Get the free Better Hashing in SAS 9

Paper 3062008Better Hashing in SAS 9.2 Robert Ray and Jason Second SAS Institute Inc., Cary, NC ABSTRACT The DATA step hash object is one of the most versatile new features of Base SAS programming.

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How to fill out better hashing in SAS:

1. Start by understanding the purpose of better hashing in SAS. Hashing is a technique used to improve the efficiency and performance of data lookup operations. It involves converting data into a unique and shorter representation or key, which can then be used for faster data retrieval.
2. Identify the variables or data that you want to hash. In SAS, you can hash both character and numeric variables. It is important to choose variables that are appropriate for hashing, such as variables that are frequently used in data lookup operations.
3. Determine the appropriate hash object to use. SAS provides different types of hash objects, such as simple hash objects, ordered hash objects, and hash iterator objects. Each type of hash object has specific features and advantages, so it is important to choose the one that best suits your needs.
4. Declare and define the hash object. In SAS, you need to declare and define the hash object before you can start using it. This involves specifying the input and output variables, as well as any optional parameters or conditions.
5. Load the data into the hash object. Once the hash object is declared and defined, you can load the data into it. This is typically done using a DATA step or a SQL query. Make sure to properly specify the input and output variables, as well as any necessary conditions or filters.
6. Perform the necessary operations with the hash object. Once the data is loaded into the hash object, you can perform various operations, such as adding, modifying, or deleting data. These operations can be based on specific conditions or criteria, and can be done using different hash methods or functions.

Who needs better hashing in SAS:

1. Data analysts and statisticians who frequently perform data lookup operations can benefit from better hashing in SAS. It can significantly improve the efficiency and performance of these operations, allowing for faster and more accurate data retrieval.
2. Developers and programmers who work with large datasets can also benefit from better hashing in SAS. It can help optimize the processing time and resource usage, leading to faster and more efficient code execution.
3. Organizations or industries that deal with data-intensive applications, such as banking, telecommunications, or healthcare, can greatly benefit from better hashing in SAS. It can enhance the overall data management and processing capabilities, leading to improved operational efficiency and customer satisfaction.

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