Database Reference
In-Depth Information
cluster installation, upgrades, and expansion using a comprehensive
dashboard with instant views of the health of the cluster and key
performance metrics. Users can view live and historical information
about the host, application, and job-level metrics across the entire
Pivotal HD cluster. Command Center also provides CLI and web
services APIs for integration into enterprise monitoring services.
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Graphlab on Open MPI (Message Passing Interface)
is a
highly used and mature graph-based, high-performing, distributed
computation framework that easily scales to graphs with billions of
vertices and edges. It is now able to run natively within an existing
Hadoop cluster, eliminating costly data movement. This allows data
scientists and analysts to leverage popular algorithms such as page
rank, collaborative filtering, and computer vision natively in Hadoop
rather than copying the data somewhere else to run the analytics,
which would lengthen data science cycles. Combined with MADlib's
machine learning algorithms for relational data, Pivotal HD becomes
the leading advanced analytical platform for machine learning in the
world.
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Hadoop Virtualization Extensions (HVE)
plug-ins make
Hadoop aware of the virtual topology and scale Hadoop nodes
dynamically in a virtual environment. Pivotal HD is the first Hadoop
distribution to include HVE plug-ins, enabling easy deployment of
Hadoop in an enterprise environment. With HVE, Pivotal HD can
deliver truly elastic scalability in the cloud, augmenting on-premises
deployment options.
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HAWQ (HAdoop With Query)
adds SQL's expressive power to
Hadoop to accelerate data analytics projects, simplify development
while increasing productivity, expand Hadoop's capabilities, and cut
costs. HAWQ can help render Hadoop queries faster than any
Hadoop-based query interface on the market by adding rich, proven,
parallel SQL processing facilities. HAWQ leverages existing business
intelligence and analytics products and a workforce's existing SQL
skills to bring more than 100 times performance improvement to a
wide range of query types and workloads.
