BUILD A HIGH-PERFORMING DATA ECOSYSTEMAccelerated and unified ETL, ML, and BI

SOLUTION BRIEF

Build big data applications

5 to 10x fasterAnalyze 1000x more data,

both on-premise and in the cloud

Have your existing teams

work at 5x200x faster insights with 99%

BI queries delivered in less than a second

Transform the decision-making capabilities of your business with accelerated insights from all your data. Our end-to-end solution helps you build a single, integrated pipeline to transform, ingest, and consume trillions of rows of data at a speed that was impossible before. It can read data from multiple sources in real-time, cleanse and enrich it quickly, and make it available for instant, multidimensional analytics across hundreds of dimensions and measures. Advanced algorithms, machine learning capabilities, and an automated workflow ensure that your data is put to work as soon as it arrives, and you can leverage every bit of it to expand your business.

STREAMANALYTIX + KYVOS: KEY FEATURES

Self-service ETL and analytics interface

High-performance BI on trillions of rows

Derive insights by joining multiple heterogenous sources

Automated workflow management

Scalable platform designed for large and complex datasets

Universal Semantic Layer

Automated incremental updates

Multi-cloud support

Connect Data from any Source

Self-Service ETL Machine Learning Capabilities

Consume and Visualize your Data Interactively

Ingest and blend data at scale

Ease of preparation with an intuitive visualinterface

Advanced data cleansing, blending,and enrichment

Run machine learningmodels on data streamsas they arrive

Full lifecycle support formachine learning andmodel management

Intelligent OLAP cubedesigns using machinelearning

Speed of thought analytics

Sub-second query responses on trillionsof rows

Live connectivity with Excel, MicroStrategy, Tableau, and other BI tools

Complex data modeling capabilities

Multiple sources Multiple formats

Support for bothbatch and streaminguse cases

INGEST PREPARE AGGREGATE VISUALIZE

Instant Accurate Bussiness Insights

Data From Multiple Sources NO LIMIT ON THE SIZE OF DATA

SINGLE, INTEGRATED PIPELINE ACCELERATES TIME TO INSIGHT

UNIFIED DATA STREAMING ANDBATCH PROCESSING

Build and operationalize Apache Spark-based applications five to ten times faster using an intuitive drag-and-drop interface with an exhaustive set of pre-built operators.

Connect with any data source or storage system for both streaming and batch use cases. You can use pre-built connectors or create your own using custom API and popular output data formats like JSON, CSV, AVRO, and Parquet or build your parsers for custom data formats. Easily configure and raise business and infrastructure alerts and action-triggers.

DATA CLEANSING, BLENDING ANDENRICHMENT AT ANY SCALE

Perform data cleansing, data blending, and data enrichment at scale – on high velocity big data as it arrives. Experience significantly faster processing with Spark-based structured streaming as the underlying technology.

Use inbuilt monitoring dashboards to display the status of metrics and key performance indicators for a pipeline. Blend real-time and historical data with o�line analytics and integrate everything you must keep track of, however disparate, onto a single screen.

SMART OLAPTM TECHNOLOGY FORINSTANT BI

Empower your users to consume, visualize, and explore enterprise data and get instant answers to their business questions. Solve complex business use cases and interact with your data to see the complete picture or drill down to the lowest level of detail instantly.

Our Smart OLAPTM technology enables multidimensional analytics on massive data, delivering the speed-of-thought analytics that is needed while dealing with streaming enterprise data. The OLAP cubes are fully pre-aggregated and materialized for speed. As all the combinations are processed in advance, they provide instant responses to queries across hundreds ofdimensions and measures.

UNIVERSAL SEMANTIC LAYER FORCONSISTENT DATA VIEW

Our full-featured, semantic layer provides a secure and consistent data view for users across the enterprise while delivering high performance. It is a layer of abstraction where all metadata is defined so that the model gets enriched and becomes simple enough for the business user to understand.

You can add calculated measures and define all kinds of hierarchies, such as multiple hierarchies, alternate hierarchy, parent-child hierarchy, di�erent ways of aggregating, custom roll-up, and more. Once the semantic model is complete, users can access it using any BI tool.

Copyright © 2020 Impetus Technologies. All rights reserved.StreamAnalytics logo is the registered trademark of Impetus Technologies, Inc.

Product names, logos, brands and other trademarks referred to within this document are the the property of their respective trademark holders.

Kyvos is the world’s fastest and most scalable BI acceleration platform that revolutionizes analytics on the cloud and on-premise platforms. Our Smart OLAPTM technology helps users query trillions of rows of data in seconds and uncover insights that were simply impossible before. By combining performance with elasticity, Kyvos helps enterprises scale out their business intelligence while saving costs, without compromising on performance.

Impetus’ StreamAnalytix is a self-service data flow, analytics and machine learning platform. StreamAnalytix lets you build and operationalize applications 10x faster, across industries, data formats, and use cases. You can easily create complex ETL and streaming data and analytics pipelines using the platform’s drag-and-drop operators on a visual IDE. StreamAnalytix data flows are interoperable across major cloud and on-prem vendors. StreamAnalytix also has a wide array of built-in operators to manage all your data processing needs on a single, unified platform – from ingest to analytics and insights.

www.streamanalytix.com

info@streamanalytix.com

@StreamAnalytix

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MACHINE LEARNING CAPABILITIES

Build production-grade continuous applications with machine learning capabilities and make it easier for your users to get maximum value from their data. Train and predict on massive-scale data in your ETL flows. Use our extensive set of libraries such as Spark ML, Python, H2O, R, and model-porting standards like PMML. Apply A/B testing and use ‘Champion Challenger, Hot Swap’ paradigms to swap the best performing model.

You can ‘bring your own models’ and use them in your ETL pipelines. Our full life cycle of model management enables you to manage your models easily. You can train, test, tune, version, and deploy your models in a few clicks.

Additionally, our ML-powered recommendation engine enables smart aggregation, helping you build optimized OLAP cubes that can deliver the desired performance on end-user queries.

Sources

Logs

Machine Data

Social Media

JDBC

Click Stream Data

Kafka

ETL Data Lake BI Acceleration BI Tools

StreamAnalytix + Kyvos Unified Solution