Each instance could mean significant damage to company reputation, customer churn, and or even potential lawsuits and punitive fines. We’d like to share with you how we overcame the challenges of dealing with SAS missing values when migrating our client’s SAS DATA step modules to SQL Server. Blog: Challenges migrating SAS solutions to SQL Server – Missing Values versus NULL Overcoming the gap between SAS missing values and SQL Server’s use of NULL. Depending on the database size and available system resources it may take days to perform the initial data load that could take applications offline for minutes at a time. Your challenges will appear when you start looking at any stored procedural code that needs to be translated and the application code itself that will need to be setup to use the appropriate Oracle drivers, etc. The approaches include: 1. Over time, every company accumulates data. In those instances, and in many others, it makes sense to migrate databases from one platform to another. You should know before the data migration process begins how many records are brought in and how many records you should produce in the new system (keeping in mind it’s not always 1:1, as some records in your current content management system could be duplicates). Thus, our developers had to supply the missing data based on context. And here is an example of how we translated this code using T-SQL: SAS treats a missing value as meeting a condition by default. The migration strategy you select may be influenced by a variety of factors including: allocated budget for the initiative, timeline or time constraints, and your available human resources to execute the migration. In this step, your team performs reporting tests within the destination system to validate performance before migrating the application over. According to SQL logic, the corresponding code in SQL won’t include the null values and thus will produce very different results. Let’s face it: Any data loss or corruption can be a major problem. Since developers supply it on their own, they need to double-check to determine if they were right and this approach is very time-consuming. Below mentioned all problem statements are related to migration of SSRS-2008R2 to SSRS2017 and Oracle12c have been used as report datasource that might not be relevant to other version of SSRS and other report datasources like (SQL Server, MySql … We recommend pulling at least 10-20% of your data to ensure you’re covering a wide breadth. Challenges migrating SAS solutions to SQL Server – Missing Values versus NULL, /****************************************************************, /* table2 will have data from table1 where, /* table3 will have data from table1 where, /* Note: SAS allows the use of . After you have completed all the preliminary requirements, you'll need to actually move the data. SQL Server Migration Challenges. To help avoid these problems during your own migration, we’ve identified three of the most common data migration challenges you could potentially face. Not all database system components can be migrated In most cases, logins cannot be migrated Third-party applications may not be compatible with SQL Server Embedded and dynamic SQL code has to be migrated manually Applications may require new drivers/connectors Scope of database migration … Data is frequently housed in multiple data lakes and disparate siloed on-premise and cloud databases, making it nearly impossible to employ artificial intelligence (AI) or machine learning solutions for real-time analytics and actionable insights for strategic decision making. There are a number of commercial utilities and services available that can assist in monitoring the veracity of each field of data. Join over 100,000 of your peers and receive our weekly newsletter which features the top trends, news and expert analysis to help keep you ahead of the curve. However, for many organizations, getting any value from that data has historically been difficult. Image: Mobile App Vs. Are the right number of characters in each claim number field? The first less complicated, but definitely not pleasant issue, is that SQL Azure requires each table to contain a clustered index, otherwise you won’t be able to insert any data to it. -- Execute the stored procedure with the parameter value. This step may involve user-driven random testing to ensure the destination system is in sync with the source database prior to the cutover or employing computer-driven testing for exact data accuracy analysis. Specifically, SAS stores missing values differently based on the data type. "A goal without a plan is a wish," as the saying goes. 3) Test early and test often. Your comment may not appear immediately. If the SAS code doesn’t explicitly check for a missing value, then you need to assume that you should include missing values when migrating the functionality to SQL Server. All database migration projects are unique Differences in DBMS, configurations, SQL code, front-end applications, third-party tools, etc. To this end, we should think out of the box about how we can help to achieve this as DBAs. Moving entire databases seems like a simple process. They were long term customers of SAS but were now facing two key challenges: high SAS license costs and the fact that SAS developers could not keep up with business demands and provide for effective support. Managers for a well-known accounting and tax-preparation company contacted DB Best looking for an alternative solution to a big problem. Microsoft Business Intelligence Solutions, Migrating an On-Premises SAS System to Microsoft Azure HDInsight. With complexity comes problems—which usually cause lengthy delays in the migration process and massive headaches for you and your team. In this example, the metadata is fairly easy. Developer Marketing Blog. All rights reserved. This may involve scripting, using an ETL tool, or some other tool to move the data. © Business 2 Community. I used Sybase ASE as the example migration source, but it equally applies for SQL Server. Here is another example where the metadata code for library dw and the value of the ty variable were embedded in %include files. Once you've moved the data, you need to verify that the data: was moved correctly, is complete, isn't missing values, doesn't contain null values, and is valid. 2) Test a large volume of data for quality assurance. If the output doesn’t match your expected number, you’ll need to do some research to find out why. As a result, SQL Server Migration Assistant (SSMA) for Oracle doesn’t convert queries with a non-scalar condition in the WHERE clause, instead generating an error O2SS0001.
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