More technology users and businesses are seeking for more information and data for valid reasons. Data management is a commodity that is leading to digital innovation. However, there is a big challenge when it comes to converting data into actionable insights. Digital innovation is today needed to help business organizations find a solution to the above challenge with success.

Trends for 2019- what should you be aware of?

Given below are some of the latest trends predicted for 2019 that businesses should look out for when it comes to data management:

  1. Data management is still a tough task- When a company is managing huge volumes of data like big data, the process becomes a complex one. The business should take steps to search for interesting patterns that are hidden in these large amounts of data. Machines should be trained in such a way that they are in a position to spot these patterns and incorporate them into production so that they can be acted upon. The above should not only take place once, but it should be repeated as many times as necessary. Experts in the field of data management add that this reality of putting the basics into production is a complex task and seems harder than it appears to be. For new businesses, the task is even tougher as the business needs an expert database and ETL skills. The business should take the onus of cleaning and putting labels on the data. The training for machine learning takes a lot of time and money, especially in the case where deep techniques for learning are used. On a final note, one should know that placing such a production to scale needs a whole set of skills that are reliable and secure. This is one of the prime reasons why data management will be tough in 2019, and data management professionals will be highly in demand.
  1. The need for proliferating continues- This will not be a very hard prediction to make in 2019. A few years ago, at the time of the Hadoop boom, there was an assumption that all data could be consolidated successfully. This was believed for both transactional and analytical workloads on a single platform. This idea, however, was not successful for a wide range of reasons. Experts in the field of data management state that there are different types of data and each of them have separate requirements for storage. For instance, graph databases, time series databases, relational databases, etc. These databases have their share of pros and cons. Developers cannot optimize the strengths if all the data is crammed into a single data lake that fits all. Again, esteemed professionals in the field of database management RemoteDBA.Com state it does not make sense amassing loads of data onto a single platform. The cloud, for instance, stores data for companies flexibly and cost-effectively. In the case of big data, Hadoop is the most budget-friendly storage for data that is unorganized and unstructured. For most companies, there are extra silos that need to be organized and managed. They are often big and important silos. Experts state that in the absence of a powerful central force, one should get used to these data silos as they will continue to proliferate.
  1. Analytics for 2019- Experts state that if you can act quickly on new data that comes into the organization, the better off you will be. This is the main driving force behind steaming analytics and real-time data. This has been very challenging and hard to pull off too. The organization has to possess data ultra- fast, and this can be done with the aid of automated decision making. The solution is to combine the SQL capabilities with open source streaming platforms to get real progress this year.
  2. Technology and evolution- The evolution of technology also plays a vital role this year in the field of data management. Companies have to take the onus of finding the right workforce with the appropriate skills for the job. Irrespective of the techniques and technologies they use, it is crucial for the company to find the right person with the right skill. Organizations also have to focus on deep learning skills and discover creative ways to manage data. For instance, if you take a look at big financial corporations, they have already started to use algorithms that are neutral and improved when it comes to spotting fraudulent transactions over traditional machines. This trend will grow and continue this year.

Experts in the field say that new technology is creating innovation to make data management for everyone better in 2019. The pace of innovation in the above field shows no signs of slowing down, and this is great news for those companies that manage huge amounts of data like big data. Last but not least, smart technology is growing, and devices are helping businesses and consumers in collecting and sharing data. This helps customers get a personalized experience wherever they go.

There is huge consumer demand today for smart devices, and they are proliferating at a huge rate. If you check ecosystems of smart devices for 2019, you will find that they are focused on two main platforms- Google Assistant and Alexa of Amazon. These platforms are helping consumers to infuse remote access and AI that starts right from lights to HVAC units. In short, you will find all the smart things around you in 2019, and the trend is expanding with speed!

Therefore, when it comes to database management trends to watch out in 2019, the above will steal the show. Progress is being made on all fronts, and there is a promise for innovation and creativity. There might be ethical, legal, and technical obstacles in 2019, but the potential benefits of innovations are huge to ignore. They will play a vital role in changing the current scenario of database management for businesses and consumers across the globe with success.

Posted by Miley

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