3 steps for better data integrity

 

Migration, management and Monitoring of databases 3 steps for better data integrity

Often it is better not to have any data at all than to have to rely on bad ones. Because a lack of data integrity quickly leads to erroneous assumptions and wrong decisions. So what do companies need to consider, do they want to ensure the integrity of their most valuable asset?

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Migration, administration and monitoring are the three key words that are decisive for modern data management.Migration, administration and monitoring are the three key words that are decisive for modern data management.

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Data is the foundation of digital transformation. With their help, companies make important decisions. Therefore, they have become indispensable. However, this development is also accompanied by a number of challenges. This means that data can quickly lose its usefulness, especially if its management is inadequate or if the systems on which it is stored have weaknesses.

Accordingly, the most important measure is the introduction of comprehensive database management, with the help of which data integrity can be ensured throughout the entire life cycle. One hurdle is the fact that the technology around databases has increased in complexity in recent years. The reason for this trend is the steady growth in the amount of data to be managed and the need to keep data available around the clock.

The consequence of this development is that IT managers spend many hours managing databases instead of being able to devote themselves to forward-looking initiatives such as cloud migration, open source implementations or DevOps. Database management is therefore a brake block of digital transformation for many organizations. And this is developing analogously to the growth of the company.

In order for IT teams to take care of significant future projects, they must overcome current technical hurdles and find the right solutions to ensure the management and monitoring of their database environments. For this it is necessary to implement three steps:

Step 1: Migration of databases

In order to drive the rationalization of the database management system, it is first necessary to determine which data is where. In many organizations, this shows that they use a hybrid approach to store their data. So there is already data in the cloud and others are stored in your own data center.

Basically, different storage locations do not pose a major challenge. In contrast, data migration always carries risks. For this reason, organizations need to pay attention to several points in order to limit the risk during migration processes.

Unless a company was founded recently, cloud migration is an ongoing process. In General, the Cloud offers a variety of benefits, including reduced maintenance costs, increased reliability, and greater flexibility. Especially in the case of databases, these characteristics are of considerable importance.

However, with an increasing amount of data hosted and processed in the cloud, the necessary expenses inevitably increase. In order to keep costs under control, IT managers are well advised to verify which data they have and how they are used most effectively. You also need to balance the benefits of the cloud with your costs.

If these considerations were already taken before a migration process, a subsequent return of certain data to your own data center can be avoided. This reduces the risk of data loss or damage associated with any migration process. Unnecessary data migrations should therefore be avoided.

In addition, synchronization of databases has the highest priority. Especially for companies that want to reduce their database utilization, it is essential to keep them in sync. Regardless of whether you want to distribute the data to different storage locations or outsource the reporting.

Carefully implementing this step helps IT outsourcing managers to ensure low downtimes and the integrity of the data. Minimizing the impact of a migration on users and maintaining the integrity of the data pool allows organizations to derive far greater value from their data than would otherwise be possible.

Step 2: Automate database Management

Database management is often associated with tons of work. And although the vast majority of companies rely on database tools in different forms, this changes very little in the effort involved in managing the databases-and that alone to maintain the actual state.

But the complex process of database management can be simplified: time can be saved by automating routine tasks such as script execution or health checks. In addition, automation helps to comply with legal regulations on personal data, keyword discovery processes.

Database management also plays a major role when it comes to introducing agile methods in software development. DevOps with automated processes such as Continuous Integration & Delivery are already used by a large part of organizations. However, there are often difficulties in implementing new applications.

All too often this is due to the database access of the new programs, for which the necessary changes to the database usually have to be made manually. This only partially implemented automation means that money and time are wasted.

Step 3: Establish in-depth monitoring

Once the migration and management of the databases are under control, the performance of the databases must be examined in a further step. For this purpose, extensive monitoring of all databases in the hybrid environment should be introduced. Monitoring database performance is a crucial factor in keeping performance at a high level over the long term.

As the complexity, size and heterogeneity of IT environments increases, so does the importance of monitoring. In order to enable IT teams to monitor performance as extensively as possible, database monitoring should include real-time data, simplified analyses, and data on all functions of the database. Thus, the managers can actively ensure the performance of the database, regardless of where the database is located.

For companies, databases are an integral part of their work in the vast majority of cases. Therefore, you should avoid all risks that threaten the secure operation of the database. Given the complexity, some may think that the status quo should remain intact, but this would have unforeseeable, mostly negative consequences.

Ales Zeman

Ales Zeman (Image: Quest Software)

In order to keep up with the requirements of digitization and to be able to update applications faster as a company, to react more flexibly to market changes and to improve the further development of program codes, migration, administration and monitoring of databases are indispensable. This ensures that organizations can respond to business developments in an agile and adaptable manner. In times of digital transformation, this can make the crucial difference between success and failure.

* Ales Zeman has been with Quest Software for over 19 years. Within the company, he heads the Sales Engineering & Professional Services department in Europe, the Middle East and Africa for the Information Management division. In his Position, he is responsible for solutions for application and database Performance Management.

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