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Stream Analytics (1)

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StreamAnalytix is a Visual Big Data Platform that enables you to build and deploy streaming analytics and batch processing use cases rapidly, with best-of-breed open-source technologies, both on-premise and in the cloud. – PowerPoint PPT presentation

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Title: Stream Analytics (1)


1
STREAM ANALYTIX
Industrys only Multi-Engine Streaming Analytics
Platform
2
One Platform for All
  • Create real-time streaming data analytics
    applications in minutes with a powerful visual
    editor
  • Get a wide variety of built-in sources and sinks
    including HDFS, Amazon S3, RDBMS and EDWs,
    Kafka, Cassandra and Elasticsearch
  • Easily connect different pipelines together with
    sub-system integration
  • Extend the built-in sources and sinks with
    reusable custom operators
  • Why StreamAnalytix?
  • ? Industry's First Multi-Engine Platform
  • ? Based on Open Source
  • ? Build Apps with Minimal Coding

3
How Can StreamAnalytix Help Your Business?
Enterprises can leverage the power of
StreamAnalytix and our world- class professional
services team to build breakthrough solutions
that deliver significant business value. Some
examples include ? Real-time VOIP and Call
Center Analytics ? Streaming ETL ? Log
Analytics ? Real-time Marketing ? Deep Social
Listening ? Predictive Maintenance
4
Best in Class, Real-time Stream Analytics
StreamAnalytix allows enterprises in any industry
to quickly and easily create applications to
implement their real-time use cases. Enterprises
can use StreamAnalytix to take full advantage of
the worldwide Open Source movement with a fully
pre-tested and supported enterprise class
platform. Some key features of StreamAnalytix
are
  • Visual Application Development Monitoring
  • Design, import and export real-time data
    pipelines
  • Drag, drop and connect operators to create
    applications
  • Monitor detailed metrics of each task and each
    instance
  • Set and get alerts based on performance thresholds

5
Developer Toolkit
  • Rich library of stream processing functions
  • Enrich the context of streaming data with static
    data lookups
  • Define variables that can be shared across
    workspaces
  • Create different versions of a pipeline and roll
    back to an older version
  • Integrate two or more entire pre-built pipelines
    which may individually use different streaming
    engines

Spark Streaming
  • Rich array of drag-and-drop Spark data
    transformations including MLlib (Machine
    Learning) operations
  • SparkSQL support to analyze data flowing in a
    pipeline using SQL queries
  • Built-in operators for predictive models
    including inline model-test feature and visual
    analysis of model data

Complex Event Processing(CEP)
  • Readymade UI driven operator for complex event
    processing
  • Multi-stream joins and analytics
  • Statistical operators and time window functions
  • High availability for CEP operator

6
Rule-based Alerts
? Web-based run-time alert configuration
? Alerts stored for queries and offline
analytics ?
Support for multiple rules
Pluggable Workflow Management
? Configurable abstraction layer
? Integration of Business Process Modeling (BPM)
tools with the system ?
Useful in integrating pre-existing logic into the
framework
Real-time Index Research
  • Indexes the data as it arrives
  • Enables blazing fast queries in real-time
  • Run-time modification of indexing parameters
  • Auto-linking between meta-data and content
  • REST and Thrift support

7
Real-time Dashboards
  • Connect a "streamer" to the data pipeline

? Stream data and analytics to a live web UI ? ?
Create and design numerous chart-widgets Arrange
widgets to form live dashboards
High Speed Data Ingestion
  • Configuration driven
  • ? Built-in support for industry standard message
    queue systems Kafka, RabbitMQ, TIBCO, and
    ActiveMQ

8
Elastic Scaling
? Scale out with commodity hardware ? ?
Million events/ second on ten nodes
Abstracted from the application
Multi-tenancy Support User Management
? Create different "workspaces" for different
tenants ? ? ? ?
Multiple tenants share the real-time streaming
cluster Support for LDAP based authentication
Control resource allocation for each tenant and/
or application
Super-admin can create workspace admins and
regular users
Comprehensive Monitoring Management
? Web-based interface to manage system settings
and configurations
9
Stream Analytics Architecture
? ? View logs on the UI to monitor debug system
and application errorsNotification alerts on
sub-system crash
Contact
Stream Analytix Impetus Technologies, Inc. 720
University Avenue, Suite 130 Los Gatos, CA
95032, USA Web www.streamanalytix.com
10
info_at_streamanalytix.com Phone 4082133310
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