
Industry executives and experts share their predictions for 2019. Read them in this 11th annual VMblog.com series exclusive.
Contributed by Leah Schoeb, Master Technologist/ Technical Marketing Engineer, Rubrik
The Data Management Revolution for 2019
Data is in the center of this current digital
transformation. Like bank currency, data needs to be managed and
protected under compliance and governance laws. Companies are moving from
legacy monolithic infrastructures to modern distributed hybrid cloud
infrastructures. This means how data is protected and managed has to
transition and evolve. This transition involves moving from traditional storage
management to data management. Traditional storage management is about managing
storage hardware and the data it contains in a single system or cluster. Data
management is about managing data and is agnostic to the underlying
infrastructure. How and where Data in today's infrastructures are stored
is evolving with this digital transformation. It is stored in public/private
cloud, IOT, edge and mobile devices on new forms of media using new protocols.
There is a new broadening variety of data structures, containers, and
interfaces that support data-driven use cases, such as, analytics, self-service
multi-tenancy, artificial intelligence, and machine learning. There will be new
innovations in 2019 in data management to meet the needs of protecting and
managing data in these new hybrid cloud environments.
As of 2018, there is no one data management product that has all
of the needed major components in one product. In order to keep up with
evolving needs, data management vendors look towards the open source community to
help supply new tools and capabilities to expand their products. But due to
lack of interoperability between products, this still requires several products
to be purchased to fully manage and protect data for modern hybrid cloud and
new distributed environments. This can be a nightmare for administrators
for monitoring, reporting, managing, and protecting data.
There are several major components of the new data management for
hybrid cloud environments going into 2019. These include data protection,
business continuity, archive/preservation, compliance, data governance,
capacity optimization, and visibility. Data management companies will expand
their capabilities through alliance, acquisition, and native development to
offer these major components in one product. This will simplify data management
for administrators and provide the ability to manage, protect, and report
intelligently under one management umbrella creating a purpose-built data
management product for data and its uses.
- Data
Protection/Business Continuity
- Ransomware and other malware attacks will continue to rise and evolve to
more intelligent attacks in 2019. The number of natural disasters
and other activities that destroy entire data centers will also continue
in 2019. This means more intelligent and efficient ways to prevent
business interruptions will evolve with data protection and data management
companies. These are all reasons why the importance of a good data
protection strategy and disaster recovery plan is an essential part to
business continuity.
- Archive/preservation - Long-term cold storage will
continue to grow in 2019 with the application demand to use and produce
more data than ever before. The idea of storing long-term archival
information will need innovation from the use of cheap magnetic media to a
media that is less inclined to lose bits over time. As solid-state
technology becomes less expensive, this may be an alternative in 2019 for
storage. This can make preservation more efficient in the long run.
- Compliance/Data
Governance -
Vulnerabilities and regulations around data will continue to increase in
2019. Organizations must not only comply with the GDPR regulations set out
on May 25, 2018, but in 2019 they must be able to demonstrate their
compliance or face hefty fines. The ePrivacy Regulation will be
implemented in the second half of 2019 and will address advances in electronic
communications and its associated data, such as emails, messages, blogs,
websites, and IOT devices. There will be some overlap with the ePrivacy
Regulation and GDPR but the main difference is that the ePrivacy
Regulation is about electronic communications only and the GDPR is about
all forms of personal data. In 2019 there will be a need for data
management vendors to provide easy innovative ways to help organizations
demonstrate and maintain this new compliance and regulation.
- Capacity
Optimization -
Optimizing resources such as storage capacity is crucial to controlling
cost. The use of new applications and use cases, such as analytics,
machine learning, and artificial intelligence are on the rise. This
means the need to optimize capacity will increase to manage cost,
otherwise IT budgets will spiral out of control for businesses adopting
this digital transformation as part of their business initiatives.
- Visibility - Today there are over 320 million
workloads active in datacenters around the world at any given time as of
2018. By 2020 it is estimated there will be over 450 million
workloads globally with at least half actively running in the public
cloud. This increased use of the public cloud in hybrid cloud
infrastructure adds to the complexity of data management. Data visibility
will be the crucial key to improving and reducing cost both hybrid cloud
environments.
2019 will be the year to expand the capabilities of data
management products for data protection, preservation, optimization, and
visibility to efficiently manage data while controlling cost during this
digital transformation.
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About the Author
Leah Schoeb currently works
at Rubrik and brings expertise ranging from cloud infrastructure and data
management to system and data infrastructure performance. Her latest work with
infrastructure optimization and solid state technology. She draws over many
years of experience in the computer industry helping systems companies with
performance engineering and optimization, market positioning, benchmark
evidence creation, and guiding industry standards development for system,
virtualized, containerized, and data solutions. Leah has served in several
leadership roles for performance architecture for companies, such as,
Turbonomic, VMware, Sun Microsystems, Dell, Intel, and Amdahl.