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9 latest Big Data Management trends in 2020

Big Data Management Trends

Streaming technology and the Internet of Things (IoT) have propelled the sudden growth of business data in recent years along with Mobile and Big Data Pipelines. Businesses are struggling to create Data Management practices that are both concrete and functional, leaving organizations in a constant search for aspects like governance and security.

Latest big data management and analytics trends in 2020

Given the speed of technological transformation patterns, experts believe that 2020 will create data technology trends that combine businesses, people, and processes. That means a major shift in company culture, one that almost exclusively focuses on the management of data. Here are the latest big data management trends taking shape in 2020.

1. Changing Roles

Data engineers will take their role as architects of organizational data planning. Without these tech-savvy individuals, data teams would cease to function. These teams will rely on engineers’ advanced knowledge and programming skills to create a sound Data Management platform that analysts and scientists can thrive in.

2. Single-Point Management

The use of single-point Data Management platforms is expected to take hold this year, replacing multiple disintegrated solutions across numerous industries. Single-point platforms allow for easier scalability and fully integrated management solutions that optimize data collection as well as distribution.

As this trend gains momentum, companies face an unforeseen consequence. Investing more time and effort into management leaves fewer resources for Data Analytics. No solutions are posed as of yet, but the change to single-point platforms is a necessity for many.

Related read: What’s missing from your growth strategy for 2020

3. The Cloud

The cloud isn’t new, but its presence has almost phased out DBMS systems where single mainframe servers handled thousands of users. Why? The could offer more operational efficiency, simpler crash recovery methods, and concurrency of transactions. Plus, cloud systems remain less expensive to maintain than legacy DBMS systems.

That isn’t to say that DBMS systems cannot serve a more useful function, however. Their ability to analyze Big Data real-time is still needed. Combined with GPU’s ability to store incredible amounts of streaming data, the two can facilitate parallel processing for applications that focus on things like live trading.

4. Solutions over Experts

IDC forecasts that the Big Data market will grow to $203 billion by 2020, but 2019 is already seeing a shift in the way companies seek solutions. Many are favoring technological solutions of hiring expensive Big Data experts in an effort to save cost.

Learn more about one such solution at this source:

Whether or not this course of actions is the best solution, finding answers in technology has worked well for companies using AI/ML-heavy platforms. However, it seems as though the technology to fix technology is a viable solution.

5. The Measure of Value

From Data Migration to AI and Cloud Processing, 2019’s focus is on delivering value with data. Value works for both the user and the company. Users receive a higher quality service in both applications and streaming, while companies can better understand and analyze data. GPU and in-memory tech will provide the means to process this data for a more in-depth understanding.

6. Facing Challenges

Data channels, types, and volumes are continually growing, which causes companies to face the challenge of managing data as it grows. Authorities imposing stricter regulations for handling this data also adds complications. Businesses will have to look towards Data Governance in 2019, maturing this aspect of their operations.

Specifically, GDPR will be needed to provide transparency in handling data as time goes on. Integrating GDPR into business strategies will help organizations remain compliant. This gives customers the privacy they require while securing vulnerable information at the company level, both of which can be used as additional sources of revenue when privacy practices are properly implemented.

7. The Hybrid Cloud

The Cloud was a game-changer when it hit the scene, but companies in 2019 will shift towards hybrid cloud solutions to address the privacy and security concerns Data Management poses. These hybrids must streamline operations, increase efficiency, and reduce cost at the same time to be viable.

This trend comes from a push to make Data Management a core component of operations rather than a secondary aspect. With GDPR in place, CIOs find themselves confident in these cloud solutions. 2019 will most certainly see global businesses migrating their data to cloud technology.

8. Experimentation

It is expected that companies will begin to experiment with Data Insights in 2019, making them a service. This trend gained popularity towards the end of 2018, but experts believe it will reach new heights in 2019. First, however, companies will have to implement GDPR and revamp their Data Governance policies for proper implementation of Data Insights as a service.

9. Looking to the Future

It’s unsure which trends will take hold and which will fall to the wayside as businesses look to the future, but the above is where experts in Data Management believe the field is headed. As aspects of data rapidly advance, it will be up to how organizations implement and manage them to find viable solutions.

Read Next: 15 latest e-commerce trends to watch out for in 2020
Guest Author: Wendy Dessler

Wendy Dessler is a super-connector who helps businesses find their audience online through outreach, partnerships, and networking. She frequently writes about the latest advancements in digital marketing and focuses her efforts on developing customized blogger outreach plans depending on the industry and competition.

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