Newest Release of Hortonworks Data Flow Vastly Simplifies Management of Data in Motion
SANTA CLARA, Calif., Feb. 1, 2018 /PRNewswire/ -- Hortonworks, Inc.® (NASDAQ: HDP), a leading provider of global data management solutions, today announced the general availability of Hortonworks DataFlow (HDF) 3.1. The launch of HDF 3.1 enhances operations and developer productivity, and delivers stronger integration and interoperability between HDF and Hortonworks Data Platform (HDP®). This new version of HDF delivers a single open source tool set that integrates governance, security and management across the entire data lifecycle from the edge to analytics to real time decisions.
"As more and more organizations embrace the value of capturing data in motion, they are also devising more ambitious objectives and sophisticated approaches to maximizing the utility of that data and leveraging the insights provided," said Scott Gnau, chief technology officer at Hortonworks. "This newest release improves ease-of-use and time to value by enabling developer productivity while also expanding enterprise interoperability."
The new HDF 3.1 offers organizations the following enhancements:
Improved management
of data flows to
speed up
application
development and
-- operations:
Apache NiFi
Registry, a new
Apache sub-
project now
included within
HDF Enterprise
Management
Services,
facilitates the
development,
management and
portability of
data flows. Core
to its
functionality is
the ability to
abstract data flow
schemas and
programs to enable
users to track and
monitor data flow
changes at a more
granular level.
Data flow schemas
are stored in a
shared repository
that allows for
easy sharing on a
global basis as
well as versioning
of schemas.
Through this, the
export and import
of data flows
allow easy porting
and enables smooth
migration of data
flows from one
environment to
another. The
functionality
improves the
storage, control,
and management of
versioned flows,
further shortening
the software
development life
cycle and
accelerating
application
deployment to
achieve faster
time to value.
-- Increased developer
productivity:
HDF 3.1 adds new
capabilities to
improve streaming
data operations in
Hortonworks
Streaming
Analytics Manager
(SAM). In the new
SAM "Test Mode",
developers can
experiment in the
creation of SAM
apps using mock
data and create
unit tests for SAM
Apps integrated
into their
continuous
integration and
delivery
environments.
In addition, the
new SAM Operations
Module gives users
the ability to
easily test,
debug,
troubleshoot, and
monitor the
deployed
applications,
making the
operations of a
running
application as
easy as building
the application.
These efficiencies
will allow
developers to
reallocate their
time toward value-
generating
initiatives in
application
creation.
Increased
operational
efficiencies
through
-- automation:
Today's
announcement also
includes
improvements to
Apache Ambari and
Apache Ranger that
automate the
processes for
managing Apache
NiFi resources.
Users can now
easily add a new
NiFi node to an
existing cluster
without manually
updating node
information.
Improvements to
Apache Ranger
allows
administrators to
quickly define
group-based
policies for NiFi
resources. The
elimination of
repetitive manual
process
streamlines the
operations to
achieve optimal
efficiency and
utilization of
people.
-- Advanced security
and message
handling with
Apache Kafka 1.0:
With this release,
HDF now supports
Apache Kafka 1.0,
setting a
foundation for
manageability,
visualization, and
navigation around
Kafka clusters
catering to the
distinct needs of
various personas
in the subsequent
release. The
interoperability
between HDF and
Kafka also enables
advanced security
options and more
stringent message
processing
semantics
including support
for message
headers and
transactions.
Kafka 1.0 is now
fully integrated
with all HDF
services
including:
-- Apache Ambari support for Kafka 1.0 -
Users can now install, configure,
manage, upgrade, monitor, and secure
Kafka 1.0 clusters with Ambari.
-- Apache Ranger support for Kafka 1.0 -
To enhance data governance and
lineage, users can now manage access
control policies using resource or
tag-based security for Kafka 1.0
clusters.
-- New NiFi and SAM processors for Kafka
1.0 - New processors in NiFi and
Streaming Analytics Manager support
Kafka 1.0 features including message
headers and transactions.
Integrated
governance and
security for
enterprise
-- deployments:
When HDF is co-
located with
Hortonworks Data
Platform (HDP),
HDF will now be
able to integrate
with Apache Atlas
for governance,
Hortonworks
SmartSense, and
Apache Knox for
security to
provide better
manageability and
access of data as
well as toolsets
across the
platform. This
integration
creates
opportunities for:
Cross-component lineage view at
dataset level with Atlas
--
Easier data collection process with
SmartSense for proactive support and
troubleshooting
--
Convenience of single sign-on
capability with Knox as a standard
security gateway
--
The integration
also allows Atlas
to obtain meta
information of
NiFi data flows to
enable holistic
data governance
across data at-
rest and in-
motion for
compliance.
About Hortonworks
Hortonworks is a leading provider of enterprise-grade, global data management platforms, services and solutions that deliver actionable intelligence from any type of data for over half of the Fortune 100. Hortonworks is committed to driving innovation in open source communities, providing unique value to enterprise customers. Along with its partners, Hortonworks provides technology, expertise and support so that enterprise customers can adopt a modern data architecture. For more information, visit www.hortonworks.com.
Hortonworks and HDP are registered trademarks or trademarks of Hortonworks, Inc. and its subsidiaries in the United States and other jurisdictions. For more information, please visit www.hortonworks.com. All other trademarks are the property of their respective owners.
Hortonworks Contact
John Roehm
(408) 809-0773
comms@hortonworks.com
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SOURCE Hortonworks, Inc.
