Datameer Unveils New Visual Paradigm for Interactive Exploration of Data at Scale

Datameer Unveils New Visual Paradigm for Interactive Exploration of Data at Scale

ID: 561341

(Thomson Reuters ONE) -


Datameer extends its big data platform to add interactive functionality that
enables self-service exploration of entire big data sets in seconds

SAN FRANCISCO and NEW YORK, Sept. 26, 2017 (GLOBE NEWSWIRE) -- Datameer today
unveiled an industry-first solution for instant, interactive visual exploration
of entire datasets of any size. Being shown publicly for the first time at
Strata Data Conference New York 2017, the new functionality will completely
change the way analysts can work with big data directly within their data lake.
Built on patent-pending dynamic indexing technology, Visual Explorer extends
Datameer's core big data platform beyond integration, preparation and governed
democratization of big data for analyses, to now add unconstrained interactive
visual exploration of extremely large datasets.

For the first time, data engineers and business analysts can use the same
familiar spreadsheet-like interface to work with their data and with the click
of a button, instantly generate a chart or graph that visually displays the
desired dimensions of the entire underlying data set. The charts and graphs are
entirely dynamic, allowing users the freedom to point-and-click drill down,
filter and aggregate on any attribute and in any direction, to get instant
visual feedback from billions of rows. This real time visual interactivity at
scale makes it easier, more accurate and faster than ever for business analysts
to prepare and refine massive analytic data sets according to their own needs.
This functionality opens up a new world of ad-hoc analytics that further speeds
time to insight and will ultimately foster greater adoption of the data lake.

A Flexible, Cube-less Architecture for Free-form Exploration

Traditionally, complex data modeling and rigid multi-dimensional schemas have
been required for responsive data analyses. Analyzing raw data, meanwhile, has




forced users into unwieldy, non-interactive data exploration environments. The
result has been unacceptable latency between the raw data's availability and its
readiness for analysis. Moreover, the modeling itself has required that business
questions be known in advance. This has resulted in models inflexible to change,
impeding interactive, ad hoc exploration and analysis. Together, these barriers
have long hindered consumption from the data lake by business analysts, making
it extremely difficult to deliver real value for the business.

Datameer with Visual Explorer was engineered to avoid these barriers and bring
an entirely new, completely unconstrained visual exploration paradigm directly
to the data lake. By leveraging dynamic, on-demand indexing, Visual Explorer
enables analysts to explore the data in their data lakes directly and
instantaneously, across any attribute and field, without data duplication or the
limitations and latency of traditional fixed multi-dimensional schemas. Analysts
can quickly see what matters in their data within a visual metaphor while
exploring extremely large datasets in an ad-hoc fashion. All this takes place at
the speed of thought, and generates analysis-ready datasets, which reduces
typical dependencies on data engineering teams. The instant interactivity with
entire data sets helps analysts to 'fail fast,' meaning they can explore paths
in the data quickly, discover if there is meaning and, if not, quickly and
easily move on to explore other paths.

"As organizations sought to gain value from their data lakes and drive adoption,
they tried a number of approaches that have largely failed, including recreating
their Enterprise Data Warehouse stack. While those approaches had familiar
paradigms such as SQL and OLAP, they required many hops between different tools,
duplicating data and creating latency, which limited data exploration and eroded
the value of their data," said Christian Rodatus, CEO of Datameer. "We're
excited to offer a solution to this common pain point with the only unified
platform for big data ingestion, preparation and now, unconstrained visual
exploration, to help organizations fuel their business with trusted data and
finally get the value they need from their data lake."

Adding More Value Across the Entire Data Lifecycle

As data engineers and analysts explore massive data sets, they need to prepare
and curate the data based on the findings of their exploration, without hopping
from one tool for preparing the data to another where they can explore it.
Historically, this lack of interactive data exploration has created a separation
between the business analyst and the data lake, introducing a complicated multi-
step process, duplicated data and numerous processing steps to obtain an
analysis-ready data set.

With the addition of Visual Explorer to the Datameer platform, data engineers
can continue to focus on ingestion, preparation, security, governance and
democratization of big data pipelines, now with even greater flexibility, speed
and scale. Business analysts can then extend the value of those data pipelines
by further preparing, refining and enriching the datasets that matter to them
within a familiar, instantly interactive visual paradigm. Once analysts are
satisfied with their customizations, Datameer will convert those explorations
into repeatable and reusable data pipelines with the click of a button.

Analysts can then further their analyses in a completely ad-hoc fashion within
the Datameer platform, as they now have the ability to ask and answer any
question as it arises. Additionally, they are able to quickly and easily feed
the output of their self-curated data pipelines into other BI and analytic
solutions like Tableau or Power BI. Datameer Visual Explorer bridges the gap
between data preparation and analysis, delivering the "last mile" functionality
of interactive visual exploration the business analyst requires in order to
explore extremely large data sets, as well as shape and tailor them to their
needs to find answers faster and deliver results to business teams.

"The objective of big data is to put more of a business' data to work," said
George Gilbert, analyst at research firm, Wikibon. "As businesses gain more
experience with big data, they must unify some activities and specialize others.
Tools that accelerate the cycle time between data exploration, prep, and
exploitation -- without breaking at scale -- are essential to the future of all
businesses with digital aspirations."

Learn More
Datameer Visual Explorer is currently available as a private beta for select
Datameer customers only. To see the first live demonstrations of Visual
Explorer, be sure to join Datameer at booth #501 at Strata New York or register
at https://info.datameer.com/Future-of-Interactive-Exploration-at-
Scale_RegPage.html to join one of two webinar demonstrations on October 4, 2017
at 2 p.m. (CEST) and 11 a.m. (PT).

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.

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




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Datum: 26.09.2017 - 15:02 Uhr
Sprache: Deutsch
News-ID 561341
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