This includes creating the database tables and defining any necessary programming code such as stored procedures and database triggers. To this end, we should think out of the box about how we can help to achieve this as DBAs. For many teams, the primary obstacle to developing a database migration strategy is deciding whether to pursue a "big bang" migration, in which the migration is completed in one step, or to leverage a more methodical, incremental approach called a "trickle" or "parallel run" migration. -- Execute the stored procedure with the parameter value. 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. Due to the sheer volume of records you need to move, you may run into various issues with your source data. Here are the top challenges to keep in mind as your organization prepares to move its databases from one platform to another. If you are considering moving from SAS to a more comfortable solution, contact us to learn how to take advantage of our SAS and SQL Server experience for your SAS migration projects. The challenges of migration from SAS split into two groups: common challenges and challenges that refer to initial SAS solution architecture. Going through the process of finding all the places where one piece of data is stored and ensuring it’s only stored once—in the correct place—in the new content management system is known as data normalization. In this example, the metadata is fairly easy. With Oracle, you can assign a non-scalar condition in the WHERE clause. One of the biggest challenges of migration from SAS to the Microsoft SQL Server is that SAS has very specific processing mechanics that cannot be directly converted to SQL. For example, the following SAS code produces 2 tables in one code statement with a check for a null numeric value in table1.column2. 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. SQL Server Migration Challenges. Back then, developers used Hollerith Card Codes with each line of code on a separate punch card to process their SAS programs. Your organization could be harmed if you lose even one record! To help avoid these problems during your own migration, we’ve identified three of the most common data migration challenges you could potentially face. Here are a few elements that add to this complexity, and techniques to solve these challenges: 1) Data transformations: Every mainframe stores data in a certain way—and if you’re using an outdated data storage format, you may need to transform the data if you want to store it in a modern database (like Oracle or SQL Server). We recommend pulling at least 10-20% of your data to ensure you’re covering a wide breadth. 2) Codified fields: Storing 30- 40-digit claim numbers in a single field may be common practice in your current content management system, but if you’re migrating to a new system, it may be helpful to break these types of codified fields up so their easier to use. 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. Your comment may not appear immediately. For example, if you remember that your content management system experienced a glitch in March 2013, make note of it and test all the 3/13 records separately to ensure data quality. If we had the input definition like this, we would know right away how the data should be formatted. Keep in mind, Anthony Barr developed the SAS language starting in 1966 to run on an IBM System/360 mainframe. Each instance could mean significant damage to company reputation, customer churn, and or even potential lawsuits and punitive fines. Any anomalies or errors in the datasets or databases must be addressed prior to the database migration. 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. Microsoft Business Intelligence Solutions, Migrating an On-Premises SAS System to Microsoft Azure HDInsight. 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. All database migration projects are unique Differences in DBMS, configurations, SQL code, front-end applications, third-party tools, etc. One of the biggest challenges in migrating databases is making sure to locate the various databases in your environment and deciding how you'll normalize data and convert schemas. Identifying Disparate Databases. If the output doesn’t match your expected number, you’ll need to do some research to find out why. From remotely connected devices like wearables and smart televisions to core enterprise apps such as CRMs, ERPs, or monitoring platforms, there's virtually never a shortage of data to use for insights and strategic planning. Best of luck! Published at DZone with permission of Garrett Alley, DZone MVB. But, migrating the data is pretty straightforward. Our comments are moderated. And if your company … To achieve the same results in T-SQL we added the additional condition or column2 is null to the SQL query. The approaches include: 1. 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. In this post, we will talk about one of the challenges when migrating SAS DATA step modules to the Microsoft SQL Server — SAS missing values versus SQL Server NULL. For example, we have a piece of SAS code that adds to table2 all values that are less than 20 including the missing values. If you’re able, it’s certainly worth it to partner with a team of experts who are familiar with data migration and can assist you in the process. The DB Best team analyzed our customers’ initial SAS solution and determined that the best possible option was to migrate their workloads to Microsoft SQL Server. The main goal of many organizations, today, is reducing costs while maintaining the highest degree of stability and efficiency. Data Loss Or Corruption. In those instances, and in many others, it makes sense to migrate databases from one platform to another. With punch cards, there was no way to directly represent enter NULL values for missing data. Over time, every company accumulates data. To learn more about three specific areas to consider regarding your data transformations, take a look at this article. That’s why SAS uses a single space for character values and a period symbol for numeric values. Marketing Blog. Enabling encryption slows performance because the extra overhead that is required to encrypt and decrypt packets. The schema is a blueprint of how the database is structured, and it varies based on the rules of a given database. By doing so, you’ll be able to quickly see the relevant information (like the sequence number, member identifier, date, etc.) 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). With complexity comes problems—which usually cause lengthy delays in the migration process and massive headaches for you and your team. We also recommend getting technical team members involved at the outset so they can contribute to your risk analysis. Thus, our developers had to supply the missing data based on context. In a particular case, our customer supplied CSV files that do not provide for storing metadata. Join the DZone community and get the full member experience. Developer After you have completed all the preliminary requirements, you'll need to actually move the data. All Rights Reserved. followed by a-z, -- Copy the data from table1 into table2 where t1.column2 is null, -- Then, copy the data from table1 into table2 where t1.column1 is not null, /* This expression includes missing values */. SSRS migration opens door for new issue and challenges due to feature update but also it welcomes new feature that comes with newer version of SSRS. Let’s face it: Any data loss or corruption can be a major problem. However, for many organizations, getting any value from that data has historically been difficult. © Business 2 Community. One of the biggest challenges of migration... SAS includes missing values when evaluating conditional statements. You need a deep analysis of each case for the merge operator, modify operator, and conditional processing using SAS Base variables for intermediate calculations. According to SQL logic, the corresponding code in SQL won’t include the null values and thus will produce very different results. Today's enterprises are swimming in a deeper sea of data than at any time in history.

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