Full Form of DBS, Database Systems 

The Applications of Using Database Systems

1. Database systems allow businesses to store and retrieve data more quickly, making operations more efficient.
2. By storing data in a structured format, databases reduce the risk of errors due to incorrect entries or duplication of data.
3. With database systems, users can access the same data from different locations and platforms, providing increased flexibility and mobility.
4. Database systems come with features such as audit trails and encryption, which can help businesses secure their data.
5. Database systems make it easier to automate processes, allowing businesses to concentrate on strategic decision-making rather than mundane tasks.
6. Data stored in databases can be quickly and easily analyzed through query writing, leading to improved business intelligence.
7. Databases are built to be easily scalable, meaning businesses can quickly add more capacity or expand the data sets as needed.
8. Database systems provide an easier way to share data between users, allowing for better collaboration.

Database Design: Strategies for Creating an Effective Database Structure

• Understanding Data Relationships: Examining the connections between different types of data and how they can be organized. 
• Normalization: Streamlining the database by organizing data into entities, attributes and relationships. 
• Entity-Relationship Modeling: Diagramming data into entity classes and relationships. 
• Structured Query Language (SQL): Creating queries to manage and interact with stored data. 
• Data Warehousing: Combining data from multiple sources into a single repository. 
• Database Design: Planning and designing databases for efficient storage, retrieval and updating. 
• Data Mining: Analyzing large datasets to uncover hidden patterns, correlations and trends. 
• Data Visualization: Presenting data visualization in an accessible and understandable way. 
• Big Data Analysis: Using advanced technologies to analyze and interpret large data sets. 
• AI and Machine Learning: Using algorithms to automate data analysis and improve predictions. 
• Security and Access Controls: Ensuring secure access to databases and data governance.

The Future: What's Next in Database Technology?

1. The future of databases lies in an ever-changing technology landscape, with the development of new advancements in storage systems, search engine technology, and data modeling. Database technologies that are being developed, such as graph databases and columnar databases, are being used by businesses and consumers alike. 
2. We can expect to see more features focused on consolidating data, such as union queries, as well as more technologies, such as machine learning and artificial intelligence, allowing users to gain deeper insights into trends, generate more accurate forecasts and gain valuable commentary.
3. The next big advancement in database technology will likely be a shift to the cloud due to the increased flexibility, scalability and cost-effectiveness provided. The shift to the cloud will enable organizations to connect with other companies, enabling them to use the same set of databases.  
4. Ultimately, the future of database systems lies in continually evolving technology. This can include creating smarter systems and applications, such as predictive analytics and automated processes, as well as creating a far more agile infrastructure for data. By creating a more interconnected database, businesses can gain a greater insight into the data their organization holds, leading to a much more data-driven approach to their decision-making.