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Discover the Latest Database Management Trends in 2019

We know that in every walk of life trends come and go. It is the same in database management landscape but lately, we have witnessed that several new database management concepts are in fact, here to stay. They are not just a passing fad, rather they demonstrate staying power and they have the capacity to transform businesses and organizations.

As per http://www.dbta.com, we have witnessed the fact that there is a rising appreciation for the value of data; hence, there has been a significant increase in the amount spent and invested on data management, as well as, analytics services and products. As per IDC predictions, revenues for business analytics and big data solutions would be reaching $189.1 billion this year itself with an impressive double-digit annual growth through 2022. Let us explore the existing and the latest database management trends and ways to take the maximum advantage of them for benefitting your business or organization. Here are some of the latest trends.

Focus on Both SQL Databases & NoSQL Databases

SQL databases are also referred to as relational databases and they are known for defining and manipulating data based primarily on SQL or the Structured Query Language. SQL databases are immensely popular and are utilized for effectively handling structured data which would organize data elements and go on standardizing the way precisely they would be relating to each other and to diverse properties. Database admins managing an SQL server will often use utilize server monitoring in order to optimize the performance of their database.

NoSQL Databases are referred to as non-relational databases that would be allowing you to accurately store and retrieve all important unstructured data implementing a dynamic schema. We know that NoSQL is gaining a lot of traction because of its flexible capacity to come up with a unique and innovative structure which could be a graph, document, column or Key Value that is organized basically as a data structure. Even though SQL has been maintaining a huge lead over the NoSQL database for several decades now, however, things are changing now and there is the growing popularity of non-relational alternatives. NoSQL is catching up at a phenomenal speed with the introduction of popular databases like MongoDB, Cassandra, and Redis.

Use of Multi-Database Preferred over Single Database

There has been a growing trend towards the effective use of multi-database during the last decade as opposed to the conventional theory of keeping all your eggs very much in just a single basket. More than 50 percent of the businesses admit that they are using multiple databases to efficiently fuel their applications as compared to just a single database. As per the latest market survey, around 44.3 percent admitted to utilizing multiple databases and 55.7 percent are still operating one single database.

NoSQL & SQL Multiple Database Combinations

We understand that 75.6 percent of multiple database kind usage comprises of a mix of both NoSQL and SQL databases. This implies that for many companies you cannot adopt a cookie-cutter approach. Even though you may be having a preference for one of them, there is absolutely no dispute regarding the fact that each one of them has clear benefits over the other. Rather than restricting your company to just a single database type,  there is a necessity in 2019 to effectively evolve your database stratagem for compatibility in order to ensure that these two robust database management systems are able to be compatible with each other and help in effectively filling the gaps in all your data requirements.

The Pivotal Role & Importance of Data Engineer 

The data engineer would be playing a pivotal role in 2019 as the architect of an organization’s data planning. No data teams would be able to efficiently perform without technical assistance and expertise of a qualified data engineer. These super-techies are indispensable as they boast of having advanced tech knowledge and multiple programming skills for preparing the groundwork proficiently for effective enterprise Data Management that could be utilized by some other staff such as the Data Scientist or the Data Analyst for precise data-oriented functions.

Implementation of Single-Point Data Management Channels

In 2019 there is an emerging trend of the effective implementation of Single-Point Data Management Channels. There is a rise in the use of enterprise-grade, single point data management channels rather than multiple disintegrated data management solutions within an enterprise. This trend has been gaining traction at a slow pace over the last few years but in recent times, it is impossible for businesses to survive or sustain without scalable, fully-integrated, single-point data management solutions for ensuring optimized distribution and data collection across numerous data channels.

IT Is Becoming Cloudier

We find that there has been a significant rise in the actual acquisition of effective SaaS apps that are known to displace on a regular basis, an on-premises application, thus, successfully migrating numerous users including their data to the cloud. Moreover, several organizations today have basically a cloud-first mandate that leads to certainly more SaaS applications. Today, data management has become intrinsically a hybrid affair which is supposed to reach across a host of on-premise systems and multiple clouds. You may seek professional assistance from reputed websites such as RemoteDBA.com.

Hadoop’s Actual Fall from Grace

Among the biggest surprises in recent years in the tech world is the rapid ascent and then equally rapid descent of Hadoop adoption. When Hadoop entered the industry in 2013, it took the entire community by storm and was deployed in as many as 20% data warehouse environments within 3 years of release. The growth curve seemed to plateau over 2017 and 2018, indicating that it had pretty much been deployed by any warehousing program that would require it. 

There has also been talking of user dissatisfaction with Hadoop’s immaturity as a platform, especially when dealing with maintenance, relational functions, and managing metadata. The cost of deploying and maintaining large clusters on a company’s own premises is also a considerable push back against the growth of Hadoop. As a technology, it is certainly here to stay, offering a ton of functionality to anyone who needs it, but the industry has demanded extensive restructuring to address the present problems with the platform.

Conclusion: The Amazing Data Lake Remix

Giving data a great home, the data lakes trend is very much toward an effective multiplatform architecture. The lake is supposed to be distributed physically across relational databases and Hadoop clusters. These could be deployed efficiently on the cloud, on premises, or an effective hybrid combination comprising both.  To make truly diverse and disparate data appear simpler and less complicated, you could find virtualization techniques quite handy, that is the reason why any hybrid data lake seems to be in reality a virtual data lake quite similar to the virtual data warehouse. 

Author bio

Patrick Hansen is a database developer with more than 15 years of experience in this field. He suggests his clients visit RemoteDBA.com when they need database support or any other technical help with database management.

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Top Database Management Trends You Can’t Ignore In 2019

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.

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