unlock big data - jkool · 2014-10-22 · about jkool jkool, llc. provides a saas solution for...

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JKOOLCLOUD.COM Unlock Big Data Big Data promises a lot. Unfortunately, other than for the few its promise is often unfulfilled. It can be expensive and requires significant technological expertise that may be unavailable in your firm. jKool™ can unlock Big Data, deliver on its promise and provide instant insight. jKool streaming analytics as a cloud service solution can find actionable insights in Big Data by spotting the patterns that may have been heretofore undetectable. It does it without the need for expensive hardware, software or PhD’s. It provides a rich set of streaming operators including Bollinger Bands and Exponential Moving Averages to immediately identify outliers and anomalies. Get Insight, Instantly Its pre-built real-time analytics provide insight into time- series data. For example, match ads with the most effective placements, analyze user data per medical proce- dure, offer effective loyalty rewards or analyze risk. These are just some of the many use cases jKool can help with. With jKool you can easily identify behavior patterns in your data in order to adjust as changes occur. Respond to Trends Insight comes from JKool’s near real-time analysis of trends. This disrupts the past’s approach of batch based analysis of data in an RDBMS or DataMart. With today’s volume of data and rate of change that approach is no longer viable. Trends are perishable, have a shelf-life and rapidly expire. jKool provides the instant awareness to enable your to rapidly respond to trends and stay ahead. Big Data in Motion In today’s mobile world data is arriving from locations across the globe. Often this data has meaning specific to location. jKool captures and correlates data by location and tracks the jKool’s easy-to-use and highly configurable web dashboard makes analyzing your data easy. Queries drive each of the Viewlets which are easily entered using the dynamic Query Builder.

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Page 1: Unlock Big Data - jKool · 2014-10-22 · About jKool jKool, LLC. Provides a SaaS solution for analyzing Big Data in the cloud. Differentiating via ease-of-use, open-source and scale,

JKOOLCLOUD.COM

Unlock Big Data Big Data promises a lot. Unfortunately, other than for the few its promise is often unfulfilled. It can be expensive and requires significant technological expertise that may be unavailable in your firm.

jKool™ can unlock Big Data, deliver on its promise and provide instant insight.

jKool streaming analytics as a cloud service solution can find actionable insights in Big Data by spotting the patterns that may have been heretofore undetectable. It does it without the need for expensive hardware, software or PhD’s. It provides a rich set of streaming operators including Bollinger Bands and Exponential Moving Averages to immediately identify outliers and anomalies.

Get Insight, Instantly Its pre-built real-time analytics provide insight into time-series data. For example, match ads with the most

effective placements, analyze user data per medical proce-dure, offer effective loyalty rewards or analyze risk. These are just some of the many use cases jKool can help with. With jKool you can easily identify behavior patterns in your data in order to adjust as changes occur.

Respond to Trends Insight comes from JKool’s near real-time analysis of trends. This disrupts the past’s approach of batch based analysis of data in an RDBMS or DataMart. With today’s volume of data and rate of change that approach is no longer viable. Trends are perishable, have a shelf-life and rapidly expire. jKool provides the instant awareness to enable your to rapidly respond to trends and stay ahead.

Big Data in Motion In today’s mobile world data is arriving from locations across the globe. Often this data has meaning specific to location. jKool captures and correlates data by location and tracks the

jKool’s easy-to-use and highly configurable web dashboard makes analyzing your data easy. Queries drive each of the Viewlets which are easily entered using the dynamic Query Builder.

Page 2: Unlock Big Data - jKool · 2014-10-22 · About jKool jKool, LLC. Provides a SaaS solution for analyzing Big Data in the cloud. Differentiating via ease-of-use, open-source and scale,

About jKool jKool, LLC. Provides a SaaS solution for analyzing Big

Data in the cloud. Differentiating via ease-of-use, open-source and scale, jKool delivers a solution that help the business, data scientists and data engineers analyze, visualize and understand their data in near real-time.

Join the community at jKoolCloud.com

© 2014 jKool, LLC.

jKool

jKool’s sophisticated charting includes multi-panel stock charts as seen above. This chart shares an X axis (time) across three panels showing concurrently: elapsed time, average gains and losses and volume. The candlesticks show when the close of a period has a higher or lower value than the open. This is of great help when analyzing time-series data and detecting trends.

data as it crosses locations. Now, make decision on trends and behavior that is geolocation-specific.

Self-Service Using’ jKool’s flexible, easy-to-use dashboard and English query language the business user can create ad-hoc queries and immediately capture insights from their data.

jKool Advantages Its advantages over other analytical tools are three-fold:

° Ease-of-use ° Open-Source ° Scalability

Ease-of-use Talk to your data in English. jKool provides the business user with an English-like query language, jKQL (jKool Query

Language) to interactively explore their data. There is a web-based, mobile-ready dashboard that is query driven and provides a variety of streaming operators to make analysis deep, fast and easy. Open-Source jKool’s approach is to work with the community to drive the future of the solution. We have put the API, TNT4j in open source (at https://github.com/Nastel/TNT4J ) and plan to place the compute grid and query language in open-source, soon. We want the community to join with us and participate in the future of jKool. Scalability jKool’s Lambda Architecture can handle the largest volume of complex, concurrent data streams in near real-time. The compute grid automatically parallelizes queries for the utmost in performance and elasticity,