[January 14, 2015] |
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MapR CEO Offers His Predictions for Big Data Drivers in 2015
Hadoop continues to show significant evidence of how companies are
achieving measurable ROI from storing, processing, analyzing and sharing
Big Data. MapR
Technologies' CEO and Cofounder, John Schroeder, forecasts several
major developments he believes will drive Big Data in 2015 to become a
must-have infrastructure for enterprises. These include:
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Data Agility Emerges as a Top Focus - Legacy databases and data
warehouses are so expensive that database administrator (DBA)
resources are required to flatten, summarize and fully structure the
data. Upfront DBA costs delay access to new data sources and the rigid
structure is very difficult to alter over time. The net result is that
legacy databases are not agile enough to meet the needs of most
organizations today. Initial Big Data projects focused on the storage
of target data sources. Rather than focus on how much data is being
managed, organizations will move their attention to measuring data
agility. How does the ability to process and analyze data impact
operations? How quickly can they adjust and respond to changes in
customer preferences, market conditions, competitive actions, and the
status of operations? These questions will direct the investment and
scope of Big Data projects in 2015.
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Organizations Move from Data Lakes to Processing Data Platforms - During
the past year, data lakes and data hubs have represented a popular
first deployment for Hadoop. A data lake or data hub is a scalable
infrastructure that's both economically attractive (reduced
per-terabyte cost) and designed for flexibility - it has the ability
to store various forms of both structured and unstructured data. The
ability to use thousands of commodity servers and store petabytes of
data at less than $1,000 per terabyte per year has been a core benefit
of Hadoop. In 2015, data lakes will evolve as organizations move from
batch to real-time processing and integrate file-based Hadoop and
database engines into their large-scale processing platforms. In other
words, it's not about large-scale storage in a data lake to support
bigger queries and reports; the big trend in 2015 will be around the
continuous access and processing of events and data in real time to
gain constant awareness and take immediate action.
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Self-Srvice Big Data Goes Mainstream - In 2015, IT will
embrace self-service Big Data to allow developers, data scientists and
data analysts to directly conduct data exploration. Previously, IT
would be required to establish centralized data structures. This is a
time consuming and expensive step. Hadoop has made the enterprise
comfortable with structure-on-read for some use cases. Advanced
organizations will move to data bindings on execution and away from a
central structure to fulfill ongoing requirements. This self service
speeds organizations in their ability to leverage new data sources and
respond to opportunities and threats.
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Hadoop Vendor Consolidation: New Business Models Evolve, While
Others Exit the Market -Technologies mature in phases: the
technology lifecycle begins with innovation and the creation of highly
differentiated products, and ends when products are eventually
commoditized. Edgar F. Codd created the relational database concept in
1969 with innovation leading to the Oracle (News - Alert) IPO in 1986 and
commoditization beginning with the first MySQL release in 1995. So
database platform technology took over 25 years of innovation prior to
any commoditization. Despite impressive global adoption at scale,
Hadoop is still early in the technology maturity lifecycle with only
10 years passing since Google published the seminal MapReduce white
paper. Hadoop is in the innovation phase, so vendors who mistakenly
adopted "Red Hat (News - Alert) for Hadoop" strategies are already exiting the
market. The market is now 20 years into open source software (OSS)
adoption that has provided tremendous value. In 2015, we'll see the
continued evolution of a new, more nuanced model of OSS to combine
deep innovation with community development. The open source community
is paramount for establishing standards and consensus. Competition is
the accelerant transforming Hadoop from what started as a batch
analytics processor to a full-featured data platform.
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Enterprise Architects Separate the Big Hype from Big Data - As
organizations move quickly beyond experimentation to serious adoption
in the data center, enterprise architects move front and center into
the Big Data adoption path. IT leaders will be vital in determining
the underlying architectures required to meet SLAs, deliver high
availability, business continuity and meet mission-critical needs. In
2014 the booming ecosystem around Hadoop was celebrated with a
proliferation of applications, tools and components. In 2015 the
market will concentrate on the differences across platforms and the
architecture required to integrate Hadoop into the data center and
deliver business results.
"This is the year that organizations move Big Data deployments beyond
initial batch implementations and into real time," said Schroeder. "This
will be driven by the huge strides that existing industry leaders and
soon-to-be new leaders have already made by incorporating new Big Data
platforms into their operations and integrating analytics with
"in-flight" data to impact business as it happens."
About MapR Technologies
MapR
delivers on the promise of Hadoop with a proven, enterprise-grade
platform that supports a broad set of mission-critical and real-time
production uses. MapR brings unprecedented dependability, ease-of-use
and world-record speed to Hadoop, NoSQL, database and streaming
applications in one unified distribution for Hadoop. MapR is used by
more than 700 customers across financial services, government,
healthcare, internet, manufacturing, media, retail and
telecommunications as well as by leading Global 2000 and Web 2.0
companies. Amazon, Cisco (News - Alert), Google, Teradata and HP are part of the broad
MapR partner ecosystem. Investors include Google Capital, Lightspeed
Venture Partners, Mayfield Fund, NEA, Qualcomm (News - Alert) Ventures and Redpoint
Ventures. MapR is based in San Jose, CA. Connect with MapR on Twitter,
LinkedIn,
and Facebook.
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