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). Since the data comes from different places, it needs to be cleansed, normalized, or transformed in a way that allows you to analyze it together with data from other sources. Each instance could mean significant damage to company reputation, customer churn, and or even potential lawsuits and punitive fines. Rarely do you find an IT team that can afford testing and quality assurance, but content management migration demands it. Image: Mobile App Vs.
Today's enterprises are swimming in a deeper sea of data than at any time in history. 3) Test early and test often. The key challenge here is that you cannot guarantee proper testing without metadata. And, yes, it’s hard to find SAS developers given the development innovations that have taken place since 1966. There are a number of commercial utilities and services available that can assist in monitoring the veracity of each field of data.
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. 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 */. Continue to run tests during your entire data migration. One of the biggest challenges of migration... SAS includes missing values when evaluating conditional statements. 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. 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. This includes creating the database tables and defining any necessary programming code such as stored procedures and database triggers.
The main goal of many organizations, today, is reducing costs while maintaining the highest degree of stability and efficiency. 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.
Check for untrusted constraints on both the source database and the target database before migrating data. -- Execute the stored procedure with the parameter value. Here are the top challenges to keep in mind as your organization prepares to move its databases from one platform to another. 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.
Thus, our developers had to supply the missing data based on context.
Financial and time implications add another layer of complexity to the planning and strategy process. If we had the input definition like this, we would know right away how the data should be formatted. In any migration, there's a treasure trove of high-value intellectual property that may be leaked, lost, or otherwise accessed by unauthorized users (either inadvertently or with malicious intent). After you have completed all the preliminary requirements, you'll need to actually move the data.
Back then, developers used Hollerith Card Codes with each line of code on a separate punch card to process their SAS programs.
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.