SAS Visual Analytics: Arkitektur, data flow og administration
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1 make connections share ideas be inspired SAS Visual Analytics: Arkitektur, data flow og administration Jens Dahl Mikkelsen, SAS Institute
2 Agenda SAS Visual Analytics-komponenter Blade server-miljø Arkitektur Proces for klargøring af data Interface Konklusion
3 SAS VISUAL ANALYTICS ENABLES MORE SIMPLE, SMARTER BUSINESS INTELLIGENCE Delivers approachable analytics across the enterprise Offers self-service capabilities to gain immediate insights Supports IT data management and control
4 SAS VISUAL ANALYTICS DELIVERS A SINGLE SOLUTION FOR FASTER, SMARTER DECISIONS Central Entry Point Integration Role-Based Views DATA PREPARATION EXPLORER DESIGNER MOBILE BI Monitor SAS LASR Analytic server Load and join data Create calculated columns Perform ad-hoc analysis and data discovery Create dashboard-style reports for web or mobile Native ios application that delivers interactive reports created in the designer SAS LASR ANALYTIC SERVER
5 SAS VISUAL ANALYTICS DELIVERS A SINGLE SOLUTION FOR FASTER, SMARTER DECISIONS Central Entry Point Integration Role-Based Views DATA PREPARATION EXPLORER DESIGNER MOBILE BI Monitor SAS LASR Analytic server Load and join data Create calculated columns Perform ad-hoc analysis and data discovery Create dashboard-style reports for web or mobile Native ios application that delivers interactive reports created in the designer SAS LASR ANALYTIC SERVER
6 SAS VISUAL ANALYTICS DELIVERS A SINGLE SOLUTION FOR FASTER, SMARTER DECISIONS Central Entry Point Integration Role-Based Views DATA PREPARATION EXPLORER DESIGNER MOBILE BI Monitor SAS LASR Analytic server Load and join data Create calculated columns Perform ad-hoc analysis and data discovery Create dashboard-style reports for web or mobile Native ios application that delivers interactive reports created in the designer SAS LASR ANALYTIC SERVER
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8 MPP MASSIVELY PARALLEL PROCESSING MPP-hardware anvender databasesoftware En enkelt logisk tabel lagres i bidder på tværs af worker nodes Arbejde udføres parallelt på de forskellige bidder af tabellen
9 HDFS HADOOP DISTRIBUTED FILE SYSTEM Head Node Data 1 Data 2 Data 3 Data MYFILE.TXT..block1 primary secondary..block2 primary secondary..block3 secondary primary Hvert dataelement lagres på >1 worker node Høj tilgængelighed trods evt. drop-outs
10 SAS VISUAL ANALYTICS ARCHITECTURE
11 TERADATA SUPPORT SAS VISUAL ANALYTICS DESKTOP CLIENTS SAS Management Console SAS SERVER SAS VISUAL ANALYTICS TERADATA APPLIANCE TERADATA DATABASE APPLIANCE WEB-BASED CLIENTS Hub Explorer METADATA SERVER MID-TIER IN-MEMORY STORE SAS LASR TM ANALYTIC SERVER EDW Designer WORKSPACE SERVER TERADATA Viewer Data Preparation MOBILE CLIENTS ipad Hadoop RDBMS Non- Relational Click Stream PC Files
12 EMC / GREENPLUM SUPPORT SAS VISUAL ANALYTICS DESKTOP CLIENTS SAS Management Console SAS SERVER SAS VISUAL ANALYTICS GREENPLUM APPLIANCE GREENPLUM DATABASE APPLIANCE WEB-BASED CLIENTS Hub Explorer METADATA SERVER MID-TIER IN-MEMORY STORE SAS LASR TM ANALYTIC SERVER EDW Designer WORKSPACE SERVER TERADATA Viewer Data Preparation MOBILE CLIENTS ipad Hadoop RDBMS Non- Relational Click Stream PC Files
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14 SAS VISUAL ANALYTICS SAS HUB Rollebaseret startpunkt Navigation til Data exploration Report creation Report viewing Administration Data preparation & monitoring Favoritter & søgning Rapportkommentarer
15 SAS VISUAL ANALYTICS Prepare data Join tabeller Beregn kolonner DATA PREPARATION Filtrér kolonner/rækker Load tabeller i memory Sikkerhed Exportér SAS kode SAS LASR server monitor Ressourcer (CPU, I/O, memory) Processer (brugere) Logning og historie mobile enheder
16 Konklusion Billig, hurtig og skalérbar hardware + SAS Visual Analytics In-Memory-arkitektur, brugervenlige interfaces, intelligente grafiske egenskaber og nem proces = Kreativitet, ny viden og nye forretningsmuligheder
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