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Data management and storage had a great year in 2018 but it is now time
to look further and see what big data technology trends and big
data analytics are on the horizon for this year—particularly as it
relates to management and the storage of data.
Technology continues to transform at a rapid rate. And, in 2019, the
trends for data technology and predictive
analytics seek to combine people, businesses, and processes. In fact, there
seems no limit to the advances being made in data management and storage.
This year’s data trends focus on protecting and managing data as well as
maximizing its value. Data backup and storage of data quality, including real-time data, can function
as the successful foundation of any IT strategy, though a concept in the decision-making process isn’t
always the first thing that comes to mind. You need a solid foundation on which
to build your data sources and
data storage can provide foundation. Storage is essentially the base for your
data center and cloud, essentially making it the foundation of your
organization or business.
Below, are the top data management and storage trends of 2019. Many are
extensions of progress made in 2018 while others are brand new concepts will
likely continue to grow and expand in the years to come.
The power of analytics is profound. The world’s most successful
companies do everything within their power to deliver personalized experiences
to their customer base every chance they can. This is due, in part, to the fact
doing so has shown to increase sales and reinforce customer loyalty; two
concepts incredibly important to a business’s success.
The faster an organization or business can react to a new piece of data
through high-performance computing,
the better. It is that function that helps drive real-time analytics and data integration. As analytic
teams mature and improve, the ability to react quickly becomes both easier and
cheaper to pull off.
It is only possible to deliver a personalized experience to customers
with a data management layer that has strong capabilities when it comes to
analytics. This trend is likely to continue well beyond 2019.
Governing data processing effectively and efficiently has become a
mainstream issue. It seems that data breaches have become part of everyday
life, as shown by the sheer number that is documented each year. It seems as
though a number of companies have had their networks breached, leaving the data
of customers vulnerable and, in many instances, the data was stolen outright.
Maintaining the integrity and security of data has never been more
important, given this trend in data breaches. New regulations have now come
into action, namely GDPR and PSDW, which only serve to reinforce the issue
further. And, of course, data security and safety remain a top priority of
consumers. Given how important the issue is to consumers, it must also maintain
that same level of importance with businesses and organizations.
According to The Harris Poll, close to 60 million Americans were
impacted by some type of identity theft in 2018 alone. An amount is equal to a
300% increase from the previous year. In 2017, 15 million companies claimed to
have been affected by identity theft. While that number is still daunting, it
seems data security has become even less powerful in just the last year, as the
number has grown exponentially.
It’s expected data governance will continue to grow in importance
throughout 2019 and in future years as well. Consumers want to know their
personal data is secure. And those businesses and companies can provide that
feeling of security and stability are likely to reap the reward in the way of
revenue and customer loyalty. Look for data security and governance to remain
on the list of big data trends for the next several years.
There are clearly a number of data platforms available for storage, as
well as big data and analytics,
with some more secure than others. You can store data internally or you
can use infrastructure that is managed by someone else. You could choose to
store data that was of a less sensitive nature on a public cloud or you could
pay to make use of private cloud infrastructure.
The cloud changed virtually everything when it was initially introduced.
It is big, as in really big, and there seems to be no end to its growth in
sight. Given its popularity, as well as what it provides, it is becoming harder
for businesses to resist the cloud. It is cheap to store data and it provides
technology and big data tools that are really hard to pass up.
Small businesses, as well as startups, are consistently finding the
cloud to be increasingly attractive as part of their business analytics. While that has been a seemingly
constant trend, larger companies are also now finding it hard to resist what
the cloud has to offer.
That said, the threat of a lock-in may keep larger companies from
putting everything into a single cloud. This makes sense from a practical and
economic standpoint. When you put everything into one place, you stand
vulnerable. One of the big data trends of 2019 helps to resolve that issue for
larger businesses. And that trend also relates back to protecting data.
The introduction of a new concept, the hybrid cloud, is bringing an
increased number of advantages to companies who do not want to use just a
single cloud. The use of multi-cloud environments proves to be a big data trend
Hybrid clouds allow organizations to address the security and privacy
concerns that managing data creates. Hybrid clouds allow for operations to be
streamlined more efficiently and they lower overall costs.
In 2019, many companies are looking to these hybrid clouds for their
data storage needs. A hybrid cloud allows businesses to save very sensitive
data on-site in private cloud infrastructure while saving less sensitive data
in the public cloud. Many organizations use a multi-cloud storage system and
mechanism to both save money and simultaneously protect the most sensitive and
While multi-cloud environments are increasing, on-premises data and
applications are not set to fall completely by the wayside just yet. We will
have to see what future years have in store for the cloud and hybrid models.
Data centers have changed significantly in the last couple of years and
continue to do so in 2019. They will likely continue that trend in future
years. Artificial intelligence (AI) seems to be playing a strong role in the
development and design of the new data center.
AI creates several benefits to the end user. As it is developed and put
into motion, data centers will inevitably become more efficient. That isn’t the
only benefit, however. In addition, the end user likely reaps the following
While it remains true 4G speed is likely still fast enough to maintain
the needs of most individual consumers, a commonly used 5G network may be on
The upgrade to a 5G network may be adopted for machine-to-machine communication
as well as the Internet of Things (IoT) technology. This is a trend that may
prove particularly strong in 2019. What’s more, it will likely continue to grow
over the next couple of years as speed has always been a primary technological
These new 5G networks offer several new opportunities for cloud service
providers and distributors alike. They allow for the collection, storage,
management and processing of the largest volume of data possible, larger than
anything we’ve seen before. This simply provides increased efficiency and it
separates a 5G business from its competitors.
Technology continues to transform as rapidly as ever and while 2018 had
its own set of new concepts and trends, the data management and storage trends promised
by 2019 have their own set of unique promises.
From the hybrid cloud to data governance, there is clearly an emphasis
on the integrity and safety of data. This is a continuation of concerns from
years past. What’s more, it isn’t likely going to fade any time soon. It is a
matter of importance to consumers which ultimately means businesses and
organizations must also find data integrity important. It could (and should) be
a great concern for the overall integrity of any business.
And from analytics to geospatial search and artificial intelligence, the
end user’s experience is enhanced while building data management solutions are
easier to manage and build at the developer’s end. These issues are of importance
to businesses as they enhance the experience of the consumer while also making
back-end processes more efficient and easier to manage.
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