Recently, Hitachi Data Systems aligned its product and solutions
portfolio around a three-tiered strategy focused on the cloud. This
consists of infrastructure cloud, content cloud and information
cloud that Hitachi says will build on existing IT investments to
provide a single virtualization platform for all data.
While the infrastructure cloud will help enterprises unify
server, storage and networking silos, the content cloud will use
intelligent tools to enable data indexing, search and discovery
across data types. The third component, called the information
cloud, has the capability to connect data sets, reveal patterns
across them and bring to surface actionable information and new
insights to business users.
The information cloud has been launched at a time, when
organizations are finding it exceedingly difficult to handle vast
amounts of data. For example, a recent survey conducted by Hitachi
Data Systems in association with market analyst firm, IDC revealed
that about 70 percent of respondents in India believed that the
demand of the business for deeper analysis outpaces the ability for
their systems to ensure the data they have is relevant, timely and
useful. In other words, their data growth is outpacing their
ability to effectively manage it.
Making sense of unstructured data
A major contributor to this heady growth of storage is related
to unstructured data, which can come in the form of e-mails, videos
or medical records. “The biggest challenge is undoubtedly
unstructured data, which is growing at 10 times the rate at which
traditional data is growing. The competitiveness of organizations
will be determined by how will they govern, manage and leverage
this data for taking decisions,” says Kevin Eggleston, Senior
Vice President and GM, Hitachi Data Systems Asia-Pacific.
Eggleston says that the biggest advantage that Hitachi has today
is that it can help customers get business insights from their
data, even if it is stored across different data systems from
different vendors. For example, using the content cloud, content
can be stored independently from the application that created it.
The lifespan of some data can be 30 years or more, while the
applications that created the data may only exist for a few years.
Hence, it is critical to free the data from the underlying
application. Once freed, the data can be further analyzed to reveal
intelligent insights.
A case in point is Klinikum Wels-Grieskirchen, one of the
largest hospitals in Austria. The hospital is using the content
cloud to consolidate patient information for its lab, radiology and
unstructured content management systems, and associated metadata,
to provide a consolidated view to its National eHealth application
and the hospital's own clinician portal.
“You cannot deliver insights from Big Data unless you look
at all the sources of information. With information cloud, we are
talking about a system that looks more like a global file system,
and customers could seek intelligent insights by combining
information from different data sources on the fly,” says
Eggleston.
By analyzing unstructured data such as CT scans or video
surveillance recordings in the cloud, we can decipher several
interesting insights.
Kevin Eggleston, Senior Vice President and GM, Hitachi Data Systems
Asia-Pacific
While Hitachi is not a traditional analytics player, it believes
that it is not far behind other traditional players, as analytics
is still not defined or mature with respect to unstructured data.
As Hitachi used object-based storage, it has the capability to not
only store unstructured data, but also the associated metadata,
that describes the object. Objects can be in the form of CT scans
or video surveillance recordings.
“By analyzing unstructured data such as CT scans or video
surveillance recordings in the cloud, we can decipher several
interesting insights. For example, by comparing and analyzing
thousands of video surveillance recordings or CT scans, we can draw
business value and find patterns, which previously could not be
identified,” explains Eggleston. Hitachi believes it has an
edge in this area, as it can leverage the domain expertise of its
parent group, which has presence across different sectors such as
energy, healthcare, urban transportation and utility.
Hitachi Data Systems is already on a fast growth track in India.
The Asia-Pacific region happens to be the fastest growing region
for Hitachi Data Systems, and India leads the growth in the region.
With the three-tier strategy, Hitachi is well positioned to reap
the benefits of a converged play, and sustain the momentum.