at actionable consequences. The Cognos categorical addition additionally allows for company users to plot, budget, and forecast, which is useful in construction, revenue, advertising and marketing, analysis and construction, and other departments.
With a business intelligence device like Cognos by your aspect, which you can arrive at effective and important assistance it's wonderful and catered to your selected needs. The sources may well be previous enterprise information or information picked up from a variety of sources within the users’ group to assist you take into account the market tendencies and what may also be expected in the future. without a BI tool, surviving this converted period may be a challenge. With ExistBI’s IBM Cognos working towards, you've got greater possibilities of stumbling upon whatever thing interesting that allows you to pastime the masses than devoid of it.
Why select ExistBI
Our commitment to empowering businesses with technology is just a step in opposition t attaining everything the world has to offer. businesses want BI application and equipment to make greater suggested selections and emerge because the winners. With our IBM practising services and options, we aim to assist businesses alter to the contemporary world.
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IBM’s cloud computing method is apparent to a point with Cognos 10, the newest release of the company intelligence platform.
As part of Cognos 10, IBM is delivering a cloud-based service they call Cognos 10 in the Cloud.
It’s a hosted service for agencies that wish to switch its license to the cloud or entirely host online.
The approach offers some insight into the IBM application neighborhood’s strategy to cloud computing.
We see three distinctions to the Cognos strategy and the way it reflects on IBM’s method.
Hosted, not SaaS
The service has the equal facets that comes with Cognos 10, arguably the highlight of IBM’s assistance on Demand conference. It points predictive analytics and social collaboration capabilities through its integration with Lotus Connections.
Cognos 10 in the Cloud isn't within the vein of a traditonal SaaS provider. You pay a license fee for hosting your license. customers may change the license from on-premise to the IBM Cloud. shoppers might also also choose to purchase a hosted license with out investing in the on-premise provider.
Streaming data from the Cloud
Cognos 10 is a heavy duty analytics engine. SPSS is baked in. It pulls in facts from the cloud, including unstructured facts. users can use third-birthday party facts to get a ancient analysis, see a real-time stream or do “what if,” evaluation.
much less About Cloud, greater About delivery
It’s questionable if there's demand for a pure cloud computing carrier. corporations have deep investments in information facilities however they are trying to find how to lengthen to a cloud environment. That’s a trend we see plenty from SAP, VMware, Microsoft and a number of others.
IBM says it’s strategy with Cognos 10 is less concerning the cloud than delivery. purchasers want a spot to position their application license. That’s the start IBM is making with Cognos 10 within the Cloud.
we've questions about the IBM approach. it’s just a small part of IBM’s cloud offering but it’s illustrative of a larger strategy to make use of the cloud as an choice start mannequin for traditional utility offerings.
Posted October 26, 2010 by way of Paul Shread remarks
IBM adds collaboration, cellular aid and simple-to-use analytics to its flagship BI application.
At its new enterprise Analytics forum in Las Vegas this week, IBM (NYSE: IBM) continued its aggressive push into business intelligence and analytics with a number of new product releases, together with the newest release of its flagship BI application, Cognos 10.
also at the new convention for Cognos and SPSS clients, massive Blue unveiled DB2 10 database utility with a 40 % performance raise, IBM InfoSphere Server 8.5 facts integration and exceptional application, and a technology preview of Hadoop-based big data analytics software.
Cognos 10 boasts a couple of new points, together with collaboration and analytics capabilities and iPad, iPhone and BlackBerry support.
IBM bills Cognos 10 as "the most giant analytics providing on account that the acquisition of Cognos" three years in the past. The addition of Lotus Connections utility provides social collaboration and the capacity to communicate as concerns come up.
IBM additionally claims "intuitive navigation capabilities and simplified person experience" that "eliminates the frustration of getting to interrupt person train of idea resulting from the deserve to change between views to get the right suggestions."
The application offers an built-in view of historic counsel with real-time updates. clients can choose a range of views from essential precise-time advice to advanced predictive analytics.
IBM noted Cognos 10 "takes analytics out of the typical structure of studies and charts to a greater interactive design and broader evaluation and insight, making it simpler with the aid of providing developed-in images and video clips to guide enterprise users. they could now gain fast perception with analytics in an easy to use format each time, anyplace on their cell instruments."
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IBM Cognos 10 BI Metadata Model Developer
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Data Warehouse Concepts
What is a Data Warehouse?
A warehouse in general terms is a repository where we store our information. Coming to the data warehouse, it is a collection of data organized in a specific manner and categorized information.
A data warehouse stores historical data of an organization so that they can analyze their performance over the past years and plan for the future.
The popular definition of the data warehouse by WH Inmon:
A data warehouse is:
Subject oriented: Data in the warehouse is categorized in different subject areas. For example, consider a KFC store. It has many branches all over the world. If we have to analyze “sales” for India, this is termed as “subject”.
Integrated: A data warehouse has data coming from multiple sources which are integrated into the warehouse. For example, consider the same KFC store, stores in India may store date field as “dd/mm/yyyy” whereas the same data in another country will be stored as “MM/DD/YYYY”. The data warehouse will have only one format fixed to say “MM/DD/YYYY”.
Time-Variant: A data warehouse stores historical data with which we can identify patterns of sales over a time period of 3 months,6 months or 2 years of any organization which has a warehouse.
Non-Volatile: Data in the warehouse will not change once it is entered.
Another definition from Ralph Kimball is more precise:
A data warehouse is a copy of transaction data specifically structured for query and analysis.
What is a Data mart?
A data mart is a subset of a data warehouse. Suppose we have an organization established in many different locations and each location maintains a data warehouse which we call it as data mart because a warehouse will have all the data integrated and as far as data mart is considered it will be a part of the data warehouse.
What are uses of having a Data Warehouse?
A Data Warehouse, in general, is used to analyze trends over a period of time and enhances the decision making of an organization. Once the data is loaded into the warehouse will be creating an OLAP cube or directly use the data to analyze trends. Basing on which the top level management will approach their future business strategies.
Data warehouse Architecture
We will multiple sources there all the operational data will be stored. Some may store them in flat files and some in databases. We will have to read all the sources and perform ETL (Extract, Transform and Load operations) which will be used to integrate data from these sources and transform them into one unique structure and then load into our target data warehouse.
Data Warehouse Architecture
There are 2 approaches in designing your data warehouse. First one is “Top-Down approach” and second is “Bottom-up approach”.
Top — Down Approach: The above image shows the top-down approach, where we are reading data from multiple sources and transforming the data and loading into your warehouse, then on top of that we are creating our data marts.
Bottom-up Approach: The opposite of the above approach is this. Here we will be creating data marts first and then we will create our data ware house on top of all the data marts.
Data Warehouse Terms
Dimension: A Dimension is a categorical information which is stored in a data warehouse.
Fact: Fact is a measurable quantity by which we can actually figure out what the dimension does.
Attribute: Attributes are the elements in a dimension Ex: Suppose we have product information classified in a dimension. The attributes of the “Product dimension” are: “Product_ID, Product_Name, Product_Color” etc. Sales is a fact table where you store numeric values associated with the dimension attributes.For instance, we have to calculate the number of sales of each product for the current month.In this case, Product is the dimension and Month is a dimension and numbers of product sold is the fact.
OLAP: Online Analytical Processing is a multidimensional model using which users can view data in multiple dimensions at a single glance.
Types of OLAP’s:
OLTP: Online transactional processing is a transaction based model where the main aim will be to retrieve data faster and update transactions quickly.
Schemas in Datawarehouse
The schema is a logical arrangement of tables in a data warehouse. We have schemas in relational databases. Very much like same Data warehouse has schema’s namely Star schema, Snowflake schema, and Fact-Constellation.
In this logical arrangement of tables, the fact table will be at the center of the schema surrounded by multiple dimension tables. Fact and dimension tables are linked via a Primary — Foreign Key relationship. Fact table will be having foreign keys of all the Dimension tables along with the facts whereas a Dimension table will be having attributes which describe the Dimension.
In this logical arrangement of tables, we have dimension tables connected to other dimension tables which in turn are connected to fact table via a primary-foreign key relationship. Else we can say that the Dimension tables in Snowflake schema are normalized. Because of the normalization, the data redundancy will be reduced and a lot of storage space is saved.
Fact Constellation Schema:
A fact constellation schema, unlike the start or snowflake, will have multiple fact tables. It is also called as Galaxy Schema.
Star Schema Example
In this schema shown, a fact table (sales) is connected to multiple dimension tables item, location, time and branch. Each dimension table has attributes describing the dimension and fact table has the foreign key of all dimension tables along with facts like dollars_sold and units sold.
Snowflake Schema Example:
In this schema, a fact table (sales) is connected to multiple dimensions, whereas the dimensions item and location are again connected to City and Supplier dimension respectively.
Fact Constellation schema Example:
In this schema, we can find two fact table Sales and Shipping connecting with each other and are again connected to multiple dimension tables individually.
Now we are jumping into the actual topic “Cognos Business Intelligence”.
Overall DWH architecture
We will be dealing with Cognos reporting tool and Cognos Metadata managing tool and other useful tools that Cognos BI has.
Let’s go through where BI will actually come into picture
The below image shows overall Data warehouse Architecture. From data load to using the data loaded into the tables for enhancing the business of your organization. From all the data sources (may it be Operational databases, Flat files etc.) we load the data into data warehouse through different ETL process and creating cubes and using the data for mining purpose.
The below figure will describe the Business Intelligence flow how the data will be used for Business optimization. Business intelligence is a process from where you will be able to derive methods to enhance your business with the data that you have. Using BI one will be able to look at their data at different levels and will be able to make decisions to make their business better.
Cognos BI will be used to generate reports (list, crosstab, and charts). The below figure will show you the entire flow that happens with Cognos.
The first step in using Cognos BI is to gather requirements. This is possible when you understand your business structure and the data that drives your business. Once the requirement is finalized the next step is to create your framework metadata model. You can choose either to you star schema or snowflake schema or you can use the existing relational model.
After this step is done with we have to publish the model that we have created. Publishing the model will make your metadata model available for reporting purpose. Once your model is published, we can use the model to create different types of reports as per your requirement and we will schedule the reports basing your requirement.
Different Versions of Cognos
Cognos ReportNet (CRN) is a web-based software product for creating and managing ad-hoc and custom-made reports. ReportNet is developed by the Ottawa-based company Cognos (formerly Cognos Incorporated), an IBM company. The web-based reporting tool was launched in September 2003. Since IBM’s acquisition of Cognos, ReportNet has been renamed IBM Cognos ReportNet like all other Cognos products.
Cognos Report Studio — A Web-based product for creating complex professional looking reports
Cognos Query Studio — A Web-based product for creating ad-hoc reports.
Cognos Framework Manager — A metadata modeling tool to create BI metadata for reporting and dashboard applications.
Cognos Connection — the Main portal used to access reports, schedule reports and perform administrator activities.
IBM Cognos 8 BI, initially launched in September 2005, combined the features of several previous products, including ReportNet, PowerPlay, Metrics Manager. There are also Express and Extended versions of Cognos 8 BI. Full features:
Report Studio (Professional report authoring tool formatted for the web)
Query Studio (Ad hoc report authoring tool with instant data preview)
Analysis Studio (Explore multi-dimensional cube data to answer business questions)
Metric Studio (Monitor, analyze, and report on KPIs)
Metric Designer (Define, load, and maintain metrics to be available in Metric Studio)
Event Studio (Action based agents to notify decision makers as events happen)
Framework Manager (Semantic metadata layer tool which creates models or packages)
PowerPlay Studio (formerly PowerPlay Web)
Analytic Applications (Packaged BI Applications, built on an adaptable platform and extensible into Business Analytics)
We can see different components and how they are fitting in. The top most layer, where we can see Cognos Connection, Administrator, Business Insight and different studios. They all are web-based and end-user needs not to install any client side software if he has the latest web browser installed.
The bottom layer is basically data layer where you may have homogeneous or heterogeneous database systems. Data may be relational or multi-dimensional. On top of it, we can see three modeling tools there — Framework Manager, Transformer, and Metric Designer. All of them are client based installation.
We’ll maintain the flow of components from top to bottom as shown in below BI components figure.
Before getting into the actual topics about how you create the model, deploy it and use it to create reports we have to first know the architecture of Cognos.
Cognos Business Intelligence framework is 3- tier architecture. The first tier of the architecture will be having the Web server which is responsible for the accessing the user interfaces. The second tier will be having IBM Cognos BI Server which will be having gateways and dispatchers to route requests from different UI’s to Database and communicate back to the server.
The Third Tier will have the data sources. You can have multiple data sources and they will connect to the Cognos server using JDBC or API’s.
The Below figure shows the architecture of Cognos BI:
In the data tier, you can see one more component called the “Content Store” which is a repository for the Cognos server. Whenever you save any objects reports, models everything the data is stored in Content Store database which once you reopen or reuse the existing object created will fetch the data from the Content Store. All this work will be performed by the “Content Manager”.
Content Manager: The content manager is responsible for connecting with the Content Store database and saving any report or model back to the Content Store.
Dispatcher: The job of dispatchers is to route requests sent from and to the Web UI/Windows based components.
Web-based and Windows Based components of Cognos
Cognos BI has two types of components,
1. Web-Based components.
2. Window based components.
Web-based components includes
Cognos Connection: This is the portal from where you can access all the web-based components of IBM Cognos BI.
Cognos Administration: Using this web-based UI you can perform administrative tasks like granting access, revoking access, creating users, groups and defining roles etc.,
Cognos Report Studio: Using Report studio tool we can create reports and format the reports. We can create multiple types of reports like list report, crosstab reports, graph’s etc.,
Cognos Query Studio: Here we create ad-hoc reports. Ad-hoc reports are useful when a user wants to see the report without any prompts and less formatting. Using query studio we can create a report instantly.
Cognos Metric Studio: This studio is used to build customized scorecards reports to monitor and analyze metrics.
Cognos Analysis studio: This studio is used to analyze data from different dimensions and also compare trends.
Cognos Business Insight: This tool is used to build dashboards. A dashboard allows a user to quickly look into the data and enhance the decision making.
Cognos Business Insight Advanced: With this tool, we can build more powerful dashboards and as well as simple reports.
Cognos Framework Manager: Cognos framework manager is a tool used to create metadata models which we can use in Report studio or analysis studio.
Cognos Map Manager: Using this tool we can create maps which will allow you to create a new region by using the existing regions.
No result found, try new keyword!IBM has incorporated smart discovery in both its Watson Analytics and Cognos Analytics offerings and it is the leader in ML enabled BI. On the demand side ... design and build its core Metadata model ...
With mergers and acquisitions dominating the business intelligence (BI) industry in recent months, Cognos Inc., Ottowa, will trumpet news of a different kind Sept. 9 with the launch of its long-awaited ReportNet in New York.
The new software will include both business reporting capabilities -- such as ad hoc, inventory and sales trends -- and production reporting, with batch-oriented, high volume reports, company officials said.
Providing simple drag-and-drop report building, ReportNet will integrate seamlessly with Cognos' other BI applications, said Karen Williams, vice president of product marketing.
Several different queries can be built into one report, and they can either be linked or independent. ReportNet is also distributable both inside and outside the firewall, Williams said.
Expectations for ReportNet are high within Cognos, as evidenced by the fact that CEO Ron Zambonini pledged in June to conduct an earnings call for the third quarter naked if ReportNet does not make $10 million.
Initial impressions from financial analysts seem to suggest that Zambonini can keep his clothes on.
ReportNet delivers what the merger of Business Objects SA and Crystal Decisions Inc. promises, according to Steven Li, equity analyst with Toronto-based Raymond James Ltd., but Business Objects and Crystal still need to integrate their products.
"Cognos can already go and knock on customer's doors and point to the [merger] uncertainty, saying, 'You don't know what's going to happen,'" Li said. "I expect Cognos to leverage that quite a bit. Crystal and Business Objects now have two customer bases wondering what's going to happen with that investment. Do they need to move to another application?"
While many of ReportNet's individual features are already available in competing applications, Cognos has managed to combine them into a single tool, said Eric Rogge, vice president and research director for business intelligence with Ventana Research, in Belmont, Calif.
"There is a need amongst businesses today for simplifying their IT infrastructure, especially for BI, having a shorter list of vendors to support," Rogge said. "The ones they do support will have to have a broader range of services. Reporting is very hot right now. Businesses are requesting very simple, somewhat analytic, somewhat report-based applications to do activities like cross-sell, up-sell [and] inventory backlog analysis."
Additionally, ReportNet allows users to embed applications within the reports.
For example, an inventory manager working through a report would be able to call up a purchase order system if an item hits the re-order number. The application would not launch if it wasn't needed, Williams said.
ReportNet is Web services based, and it operates on a multitiered, multiplatform base that fits in with existing data sources, including standard databases, SAP AG's Business Information Warehouse (SAP BW) or enterprise application servers, such BEA Systems Inc.'s WebLogic and IBM Corp.'s WebSphere, Williams said.
ReportNet is being launched in English, Japanese, French and German. Reports can be deployed in any language based on a single metadata model. Users can adjust reports based on browser settings or user preferences.
Cognos is still selling its other reporting applications, though new deployments will be geared toward ReportNet, Williams said. Cognos will release pricing information next week.
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