Challenges of DATABASE MANAGEMENT SYSTEM…
1. Growing complexity in landscape
We alluded to this earlier. As the database market evolves, many companies are finding it difficult to evaluate and choose a solution. There are relational databases, columnar databases, object-oriented databases, and NoSQL databases. Not to mention the plethora of vendors offering their own spin on each.
2. Limits on scalability
The fact is, all software has scalability and resource usage limitations, including database servers. Forward thinking companies concerned about transaction processing capacity know that cataloging components, database architecture, and even operating systems and hardware configuration all affect scalability.
3. Increasing data volumes
As the amount of data generated and collected explodes, companies are struggling to keep up. Research shows that we’ve created more data in the past two years than in the entirety of the human race. Yet, a 10% increase in data accessibility could generate more than$65millio net additional income for a typical Fortune 1000 company.
4. Data security
Databases are the hidden workhorses of many companies’ IT systems, storing critical public and private data. Lately there has been an understandable and high-profile focus on data security. A data breach typically costs a company $4million, not to mention loss of reputation and goodwill.
5. Decentralized data management
Although there are benefits to decentralized data management, it presents challenges as well. How will the data be distributed? What’s the best decentralization method? What’s the proper degree of decentralization? A major challenge in designing and managing a distributed database results from the inherent lack of centralized knowledge of the entire database.
6. Limitations on mitigation
Most software and application apps have limitations. It includes data servers. Forward-thinking companies that focus on transaction volume know their catalog components, data structure, hardware configuration, and computer systems.
They know that all of these can hurt their data loss, and they need to accept the right solutions at the right time.
7. Speed
Everyone hates dealing with slow computers. If every single time that you’re trying to retrieve data, and you’re stressed out, then is high time that you optimize your systems. Ensure that you index correctly and do not include too many joins on SQL queries.
If this isn’t the issue, it’s also high time to enhance your bandwidth, or you may have caught a virus. It is why you must come up with database health checks regularly.
8. Data Integration
Database management may be pretty simple before. However, as you continue to scale databases, new complexities emerge. Now, you’re stumped on how to modify your DBM.
You must integrate data from different sources if you’re offering omnichannel services. You can do this with software that’s specially created for this purpose.
9.Data safety
Data loss costs your business money. Aside from that, this doesn’t count you losing your business reputation and the possibility of it closing down.
While your database should process your data to ensure nothing will be lost, ensure that you always back up your data. See to it that you duplicate information and then store copies separately. Doing so will spare you from unnecessary hassles down the road.
