1 times are just the usual. 2 The

1         
Introduction

IT is going through a phase of
evolution with a colossal scale that demands innovative approaches and
methodologies. A scale that is seen across platforms that are new.

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Organizations have become more
demanding than ever when talking about service SLAs, Additionally,
organizations are facing explosive data growths due to the mega proliferation
of social media and enhanced adoption of “Digital”. Organizations do
understand that this data aka Big Data can be harnessed to extract value and
drive business strategies. With tools developed and matured for ingesting and
processing of data available from social media and Internet of Things, the
value of data has exponentially risen. Nothing can be more right than to say
that data is the most critical component in any organization

GARTNER SAYS THAT 3/4TH
OF COMPANIES WILL BE ADOPTING BIG DATA BY END OF 2017.

 

BIG DATA: UNSTRUCTURED, MASSIVE
SCALE, MASSIVE SPREAD, INSIGHT DRIVING PLATFORM

 

BIG DATA: COMPLEX DATA MANAGEMENT
DUE TO SCALE, SPREAD

 

Infrastructure and processes surrounding
data protection and management should not only be efficient but also be an
enabler and facilitator of the Always-On Enterprise™. Irrespective of the type
or location of data, organizations look forward to three core expectations

Service Continuity: Disaster Recovery (DR) orchestration and RPTO’s
in minutes.

Simplified and Unified Data Management: Availability of workload
and data irrespective of type, criticality, and location to improve ROI’s and
flexibility.

 

Governance, Compliance and granular Search ability: Intuitive
proactive monitoring, reporting, and processing to ensure business and
regulatory requirements are met.

 

DATA SOURCE AND LOCATION CAN NO
LONGER BE CONSIDERED A CHALLENGE

 

ADDRESSING RISING CRITICALITY AS
AN INTEGRAL PART OF DATA MANAGEMENT STRATEGIES

 

NEW EXPECTATIONS FROM DELIVERING
PLATFORMS

Influences to business
revenues and degraded user experience are not acceptable anymore during a
downtime whether planned or unplanned. The expectation on data and
infrastructure restorations are more stringent than ever and expecting support for
granular VM, file, object-level recovery and instant file-level search to
accelerate recovery times are just the usual.

2         
The other constraints and expectations

During our numerous interactions
with industry experts, we understood that backup and data protection is yet to
stay ahead of the data growth and rather it lags. Additionally, budgets either
have leveled or have reduced. Within these constraints, meeting scale and
performance is one of the major challenges that companies face. Secondly,
organizations do understand that there are few technologies that will enable
“one size fits all” approach but they are looking for and expecting a framework
that can help them consolidate and at the same time allow them to scale and
grow.