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SAP Sybase IQ Sunumu-Sybase Türkiye
 

SAP Sybase IQ Sunumu-Sybase Türkiye

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16 Mart 201

16 Mart 201

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    SAP Sybase IQ Sunumu-Sybase Türkiye SAP Sybase IQ Sunumu-Sybase Türkiye Presentation Transcript

    • Big Data Analytics with Sybase IQSAP ANALYTICS & INNOVATION FORUM 12Mustafa KUTLUSybase Türkiye
    • AGENDABig Data Analytics Market DriversSybase IQ Proven for Big DataSybase IQ 15.4 Revolutionizing Big Data AnalyticsSummary© 2012 SAP AG. All rights reserved. 2
    • BIG DATA ANALYTICSMARKET DRIVERS
    • BIG DATA ANALYTICS ISSUESDealing with volume, variety, velocity, costs, skills © 2012 SAP AG. All rights reserved. 4
    • BIG DATA ANALYTICS MATURITYFrom jargon to transformational business value* *A McKinsey study titled “Big Data: Next frontier for innovation, competition, and productivity”, May 2011, has found huge potential for Big Data Analytics with metrics as impressive as 60% improvements in Retail operating margins, 8% reduction in (US) national healthcare expenditures, and $150M savings in operational efficiencies in European economies © 2012 SAP AG. All rights reserved. 5
    • BIG DATA ANALYTICS IN THE REAL WORLDPrevalent in data intensive verticals and functional areas © 2012 SAP AG. All rights reserved. 6
    • Sybase IQPROVEN FOR BIG DATA
    • SYBASE IQMature, industrial strength analytic DBMS © 2012 SAP AG. All rights reserved. 8
    • SYBASE IQReferences Maliye Bakanlığı – Gelir İdaresi Başkanlığı – Tax compliance data warehouse – 4 TB compressed data in IQ Yapı Kredi Bankası – 50 TB compressed data in IQ – 3000 + users – 2000 ad-hoc queries per day Türk Telekom – IQ as an enterprise reporting database – 80% data compression © 2012 SAP AG. All rights reserved. 9
    • SYBASE IQReferences Turkcell Bank Asya İETT Anadolu Sigorta Digiturk Meteoroloji Genel Müdürlüğü Toprak Mahsulleri Ofisi PTT Mali Suçları Araştırma Kurulu Milli Emlak Genel Müdürlüğü© 2012 SAP AG. All rights reserved. 10
    • SYBASE IQArchitecture Diagram© 2012 SAP AG. All rights reserved. 11
    • SYBASE IQFirst Columnar Database - Sybase IQ’s “only-needed-colums” scan and disk I/O - Select avg(salary) from employees group by department Sybase IQ Title Department Location Salary© 2012 SAP AG. All rights reserved. 12
    • SYBASE IQPatented Indexes Fast Project Compressed raw data for result sets (Default Index) Using IQ UNIQUE (cardinality) 1 byte FP - 0 < cardinality > 255 2 byte FP - 256 < cardinality > 65,536 3 byte FP – 65K < cardinality > 16 Million Low Fast Low cardinality data (< 1500) High Non Group Aggregation and range searches High Group Key fields, High cardinality equality and groupings Multi-column indexes allowed Date Date searches and date functions Word, Text Keyword or phrase searches Compare Data column comparisons ( >, <, !=, = )© 2012 SAP AG. All rights reserved. 13
    • SYBASE IQData Compression Up to 90% decrease in data storage costs Efficient use of data cache Ease of backup and restore 10TB ~3TB ~1TB OLTP Raw Data Database Sybase IQ DatabaseData + Indexes + Exported Raw Data Data + IndexesSummary & Aggregate Ready for Reporting !Tables© 2012 SAP AG. All rights reserved. 14
    • SYBASE IQ 15A powerful Big Data Analytics platform in making decisions © 2012 SAP AG. All rights reserved. 15
    • SYBASE IQ 15.4REVOLUTIONIZING BIG DATA ANALYTICS
    • INTRODUCING SYBASE IQ 15.4A comprehensive Big Data Analytics platform © 2012 SAP AG. All rights reserved. 17
    • INTRODUCING SYBASE IQ 15.4Focus areas overview © 2012 SAP AG. All rights reserved. 18
    • INTRODUCING SYBASE IQ 15.4Data management — compression and loading © 2012 SAP AG. All rights reserved. 19
    • INTRODUCING SYBASE IQ 15.4App services — native MapReduce using TPF API © 2012 SAP AG. All rights reserved. 20
    • INTRODUCING SYBASE IQ 15.4App services — integrating Sybase IQ + Hadoop © 2012 SAP AG. All rights reserved. 21
    • INTRODUCING SYBASE IQ 15.4App services — Sybase family of products integration © 2012 SAP AG. All rights reserved. 22
    • SYBASE IQECO-SYSTEM – RICH MULTI-PRODUCT SUPPORT© 2012 SAP AG. All rights reserved. 23
    • SUMMARYA complete platform for data analytics use cases © 2012 SAP AG. All rights reserved. 24
    • TeşekkürlerMustafa KutluSybase Türkiyemustafa.kutlu@sybase.com.tr