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SAS BUSSINESS INTELLIGENCE
Business intelligence with brains and brawn. ... Put analytics and BI tools where people work most. Only SAS drives faster adoption by surfacing results and key insights in Microsoft Office applications, including Outlook and Excel. Exchange ideas and insights. Business users can easily create storyboards or narratives and have meaningful conversations about results.
Business intelligence in SAS comes in many forms and bundled by product or solution. Likewise, SAS packages vertical BI tools for different industries. The main business intelligence and analytics features include: Visual data exploration. Easy analytics. Interactive reporting and dashboards. Collaboration. Mobile access.
What is SAS? SAS or Statistical Analysis System is a suite of enterprise systems developed by SAS Institute for different analytics aspects. The systems encompass a wide range of business intelligence including multivariate analysis, predictive analytics, advanced analytics and data management.
You can use the insights generated by SAS business intelligence tools for long-term and short-term goals and across organizational tasks. The main benefit is that you generate insights; however you use the knowledge can be applied in different ways, such as:

PRASAD
10+ YEARS EXPERIANCE IN SAS BUSINESS INTELLIGNECE
SAS BUSSINESS INTELLIGENCE
Change ManagementOverview of SAS 9 Enterprise Intelligence Platform and SAS Data Integration Studio
Designing the Course Data Mart
Creating Reports
Job Scheduling
SAS/Enterprise Guide
Introduction
Reading Data from Files
Creating Reports
Working with Data in the Query Builder
Joining Two Data Files Together
Q1) Explain Data Dimension?
Data Dimension in the SAS DI is defined as the data in between the customers, products, and organization that can be accessed with the governance of data. Generally, we need to acquire the best support of all the business data views with great self-service reporting. With the help of this data dimension, you can completely view the strength and capability of the clients, products as well as the organization.
Q2) Explain Data Access?
The Data Access in SAS Data Integration is defined as an approval that was selected by the particular business users for the sake of large data loads.
Q3) Define Data Governance?
Data Governance in the Data Integration is a repeatable, affordable and robust process, which downstream all the down checks. This process will able to manage all the updates that can maintain all the consistency of the data.
Q4) What is Exception reporting in DI?
The exception reporting in the DI is mainly used to report the data which include more data issues.
Q5) Explain multi-dimensional reporting?
The multidimensional reporting in the DI will allow the users to make the aggregate analysis for the business metrics across the wide range of business dimensions.
Q6) What is meant by dimension tables in DI?
The dimension table in SAS Data Integration is defined as the integral component for the fact table, as it contains the more textual explanations regarding the business. These dimension tables in the DI is a well-designed model which may contain more attributes and columns, as they will describe the dimension of the row table and serves as the main source of reporting labels.
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Q7) Explain the data staging area in DI?
The staging area in the DI is defined as the data warehouse which can store the data and process it normally in order to extract more transformation. This data staging will always happen in between the data presentation area as well as the operational source systems.

Q8) Describe star schema and snowflake schema?
The star schema in the DI is described as the set of the database where the single fact table is subjected to the multiple dimension tables, whereas the snowflake schema is stated as the single fact table is interlinked to the multiple sets of dimension tables in order to reduce all the themes.
Q9) Explain the main difference between the primary key and unique key?
Unique key in the DI is nothing but a key which contains one, two or more columns, which can be usually used to identify the particular row in a table. The value of the unique key is always equal to null, whereas the primary key has one values that don't have a null value.
Q10) What is meant by SAS metadata server, SAS application server?
The SAS metadata server in the data integration will be able to provide all the metadata management services according to the request that will be raised on the client application. While the SAS application will directly provide their immense services to the customers without any hassle.
Q11) Explain the terms operational system and operating data?
The operational system in the data integration of SAS will have a set of multiple programs which can provide the major source for the particular data warehouse, whereas the operational data can provide the single source for an entire data warehouse.
Q12) Describe the importance of SAS Management Console?
The SAS management Console in the Data Integration is mainly used to provide the great user interface in order to perform all the tasks that are done by the SAS administration.
Q13) Determine the transformation that can be used in the SAS data integration?
Metadata Object is the transformation, which is used in the SAS DI in order to evaluate the process of extracting data into respective data stores.
Q14) List out few data transformation which is used in the SAS DI?
The following are some of the listed data transformations which are mainly used in the SAS DI:
- Fact table lookup
- Data transfer
- Data Validation
- Surrogate key generator
- SAS Sort, SAS splitter, SAS rank
Q15) What is metadata object?
Metadata object is nothing but a group of attributes which describes a server, a user, a table and other resources on a network.
Q16)Explain the change analysis in SAS Data Integration?
In SAS Data Integration, change analysis is used to identify the differences between two sets of metadata and also compare 1 set to another set of metadata.
Q17)Write a brief description about interaction table in SAS Data Integration?
In SAS Data Integration, interaction table tells the relationship between 2 or more tables.
Ex: consider the intersection table which describes the many - to - many relationships between table of groups and table of users.
Q18)Explain about the scheduler and mention name of the scheduler for scheduling the job?
CONTROL-m is the scheduler for scheduling the job and also process flow, view, and dependencies for the user. So, they can optimize business processes efficiently, easily and data in a center which includes different platforms like Microsoft, Windows, VMS, and Unix.
Q19)what is the differences between foreign key, primary key, surrogate key, retained key, alternate key, generated key and business key?
- Foreign key: It has 1 or more columns which are related to unique key or primary key in another table and also dependent upon its related keys in the table. We can have more than one foreign key in one table. We cannot apply foreign key in the table without primary key or unique key in another table.
- Primary key: primary key is defined as that columns contain unique and not null values.
- Surrogate key: When rows are added and updated then the surrogate key generate unique integer values sequentially. In order to connect to specific dimensions in the fact table, and the surrogate key includes as a foreign key.
- Retained key: In dimension table, the primary key has numeric column is nothing but a retained key of that table.
- Alternate key: Unique key in the table is also said to be alternate key.
- Generated key: It is used to identify the unique rows in the table and contain only one primary key. There are no null values which contain the primary key. The generated key is used to implement the retained keys and surrogate keys.
- Business key: The dimension table has one or more columns which comprise the primary key in the source table.
Q20)Explain the cons and pros of the SAS DI?
By enabling the rapid generation of data warehouses, data streams and data marts which reduces the development time of SAS data integration. The SAS DI sometimes can have performance issues and generate very complex code that is very hard to decode.
Course Batch Timings
Course Features
Live Instructor Led Course
100-120 hrs of Class room or Online Live Instructor-led Classes conducting by industry domain specific professionals with lab support. Weekday class: 50 sessions of 2 hours each. and Weekend class:32 sessions (16 weekends) of 3 hours each.
Live project or Real-life Case Studies
Live project based on any of the selected use cases, involving DATA SCIENCE.
Assignments
Each class will be followed by practical assignments and interview questions which can be completed before the next class.
24 x 7 Expert Support
We have 24x7 offline and online support team available to help you with any technical queries you may have during the course or After the course.
Batch Flexibility
Yes, you have batch flexibility here. Once you join in Stansys you can attend classes in any batch or N number of batches within 1 year with same faculty.
Course Certificate
Yes, we will provide you the certificate of the attended software training course or to download (Certificate.pdf) soft copy version to their personal e-mail id (Who is attended training with us).
1 Year validity
You get 1-year validity for live classes (classroom/online) and lifetime access to the Learning Management System (LMS). Class recordings and presentations can be viewed online from the LMS.
Money back guarantee
You can cancel your enrolment within 7 working days. We provide you complete refund after deducting the administration fee(Rs.500/-).
Forum
We have a community forum with students and industry professionals for all our customers wherein you can enrich their learning through peer interaction and knowledge sharing.
Server Support
24*7 Server Support is Avialable
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