Supercharging Analytics on Big DataAnnouncing 1000+ .ppt

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1、Supercharging Analytics on Big Data Announcing 1000+ MapReduce-ready Advanced Analytic Functions June 21st. 2010,Aster Datas Solution A Data-Analytics Server for Big Data Management,Rich, advanced analytics on large data volumes,Examples of Advanced Analytic Applications,FederalCyber defense Fraud a

2、nalysis Watch list analysis,Internet / Social MediaUser behavioral analysis Graph analysis Pattern analysis Context-based click-stream analysis,RetailPackaging optimization Consumer buying patterns Advertising and attribution analysis,TelecommunicationsService personalization Call Data Record (CDR)

3、analysis Network analysis,Financial Services and Insurance Credit and risk analysis Value at risk calculation Fraud analysis,Common Use Cases Forecasting Modeling Customer segmentation Clickstream analysis,What all these Applications have in Common,FederalCyber defense Fraud analysis Watch list anal

4、ysis,Internet / Social MediaUser behavioral analysis Graph analysis Pattern analysis Context-based click-stream analysis,RetailPackaging optimization Consumer buying patterns Advertising and attribution analysis,TelecommunicationsService personalization Call Data Record (CDR) analysis Network analys

5、is,Financial Services and Insurance Credit and risk analysis Value at risk calculation Fraud analysis,Common Use Cases Forecasting Modeling Customer segmentation Clickstream analysis,Aster Data: Big Data Analytics & Bringing MapReduce to the Enterprise,Business Analyst Ready: 30+ SQL-MapReduce funct

6、ions, fully parallelized and available as part of Aster Analytic Foundation library Example Functions include: Text processing k-Means cluster analysis Unpack data transformationsPower User Functions: 40+ MapReduce-ready, automatically parallelized packages with 1000+ functions, available in java or

7、 C All functions are available in native languages without learning curve of a separate procedural language Example Functions include: Monte Carlo simulation Histograms Linear algebra Statistics,New: Expanded Suite of MapReduce-ready Analytics Totaling 1000+ Functions,Aster Data Analytic Foundation

8、(1 of 2) Examples of Business-Ready SQL-MapReduce Functions,Aster Data Analytic Foundation (2 of 2) Examples of Business-Ready SQL-MapReduce Functions,Example: nPath Function for time-series analysis,What this gives you: - Pattern detection via single pass over dataAllows you to understand any trend

9、 that needs to be analyzed over a continuous period of timeExample use cases: - Web analytics clickstream, golden path - Telephone calling patterns - Stock market trading sequences,Uncovering patterns in sequential steps,Complete Aster Data Application: Sessionization required to prepare data for pa

10、th analysis nPath identifies marketing touches that drove revenue,nPath in Use: Marketing Attribution,Example: Basket Generator Function,What this gives you? Creates groupings of related items via single pass over dataAllows you to increase or decrease basket size with a single parameter changeExamp

11、le use cases: Retail market basket analysis People who bought x also bought y,Extensible market basket analysis,Complete Aster Data Application: Evaluate effectiveness of marketing programs Launch customer recommendations feature Evaluate and improve product placement,Basket Generator in Use,Example

12、: k-Means Function,What this gives you: Organizes data into groupings or clusters based on shared attributesAllows you to understand natural segmentsExample use cases: Marketing segmentation Fraud detection Computer vision- object recognition,One call for clustering items into natural segments,Compl

13、ete Aster Data Application: Text processing required to prepare data for customer support analysis K-Means identifies hot product issues for proactive response,K-Means in Use: Contact Center,Example: Unpack Function,What this gives you: Translates unstructured data from a single field into multiple

14、structured columnsAllows business analysts access to data with standard SQL queriesExample use cases: Sales data Stock transaction logs Gaming play logs,Transforming hidden data into analyst accessible columns,Complete Aster Data Application: Text processing required to transform/unpack third party

15、sales data Sessionization required to prepare data for path analysis Statistical analysis of pricing,Unpack in Use: Pricing Analysis,4 New analytic application development partners building on Aster Data nCluster Fuzzy Logix In-database quantitative library DB Lytix, including mathematical and stati

16、stical methods, data mining algorithms and Monte Carlo simulation techniques Cobi Systems End-to-end analytic applications across financial services and retail Impetus Big data management applications integrating Aster Data nCluster and Hadoop Ermas Consulting In-database SAS and R applications,PLUS

17、 Announcing Additional Partners,Page 14,Aster Data & Fuzzy Logix: Advancing In-Database Analytics on Big Data,Balancing between large volumes of data, throughput and accuracy has always been a challenge- typically sacrifice one or more of these for practical considerations. Fuzzy Logix is providing

18、an analytical platform on Aster Data nCluster using SQL-MR wherein one can achieve all these three objectives simultaneously. Traditional constraints of data analysis are almost non-existent in this platform.,Powered by in-database analytics on Aster Data nCluster,Page 15,Introducing DB Lytix on Aster Data nCluster Runs In-database & Uses SQL-MapReduce for high performance analytics on big data volumes,“DB Lytix is the most noteworthy in-database analytics tool” Forrester Report, Nov 2009,Analytical Functions in DB Lytix,Aster Data Big Data Management & Analytics,