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Data Management Trends in 2019

By   /  December 4, 2018  /  No Comments

Data Management TrendsThe sudden growth of business data in recent years due to streaming data technologies and Internet of Things (IoT), Mobile, and Big Data pipelines, has businesses struggling to put better Data Management practices in place. Organizations are constantly in search of advanced data collection and storage, Data Management, Data Governance, and Data Security platforms. Why the Convergence of Two Trends Will Alter the Way Businesses Manage Data addresses the common concerns of global enterprises regarding the risks and challenges of Data Management in the digital age.

Top 10 Digital Transformation Trends for 2019 suggests that given the technological transformation patterns of recent years, the coming year will witness data technologies thriving at the crossroads of businesses, processes, and people. This trend will bring about a major culture shift across enterprises, where Data Management teams will now think of better managing their most important asset—data. In this new data-focused business environment, the business staff, employers, and other stakeholders will also be inducted in the enterprise Data Management culture for higher outcomes.

Gartner’s report indicates more data disruptions are about to happen next year by way of advanced technologies like AI, Machine Learning, and IoT.

The Role of the Data Engineer in 2019

The role of the Data Engineer as an architect of organizational data planning will take center stage in 2019. In fact, data teams will not be able function without these super-techies as they are assumed to have multiple programming skills and advanced technology knowledge to prepare the groundwork for enterprise Data Management, which can be used by other staff like the Data Analyst or the Data Scientist for specific data-oriented functions.

Use of Single-Point Data-Management Platforms

What Next in the Evolution of Data Management? suggests another trend about to emerge next year: the use of single point, enterprise-grade Data Management platforms instead of multiple disintegrated data solutions across an enterprise. This trend has been slowly gaining momentum over the recent years, but now businesses cannot survive without single-point, scalable, and fully integrated Data Management solutions for optimized data collection and distribution across all data channels.

Top Data Management Trends Among Companies that Succeed with Analytics suggests Data Management efforts come at the expense of Data Analytics, and that companies investing more time and effort in managing their data have fewer resources left for Data Analytics.

General Data Management Trends to Stay in 2019

5 Technology Trends transforming Data Management reports that:

  • Enterprises will move toward decentralized Data Governance from hierarchical Data Architectures.
  • The tiered data storage method, where different media are used for different types of data, will be commonplace in the coming year to optimize space usage and cost.
  • GDPR will be put into practice across all data pipelines and Data Management platforms to ensure higher data privacy, security, and governance.
  • Many Data Management functions like storage, Analytics, or BI will be outsourced not only by smaller or medium businesses but also by larger enterprises to save on-premises, data center costs.
  • Hybrid solutions like private-public Cloud will be used for increased productivity and efficiency across organizations.

Database Management Trends to Watch in 2019

Data Management: What Does the Future Hold? provides the inside story behind downsizing transactional DBMS systems, where a single mainframe server served thousands of users. Recently, the need for more operational efficiency, concurrency of transactions, and better crash-recovery methods has necessitated the deployment of network systems like decentralized Cloud networks and hybrid data centers. These systems are also less expensive to manage and maintain compared to legacy DBMS systems.

The Future of Big Data: Next-Generation Database Management Systems talks about modern Big Data databases in use for trading or biotechnology applications. GPUs have provided an excellent solution for storing vast amounts of streaming data, and in-memory DBMS systems provide a way to analyze Big Data in real time. Technologies like the GPU and in-memory DBMS will facilitate parallel processing across multiple GPUs, which is critical for certain types of applications like live trading.

Big Data Management Trends to Watch in 2019

According to the Big Data Executive Survey 2016, conducted by New Vantage Partners, almost 62.5 percent of firms had at least one Big Data running that year. The easy availability of data, cheap data-storage solutions, emergence of advanced automated technologies, and a cultural shift toward insights-driven decisions forced businesses to adopt Big Data in their operations.

While IDC forecasts indicate that this market will expand from $130.1 billion to over $203 billion by 2020, organizations will increasingly invest in sophisticated technology solutions to avoid hiring expensive Big Data Experts. This trend indicates that the Big Data market will grow in the coming years, with 2019 bringing in more Big Data Analytics projects, especially on those AI/ML-loaded platforms.

What’s Next for Data Management and Insight: 5 Trends and Predictions for 2018 confirms that Big Data Projects are prospering due to the emergence of many parallel technologies like Data Migration, Cloud processing, AI, and ML, without which, Big Data Analytics would have remained a distant promise. Along with these developments, the pronounced underlying theme for 2019 is delivering value with data.

GPU and in-memory technologies provide solutions for streaming Database Management systems processing Big Data. Moreover, How IoT, Big Data, and Mobility go Hand-in-Hand in Transforming Enterprise Growth asserts that Internet of Things (IoT), mobile, and Big Data together can transform streaming Data Analysis in the near future.

Data Security & Privacy Management Trends for 2019

As data channels, volumes, and types continue to grow, managing the data will become more challenging, especially when regulatory authorities are imposing newer and stricter norms for handling such data. What are the Top Data Management Trends for 2018? throws a spotlight on Data Governance and GDPR, initiated in 2018. This data privacy trend will continue to mature in 2019.

GDPR provides transparency in data handling and signals what is coming in the digital world in the future years. Very soon, GDPR will have to be integrated with the overall business strategy for businesses to remain compliant. Now that GDPR has been implemented, customers have a reason to rejoice. The private information they share with businesses will not be vulnerable to misuse. Data Management Trends in 2018 brings forth the privacy concerns related to Big Data projects, and provides tips for adopting privacy practices for customer data, which can become a source of additional revenue if managed correctly.

Cloud Data Management Trends to Watch in 2019

3 Cloud Data Management Trends to Watch in 2018, reminds how the 24/7 hosted infrastructure (the Cloud) transformed business operations a few years ago. The year 2019 may witness more shift toward hybrid Cloud solutions, a trend that started to address data privacy and security concerns in outsourced Data Management environments.

The companies are increasingly looking for streamlined operations to reduce costs and increase efficiency. This survival strategy is pushing organizations to adopt Data Management as a core business strategy rather than a side job. CIOs are confident about investing in Cloud solutions today with GDPR in place, and next year you will probably see a major slice of the global business data being migrated to the Cloud.

Data (Insights) As Service Trends for 2019

Companies will also experiment with Data (Insights) as Service in 2019. A trend that gained traction in 2018 is likely to attain new heights, once again, thanks to GDPR and better Data Governance policies.

 

Image used under license from Shutterstock.com

About the author

Paramita Ghosh has over two and a half decades of business writing experience, much of which has been writing for technology and business domains. She has written extensively for a broad range of industries, including but not limited to data management and data technologies. Paramita has also contributed to blended learning projects. She received her M.A. degree in English Literature in 1984 from Jadavpur University in India, and embarked on her career in the United States in 1989 after completing professional coursework. Having ghostwritten and authored hundreds of articles, blog posts, white papers, case studies, marketing content, and learning modules, Paramita has included authorship of one or two books on the business of business writing as part of her post-retirement projects. She thinks her professional strength is “lifelong learning.”

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