Due to the rapid increase of users in this digital world, the demand for database servers is reaching heights. Newer technologies and conceptions like hardware improvements in RAM and CPU, indexing, etc. have enabled servers to perform at lightening-speed. Retrieving thousands of records in a matter of seconds, managing volumes of data on servers with fine security have become possible through these newer technologies.
With quintillion bytes of data being rapidly transferred every day, handling and managing them safely is not less than an uphill battle. Just because cloud technology offers advanced functions and computation possibilities, managing all these data has become easier. However, this is just a tip of an iceberg, there are many other alternatives that make data storage much efficient and effective.
Table of Content
- 1. Protection of data will be a focal point
- 2. Data lakes are among top alternative
- 3. Know the desired business outcomes
- 4. Cloud computing is the leading trend
- 5. Augmented Data Management (ADM)
- 6. Graph Databases
- 7. Adopting MDDBMS (Multi-Database)
- 8. In-memory Database (IMDB)
- 9. Conclusion
In this blog, we will learn about the database management trends that will dominate the future.
Protection of data will be a focal point
"With more and more businesses ramping up their online presence, the exchange of information and potential exposure is moving at lightning speed. Increased focus on data protection along with the legislations that come with it will play a huge role in the future of database management.
Protection of data (from up-to-date patches to protect against vulnerabilities, encryption of data, machine learning to detect anomalies, etc) will be a focal point for providers of database management software and database professionals.”
- Fred Blair, Founder of AwesomeHoops
"Data breaches are becoming regular features in the news and this is driving individuals and organizations to demand better security for their valuable data. Organizations are already seeking unified and end-to-end data governance structures, while consumers are expecting more information about database security so that they know their data is safe. Organizations are going to have to take data security seriously to gain customers' trust and that’s going to mean accelerated innovation in database management to meet the heightened expectations."
- Francesca Nicasio, Content Marketer at Payment Depot
Data lakes are among top alternative
"According to Craig, traditional data centers have sometimes changed in favor of other alternatives, such as data lakes. While a data warehouse can still have a place for specific use cases, such as supporting reports or recurring dashboards that are consumed at a high frequency. However, a data lake can help make these data warehouse systems more efficient by offloading capacity to this newer, more flexible infrastructure.”
- Alana MacLeod from Walker Sands
Know the desired business outcomes
"Know the desired business outcomes that drive your data management modernization effort. Typically, the primary business driver seeks to increase, or optimize, the value of data within an organization. The outcome is better understanding your customers, value-based insights into your services and products, or gaining greater visibility into costs or compliance. To get these outcomes, alignment with the business is crucial to prioritizing how to start modernizing its data management strategy and implementation.
Without knowing the desired business outcomes and priorities, you will likely struggle, or even fail, to meet the need for increasing enterprise data value. A technical solution that provides a beautifully formed and consistent data management platform is undeniably alluring. A technical solution that meets the mission of increasing data value for the business across customers, partners, and lines-of-business will support all aspects of business priorities for growth, innovation, and security.
A business should revisit its data management as often as it reviews its overall corporate strategy. As the corporate strategy evolves, so should its approach to data management. Data is the foundation for supporting resource allocation decisions. Thus, as the corporate strategy is assessed, the approach to data management needs to be reviewed to determine whether the approach can help the business strategy today and into the future.”
- Vince Padua, CTIO at Axway
Cloud computing is the leading trend
"Cloud computing is the leading trend for 2021, as we will witness several businesses undergoing digital transformation. Making the shift to digital means that companies require a lot more done in less time. Faster, real-time processes are able to keep up productivity and manage large remote workforces.
As far as database management is concerned, real-time analytics will be at the centre of all advancements. Technology architecture will be updated to integrate new and old database systems that can keep up with the cloud. Companies are doing this to serve customers that are now demanding high-speed and accuracy for all web/mobile/business applications. Therefore, the use of augmented databases, using ML and AI will so be used to optimize business operations in coming years.”
- Eric McGee, Senior Network Engineer at TRG Datacenters
Augmented Data Management (ADM)
"Historically, data scientists and engineers have spent the majority of their time manually accessing, preparing, and managing data but Augmented Data Management is changing that. ADM uses artificial intelligence and machine learning to automate manual tasks in data management. It simplifies, optimizes, and automates operations in data quality, metadata management, master data management, and database management systems. AI/ML can offer smart recommendations based on pre-learned models of solutions to specific data tasks. The automation of manual tasks will lead to increased productivity and better data outcomes.”
- Todd Ramlin, Manager of Cable Compare
Managing data would become bit complex when you have volumes of data in the database. Graph database enables you to quickly assess and view data relationships at any desired time. This database utilizes nodes and edges (node has entities while edge has relationships) to form data relationships.
This kind of database is highly adopted for Business Intelligence to employ complex analysis. The data retrieval is quite faster in Graph database as it is done through traversing across the edges. The best part is that it helps in fraud-detection.
Adopting MDDBMS (Multi-Database)
MDDBMS would be one of the trends in the near future. This database system would simply help you to manage databases with their organizational schema. With this multidimensional system, you can seamlessly add or remove a database server and enhance flexibility. The ideology of MDDBMS can be compared with the Data cube which shows dimensions of data (defined with hierarchies and levels). Unlike a typical relational database where data is accessed through SQL queries, MDDBMS is accessed through analytical questions. These questions are processes so rapidly that answers would get generated in a matter of seconds.
In-memory Database (IMDB)
In-memory database or main memory database system helps you with lightning-speed response time. The idea is basically keeping the whole dataset in the main memory (RAM) rather than a hard disk drive. This means whenever you query a database, you will have direct access to the data of Random access memory.
Simplified processing, reduced memory consumption, quicker data accessibility, data persistence, high performance, etc. are some of the advantages you can find with this database.
Data loss is a possibility in this type of database however, you can minimize this issue with data persistence and replication techniques.
Technologies have brought a tremendous change in the way servers handle data with enhanced capabilities and structural improvements. Quicker response time and high performance which are difficulties in the past have become possible now because of new technologies. In this blog, we have learned the future database management trends, which will help you to understand the capabilities, features, and importance of each trend.