Cloudera,
the global provider of the fastest, easiest, and most secure data management,
analytics and machine learning platform built on the latest open source
technologies, has announced that Apache Kudu, the open source software (OSS)
storage engine for fast analytics on fast moving data, is now shipping as a
generally available component within Cloudera Enterprise 5.10. Kudu simplifies
the path to real-time analytics, allowing users to act quickly on data
as-it-happens to make better business decisions.
“Real-time
data analysis has been a challenge for enterprises because it required a
complex lambda architecture to merge together real-time stream processing and
batch analytics. Kudu dramatically eases that architecture with a single
storage engine that addresses both needs,” said Charles Zedlewski, senior vice
president of products at Cloudera. “The high-demand workloads in place today,
which include a growing number of new machine-learning models, can identify
cybersecurity threats, predict maintenance issues in the Industrial Internet of
Things (IIoT), and bring much more accuracy to all types of online reporting.”
Kudu
was designed from the ground up to take advantage of innovation in the hardware
landscape, which has seen solid state storage, memory, and RAM become more
affordable. As a standalone storage engine, Kudu has already proven itself for
mission-critical production use in clusters with hundreds of nodes handling
many millions of inserts per second. Kudu is purpose-built to enable use cases
that require fast, large-scale analytic scans while supporting rapidly updating
data - necessary for handling time series data, machine data analytics, online
reporting, or other analytic or operational workload needs.
“Apache
Kudu is a prime example of how the Apache Hadoop® platform is evolving from a
sharply defined set of Apache projects to a mixing and matching of open source
and proprietary technologies that form, in essence, a big data operating
environment,” said Tony Baer, principal analyst at Ovum. “Kudu bypasses the
hurdles associated with complex lambda architectures to address use cases
involving fast-changing data, where the ability to rapidly modify and update
the database are critical.”
Beta
programs for select Cloudera customers, directly and through partners, have
driven Kudu into critical production environments. Further adoption is
anticipated among Cloudera’s customer base to address the ever-increasing
number of use cases that require real-time analytics.
"Achieving
compliance and operational reporting alongside analytical success requires both
the ability to process large amounts of data to find trends, and to detect and
respond to anomalies quickly,” said Michael Reed, director of enterprise
information management at Meridian Health. “We're excited about the potential
of Kudu to allow us to do analytical and real-time operations in a single place
to help us to simplify the systems that we build.”
In
addition to Kudu, Cloudera 5.10 (and the release of Cloudera Director 2.3) continues
to enhance enterprise-grade capabilities for cloud deployments and improve
cost-efficiencies in these environments. New capabilities include:
In
September of 2015, Cloudera announced the public beta release of Apache Kudu,
and two months later, Cloudera donated Kudu to the Apache Software Foundation
(ASF) to open it to the broader development community - garnering contributions
from engineers at State Farm, Xiaomi, Intel, and others. Kudu is now generally
available and shipping as a standard component of Cloudera Enterprise, giving
customers a robust set of storage engines - NoSQL, HDFS, object store, and
relational - to meet the specific needs of their use case.
Cloudera
is a technical partner to Kropmann Communications
for the African market.
No comments:
Post a Comment