#Sas interview questions how to
#Sas interview questions update

SAS OLAP server provides access to multidimensional data. Oracle, DB2, and Teradata are examples of relational databases.

On the other hand database server provides relational database service to a client. SAS application server provides SAS services to a client. What is SAS application server, database server, SAS OLAP server and SAS metadata server? Star schema is defined as database in which single fact table is connected to multiple dimension tables.

#Sas interview questions update

The dimension are structured to minimize update anomalies and to address single themes. Snow flake schema is defined in which a single fact table is connected to multiple dimension tables. Each time the address or income changes for a customer, a new row could be created for that customer in the dimensional table and old row could be retained. For example, a dimension table named customers might have columns for customer id, home address and income. This is the technique for tracking changes to dimensional table values in order to analyze trends. The data staging area is everything between the operational source systems and the data presentation area. Staging area of the data warehouse is both the storage area and set of process commonly referred as extract transformation load. It is the access by selected business users to raw (untransformed) data loads. This process exists to manage updates of business rules to maintain a level of consistency. It is the robust, reliable, repeatable and controlled process both at point of input and through subsequent downstream control checks. Setting target-based options to optimize the performance.

#Sas interview questions how to

Allows timely and reliable reporting, as data quality is the prime technology for business challenges.ĭescribe how to adjust the performance of Data Integrator? Risk adjusted profitability management as it allows accurate data extraction. Makes reporting, monitoring, placing customer information across the enterprise flexible and convenient. What are the benefits of data integration?įollowing are the benefits of data integration: Header Column – Lists the name of the columns.

Pivot Set – A group of pivot columns, unique data field and header column.ĭata Field Column – It contains the pivot data along with pivot columns values. Non-Pivot column – The columns that need to appear in the target. Pivot Sequence Column – Data Integrator increments a sequence number for every row created from a pivot column. More than one pivot column can be set as per the need of application’s data integration. One or more columns in a primary key cannot contain null values.ĭata Integrator produces a row in the output data set for every value in the designated pivot column. While on the other hand table can have only one primary key. A table can have one or more unique keys. Unique key is one or more columns that can be used to uniquely identify a row in a table. What is the difference between unique key and primary key? It is a metadata object which determines how to extract data, transform data and load data into data stores.Ĭhange analysis is the process of comparing one set of metadata to another set of metadata and identifying the differences between the two sets of metadata. What is transformation in SAS data integration? Useful for merging information from different technologies among enterprises. Information from different enterprise domains are integrated – known as Enterprise Information Integration. The combined data is provided to the users with unified view.

The process of combining data from different resources.