NTT DATA has been providing Hadoop professional services for enterprise customers for years. In this talk we will categorize Hadoop integration cases based on our experience and illustrate archetypal design practices how Hadoop clusters are deployed into existing infrastructure and services. We will also present enhancement cases motivated by customer’s demand including GPU for big math, HDFS capable storage system, etc.

1. Hadoop’s Life in Enterprise Systems Y Masatani OSS Professional Services System Platform Sector NTT DATA CORPORATION Hadoop World 2011 Nov 8 th

4. Size of IT Services Market by Sectors <FY ended March 31,2011> ［ Moderate Case ］ <2010> Source: Gartner, &quot;Forecast: IT Services Japan by Industry, 1Q 2011&quot; Tsuyoshi Ebina, 20 May 2011 Note: Chart created by NTT Data based on Gartner data 42.2% 20.4% Government and healthcare Financial Enterprise, services, etc. 31.7% Other 5.7% Government and healthcare-related 15.2% 23.4% Financial Enterprise, services, etc. 61.5% Approx. 15.9% Our Shares in Markets IT Services Market in Japan NTT DATA’s Consolidated Net Sales JPY 9.83 trillion JPY 1.16 trillion Percent of our net sales accounted for by each customer field /service when results are totaled using the criteria below Government and healthcare: Central Government and Related Agencies, Overseas Public Institutions, etc. / Local Government and Community-based Business/Healthcare Financial: Banks/Financial Unions/Insurance, Security and Credit Corporations/Settlement Services Enterprise, services, etc.: Global IT Services Company Other: Sales not included in the above : (JPY Trillion) Approx. 6.1% Approx. 21.3%

8. Popularity of Hadoop ~ 2011 Fall 3+ years none < 3 months 3 < 6 6 < 12 months 1 < 3 years ~50% attendees are still under research ~30% just started within 6 months

18. Archetype of Integration between Engines Big Data Processing Latency Size GB TB PB Enterprise Batch Processing financial media public media telcom telcom public telcom RDBMS Low-Latency Serving Systems DWH, Search Engine, etc Hadoop Raw Data Source Input Coherent Import and Export Reduction sec min hour day Online Processing Online Batch Processing Query & Search Processing

25. Breakdown of Elapsed Time for K-means 24 cores 3 nodes 256 cores 1 node

27. Copyright 2011 FUJITSU LIMITED Enhanced Storage Architecture Established storage management technology (memory caching and disk I/O scheduling) and enhanced dedicated network enables boosted HDFS performance Local FS Mem CPU Extract Disk I/O bandwidth as of Locality Local FS Mem CPU Local FS Mem CPU Mem CPU Mem CPU Mem CPU Meshed network (40Gb b/w) Pros: Achieve Read 5x and Write 10x performance based on a financial enterprise batch benchmark case compared to local disk HDFS. Cons: Limited scalability (up to 40~50 nodes based on the prototype configuration, will be extended to ~120) Enhanced Bandwidth between Nodes and Storage Storage File system supports HDFS APIs

30. Thank you contact: hadoop at kits.nttdata.co.jp