When it comes to trends, they come and go. However, innovations or ideas related to database management are not just fads that remain alive for a short while and fade away after a while. Instead, database management trends have the staying potential and the power to bring massive organizational transformation.

The rapid increase of business information in the last couple of years due to evolving data technologies, Big Data pipelines, the Internet of Things, and mobile technologies have made organizations to implement enhanced data management practices, of late. Companies are constantly looking for advanced data collation and storage, management of information, data governance and secured data platforms. With the technological changes witnessed in recent years, 2019 will see data technologies flourishing at the intersection of processes, businesses, and users. The trend will lead to a major cultural shift across companies, where teams managing databases and data will start managing their information in a better, smarter way. And in such an environment, employers, employees, as well as the stakeholders will need to focus on enterprise data management for better results. Based on the findings of Gartner, increased data disruptions are expected in 2019 due to advanced technologies such as machine learning, artificial intelligence, and the Internet of Things. Read this article if you want to learn more about database management trends in the coming year:

  1. Enterprise-level and Single-point Data Management Platforms

In 2019, you will see the rise of single-point and enterprise-level data management platforms instead of numerous, disintegrated data solutions in an organization. This trend has been gaining popularity of late. Today, businesses cannot flourish or sustain without scalable, single-point and completely integrated data management solutions for optimized information gathering and sharing across various channels of data.

  1. Data Engineers Will Gain Prominence

The job of data engineers in organizational planning will gain more importance in the coming year. To be candid, teams working on data will fail to work without the assistance of these engineers and information architects. That is because the super-techies have multiple coding skills, especially in SQL programming and knowledge in up-to-the-minute technology. The groundwork for organization data management will help data scientists and analysts to perform specific data-related functions or tasks.

  1. The Future of Data Management

When it comes to transactional DBMS systems, in which a mainframe server serves numerous users, may witness downsizing. Of late, the requirement for increased operational efficiency, better crash recovery techniques, and transaction concurrency has dictated the use of network systems such as hybrid data centers and decentralized cloud networks. Such systems are easy on the wallet to maintain and manage in relation to legacy DBMS systems.

  1. Rapid Transformation in Data Management

Companies will shift towards decentralized information governance from hierarchical data architectures. As far as the tied data storage process is concerned, in which different media is employed for various data types, it will be commonplace in 2019 to improve cost and usage of space. The general data protection regulations (GDPR) will be implemented across all information management platforms and data pipelines for ensuring more data safety, privacy, and authority. Numerous data management functions such as analytics, storage, and business intelligence will be outsourced by small to medium-scale companies and large corporations alike. Saving on on-premise and data center costs is important. Hybrid solutions such as private-public cloud will gain importance due to enhanced productivity and performance across enterprises. You can also read more about database management services on websites like RemoteDBA.com if you like.

  1. Increased Investment in Sophisticated Technology

Though the International Data Corporation (IDC) forecasts that the Big Data market will inflate from $130.1 billion to a whopping $203 billion by 2020, companies will invest more money in sophisticated and high-end technology to avoid the recruitment of Big Data professionals who demand a very high pay packet every month. It shows that Big Data will grow in 2019 with the influx of more Big Data analytics projects, particularly the artificial intelligence and machine learning platforms. Big Data projects will prosper in the coming year due to the emergence of parallel technologies such as cloud processing, data migration, machine learning, and artificial intelligence. Without them, Big Data would never have gained the prominence it has in the last few years. Additionally, companies will deliver more value with data in 2019.

  1. Data Privacy and Security Will Increase

With the increased growth in data volumes, channels, and data types, managing loads of information will become a great challenge in the coming year. When the regulatory bodies are implementing new and stringent rules for handling sensitive information, the importance of data security will increase in 2019. GDPR offers transparency in information management and will indicate what is expected in the digital age in 2019 and after. Companies will have to integrate GDPR within the overall organizational strategy to comply with the rules and regulations formulated by the regulatory authorities. Database administrators will work in collaboration with the security team to get rid of possible internal threats that could lead to a data breach or make information unsafe.

  1. More Focus on Hybrid Cloud

In 2019, you will witness an increased shift towards hybrid cloud solutions. The trend began to address information confidentiality and security issues in outsourced data management settings.

  1. Automated Database Management

Automation in data management is another trend in the coming year. The tools and methods will help in simplifying patching, maintenance, updates, upgrades, project workflow, and provisioning. Then, this trend may have less value because the management of data often calls for human interference frequently.

Conclusion

The organizations are looking for modernized operations for reducing business expenditures and improving efficiency. The survival tactic is compelling enterprises to embrace data management as one of the principal business strategies rather than an additional task. Today, Chief Information Officers are confident about investing money in cloud and database management solutions with an increased emphasis onregulatory compliance and GDPR. In 2019, most of the global business data will move to the cloud as well as opt for SQL database solutions for enhanced information security.

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