[September 26, 2017] |
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Cambridge Semantics Launches Anzo Smart Data Lake® 4.0 with Semantic Layers for Data Access and Analytics On-Demand
STRATA DATA 2017 -- Cambridge
Semantics, the leading provider of big data management and analytics
solutions, today announced the release of Anzo Smart Data Lake® (ASDL)
4.0, its flagship platform product that builds a semantic layer at scale
on all enterprise data and empowers users to extract powerful insights at
record speed.
Incorporating several new technical advancements designed to deliver a
generational shift over current data lake, data management and data
analytics offerings. ASDL 4.0 offers an end-to-end, enterprise-scale
open platform that creates a single semantic layer of an organization's
structured and unstructured data. The platform is designed to break down
the IT barriers that can cost enterprises millions of dollars in lost
opportunities by slowing down or blocking data access.
"Semantic approaches are coming of age and providing the data context to
enable insight that drives business executives toward meaningful
action," said Michele Goetz, Principal Analyst for Enterprise
Architecture at Forrester (News - Alert) Research. "Executed at enterprise scale across
the best data lake and data fabric strategies is the future of the
enterprise information fabric."
ASDL 4.0 features include:
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Automated Rapid Ingestion that supports connectivity to both
internal and external sources, including cloud environments and
existing data lakes. It ingests both structured and unstructured data
through horizontally scaled, automated ETL processes. Most structured
sources may be ingested without manual mapping, while unstructured
data is processed, indexed and on-boarded through configurable text
analytics and NLP pipelines. As a result, valuable analyst or data
steward's time can be refocused on higher value tasks.
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Data Catalog leverages graph models to describe the data in
business contexts and capture all the di?erent types of data required,
spanning all enterprise data sources and all data sets stored in ASDL.
Users can easily browse and discover data sets of interest and
understand their context in a secure and governed environment. The
full data provenance and lineage of all data in the catalog is
explorable in a user-friendly visual interface.
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Graphmarts connect the power of Cambridge Semantics' Anzo Graph
Query Engine (AGQE) to data in ASDL, bringing together subsets of data
on-demand for preparation, analysis and access. Graphmarts are
collections of data sets that can be shared, discovered and enhanced
collaboratively. ASDL automatically brings Graphmarts online into
existing AGQE clusters, or can provision new clusters on-demand as
business nees peak for agile deployment and cost-e?ective cloud
resource utilization.
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Users can add Data Layers to their Graphmarts for data
cleansing, transformation, linking and access control - dynamically
enhancing the in-memory graph in an iterative manner. Graphmarts apply
Data Layers in stacked fashion for the ?exibility to easily turn
layers on or o?, and remove, copy and create layers as needed. By
storing data preparation tasks as individual layers, users enjoy
dramatic improvements in data preparation productivity similarly to
modern digital tools for editing images, video and sound.
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ASDL's Hi-Res Analytics™ provides an interactive and intuitive
exploratory experience that allows citizen data scientists, analysts
and business users to get data and answers to ad-hoc questions in real
time encompassing the full breadth and complexity of all their
information assets. With Hi-Res Analytics, users can truly have a
conversation with their data - quickly and easily pivoting to take the
analysis in new directions based on the answers to questions.
"The innovative new tools underlying Anzo Smart Data Lake 4.0 creates a
highly accessible semantic layer across all your enterprise data in the
language of your data-driven business or industry," said Alok Prasad,
president of Cambridge Semantics. "With on-demand access to data
analytics by users throughout the enterprise, users can avoid the
business inhibitors of current methods to reach insights quickly. From
our customer experiences across multiple industries, these advancements
can create a path to heightened market competitiveness and the ability
to uncover new revenue growth opportunities."
Cambridge Semantics will be demonstrating ASDL 4.0 at booth #441 at the Strata
Data Conference in New York this week in the Javits Center.
The company is also hosting two in-booth speakers to discuss the
significance of ASDL 4.0 to their businesses:
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Ali Yasin, managing director for consulting services giant PwC, will
discuss the following two topics this Wednesday, Sept. 27: "Trade
Surveillance - A Joint Solution between PwC and Cambridge Semantics"
(11 a.m. ET), and "Case Study: Batch Process Optimization Using Graph
Databases at UBS" (3:45 p.m. ET);
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Joseph Friend, senior vice president of business development for
Aitheras, a litigation support firm, will discuss "An Investigation
and Litigation Analytics Platform Powered by Cambridge Semantics," at
11 a.m. this Thursday, Sept. 28.
In addition, Ben Szekely, a member of the founding team and vice
president of solution engineering at Cambridge Semantics, will speak on Launching
a Breakthrough Data Lake Platform for the Enterprise Information
Fabric from 2:05-2:45 p.m. ET this Wednesday in location IE 17 in
the Javits.
[Suggested Tweet] .@CamSemantics launches breakthrough #bigdata
#analytics product with #semantic layers @strataconf
#stratadata
Booth 441
About Cambridge Semantics Cambridge Semantics Inc., The
Smart Data Company®, is an enterprise analytics and data management
software company. Our software, the Anzo Smart Data Lake®, allows IT
departments and their business users to semantically link, analyze and
manage diverse data whether internal or external, structured or
unstructured, with speed, at big data scale and at the fraction of the
implementation costs of using traditional approaches.
Cambridge Semantics is based in Boston, Massachusetts.
For more information visit www.cambridgesemantics.com
or follow us on Facebook,
LinkedIn
and Twitter (News - Alert): @CamSemantics.
View source version on businesswire.com: http://www.businesswire.com/news/home/20170926005859/en/
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