FEATURE: BUSINESS ANALYTICS
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huge advantage. And when streams are
integrated into a rich fabric that includes rich
historical data and the ability to understand
the context and generate an immediate
action, that advantage is translated directly
to business value.”
Benefits in MapR 6.0.1 and MEP 5.0 include:
Eric Keister, Advanced Analytics and Emerging
Technologies Manager at Anadarko
• Updates to MapR-ES API, allowing
for more accurate analytics of data
generated by IoT devices and sensors,
and more efficient application usage of
a ‘streaming system of record’ letting
applications seek to an exact point in
time when reprocessing historical data
• Spark 2.2 with Structured Streaming,
allowing for stream processing
capabilities with a simpler API and
CITRIX ANALYTICS ALSO ALLOWS
ORGANISATIONS TO MONITOR AND
MANAGE DATA MOVEMENT ACROSS
ENDPOINTS, THE DATA CENTRE,
MOBILE, HYBRID AND MULTI-CLOUDS.
INTELLIGENTCIO
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The updated MapR Converged Data
Platform and additional enhancements to
Apache Drill are now available.
Using machine learning and artificial
intelligence (AI) to detect anomalous
behaviour and potential threats, Citrix is
now able to deliver actionable intelligence
from the information gathered via its cloud
services and on-premises products to help
customers proactively identify and manage
internal and external threats.
Apache Drill 1.13 has also been integrated
(alpha) with MapR-ES for exploration of
historical message data, whether for simple
use cases like data pipelines or dashboards,
or more complex ones like anomaly
detection. Additionally, greater developer
and data scientist productivity has been
added via the MapR-DB REST gateway and
native MapR-DB exploration in the Data
Science Refinery Notebook.
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Citrix has also enhanced its analytics offering
with a new analytics service which will simplify
IT infrastructure and provide visibility into
company-wide user and entity behaviour,
system security, performance and operations.
Drill allows us to explore the same data
using SQL. This helps us make operational
decisions faster.”
“The importance of integrating streams
into a high-scale, high-performance data
fabric cannot be overstated,” said Jack
Norris, SVP Data and Applications, MapR
Technologies. “The ability to quickly analyse
and understand the significance of events
as they are collected and created is a
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advanced analytics using the event time
added in MapR-ES
MapR-DB ReST Gateway, allowing
for developers to use their preferred
language(s) to access MapR-DB JSON and
ease the integration of MapR-DB JSON
with third-party tools that support ReST
Audits to Streams, with MapR 6.0.1,
audit logs and events are forwarded to
streams, opening up a wider array of
real-time use cases such as: real-time
security analytics and anomaly detection,
data synchronisation apps and triggered
processing (e.g. classification) of new data
Native MapR-DB Exploration in Data
Science Refinery Notebook, allowing for
easier access to explore operational data
Drill 1.13, allowing for better handling of
memory intensive queries, performance
improvements when working with Parquet
files, optimisation of primary table joins
and cgroups support for YARN
Alpha Feature: Drill on MapR-ES,
letting Drill 1.13 users query MapR-ES, a
streaming system of record, directly to
get ad-hoc insights faster and without
duplicating data. Also allows for easy
experimentation of application/analytic
logic before writing real-time applications.
Citrix Analytics enables customers to adopt
a risk-based security model, allowing them
to dynamically balance the needs of users to
have rapid access to data with IT’s need to
secure and govern the environment.
Jack Norris, SVP Data and Applications,
MapR Technologies
This new service securely aggregates and
correlates user interaction with applications,
devices, networks and data across Citrix’s
www.intelligentcio.com