Datameer Announces Elastic Big Data Preparation and Exploration Platform for the Cloud
(Thomson Reuters ONE) -
New Datameer release, available on Amazon Web Services, separates compute and
storage resources for agility, flexibility and independent elasticity
SAN FRANCISCO, Calif., Nov. 14, 2017 (GLOBE NEWSWIRE) -- Datameer, the leading
big data preparation and exploration platform, today announced a new product
offering architected specifically for the cloud that is integrated with, and
delivered on, Amazon Web Services (AWS). With this new offering, Datameer on AWS
will empower users with the agility, flexibility and elasticity they need to
process their big data in the cloud. This move to the cloud continues to evolve
Datameer's Hybrid Data Architecture, providing users with big data processing
closest to the location of their data, whether in the cloud, on-premises or a
hybrid approach.
A pioneer in the big data space, Datameer helps fuel businesses with trusted
data, allowing analysts to create, curate and interactively explore their
enterprise-scale data lakes in a single, agile platform. Now, leading
enterprises utilizing Datameer such as Aetna, Comcast, Citibank, Vodafone, and
others, can extend their big data architectures to the cloud with complete
flexibility and confidence utilizing Datameer's superior security, governance
and operationalization features.
Solving the Problem of Shadow Data Lakes in the Cloud
According to the Market Overview in Gartner's 2017 Magic Quadrant for Business
Intelligence and Analytics Platforms, "Interest in cloud deployments will
continue to grow.we expect this trend to continue, with the majority of new
license buying (more than half) likely to be for cloud deployments by 2020."(1)
In another report, Gartner recommends that data and analytics leaders should
"design [their] information architecture for the separation of storage and
compute to take advantage of rich compute options for processing the data in
object storage."(2) With market shift in mind, enterprises have begun to turn to
the cloud, first to manage their data, and now to address their analytics needs.
Through various initiatives, many organizations have unwittingly created
"shadow" data lakes - massive reservoirs of stored data on the cloud - in places
such as Amazon Simple Storage Service (Amazon S3) - because of the availability
of inexpensive storage and compute resources to be found there. This leaves
these organizations with the dilemma of either moving data on-premises for
processing and analysis or using more bare-bones Hadoop command line and
scripting tools available from cloud providers - which can be daunting,
expensive or both.
Datameer solves this issue by providing a newly architected big data preparation
and exploration platform that incorporates a cloud-centric architecture and
separates compute from storage, enabling on-demand use of services with full
elasticity of each, fulfilling the promise of a hybrid architecture than can
span cloud and on-premises resources.
"We've seen accelerated interest from customers in the last 18 months in moving
their big data platforms to the cloud," said Christian Rodatus, CEO of Datameer.
"Separating compute from storage is a leap forward for our hybrid data
architecture and will provide tremendous flexibility for customers both in the
cloud and on-premises."
A Hybrid Approach to Enterprise Data Strategy
With the introduction of its new solution on AWS, Datameer offers enterprises
the ability to have a cloud-first strategy for data and analytics, and blend
cloud and on-premises elements in a hybrid approach that lets organizations
follow data gravity and deliver big data processing resources where it best
makes sense. This enables organizations to intelligently deploy processing
services close to where their data resides while eliminating excess movement of
data, all in a single architecture that provides a seamless view of curated data
and jobs.
Datameer for AWS is integrated with the following AWS services:
·Rapid deployment on Amazon Elastic Compute Cloud (Amazon EC2) instances
·Integration with Amazon Elastic Map Reduce (Amazon EMR) Hadoop
·Use of Amazon S3 for persistent storage and can import/export data with Amazon
S3
·A connector to Amazon Redshift for import/export of data
·Integration with Amazon Authentication and Access Control
·Control and billing integration with the AWS Management Console(3)
·Available on AWS Marketplace for easy, single-click deployment(4)
Datameer's comprehensive suite of AWS-integrated features provides organizations
with complete capabilities to prepare, explore and process big data from a
variety of sources on an agile data architecture that delivers the flexibility
and economies of scale from the cloud.
Industry-leading Datameer Capabilities with Complete Elasticity
A major advantage of cloud computing is elasticity - the ability to scale
resources as needed and pay only for what is used. This provides the utmost
flexibility for any big data processing needs.
Datameer for AWS separates compute and storage, using persistent Amazon S3
services to manage the data being processed. This enables Datameer on AWS to
provide complete elasticity, letting users scale resources on-demand, based on
the processing power and scale needed. For organizations with needs for big data
burst processing or in industries where one needs to scale and contract
resources due to seasonality (e.g. retail) or other spikes in demand, this
provides the utmost flexibility and a cost model that works with those
processing needs.
Learn More
To learn more about Datameer's move to the cloud, register now for the upcoming
November 29(th) webinar: Tap the Power of the Cloud for Big Data and read more
here. Datameer is also providing demonstrations of the Datameer platform at the
upcoming AWS re:Invent conference in Las Vegas, NV, November 28(th) - 30(th) at
Booth #K23.
About Datameer
Datameer is the agile enterprise big data platform that fuels faster, trusted
data-driven insights anywhere. Datameer's advanced data preparation, exploration
and governance functionality makes it easy to transform big data into curated
data sets to feed any analytics initiative. Using a hybrid architecture that
spans on-premises and the cloud, Datameer helps organizations deliver new
insights in days and operationalize them immediately, increasing the agility and
responsiveness of the analytics that drive the business. To learn more, visit:
www.datameer.com.
(1) Gartner Magic Quadrant for Business Intelligence and Analytics Platforms,
Rita L. Sallam et al, 16 February 2017, https://www.gartner.com/document/3611117
(2) Gartner Predicts 2017: Data Distribution and Complexity Drive Information
Infrastructure Modernization, Ted Friedman et al, 29 November 2016,
https://www.gartner.com/document/3529121
(3) Available in early 2018
(4) Available by the end of 2017
Contact
Erin Hitchcock
Datameer, Inc.
PR Manager
erin.hitchcock(at)datameer.com
This announcement is distributed by Nasdaq Corporate Solutions on behalf of Nasdaq Corporate Solutions clients.
The issuer of this announcement warrants that they are solely responsible for the content, accuracy and originality of the information contained therein.
Source: Datameer via GlobeNewswire
Unternehmensinformation / Kurzprofil:
Datum: 14.11.2017 - 15:00 Uhr
Sprache: Deutsch
News-ID 568092
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