Confidential and Proprietary of Scaling Data All Rights Reserved2Scaling Data introductionWhat is “Big Data”Hadoop Capabil...
Confidential and Proprietary of Scaling Data All Rights Reserved3• Partnership comprised of seasoned Big Data, Hadoop,fina...
4FLEXIBILITYFLEXIBILITYCommoditization ofCommoditization ofDistributed ComputingDistributed ComputingSCALABILITYSCALABILIT...
5• Scaling Data focuses on Big Data problems inthe financial services arena.• We provide data discovery, capture, analysis...
6Scaling Data solutions focus on following Big Dataindustries :•Financial Services− Security/AML/Fraud− Payments Analysis•...
7OptimizedPerformance andResultsDataDiscoverySourceAnalysisEvolution of UsingBig DataHadoop ClusterDesign,Implementation &...
8Confidential and Proprietary of Scaling Data All Rights ReservedRelational Databases:• ACID system• Stores Tables (Schema...
9Companies that use Hadoop can expect the following:•70% are more confident in their ability to mange large data•88% can p...
10datadatadatadatadatadatadatadatadatadataBring the function to the dataTraditional RDBMSTraditional SANDistributedDataSto...
11AppsAppsDataIngest-CascadingAnalyticsStorePresentationStoreDataAdapterDataAdapterDataAdapterDataAdapterConfidential and ...
12• Efficiently execute sophisticatedanalyticsSupports real-time transaction processing;handle thousands of transactions a...
13info@scalingdata.comConfidential and Proprietary of Scaling Data All Rights Reserved
Scaling Data overview
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Scaling Data overview

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Overview of how Scaling Data addresses the need for organizations need for Hadoop to gain advantages in data analysis.

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  • Difference between san storage and commodity disk A gigabyte of storage in Hadoop is .25 per month Where 1.00 a month in other database
  • Hadoop is not a replacement for Oracle and Mysql you offload task that they do not well
  • Gathers data from multiple sites Industry Customized Algorithms Flexible/Scalable platform Ability to see and highly unique trends Ability to store and analyze petabytes of data
  • Scaling Data overview

    1. 1. Confidential and Proprietary of Scaling Data All Rights Reserved2Scaling Data introductionWhat is “Big Data”Hadoop Capabilities and UsesHadoop and its use in AnalyticsSSN overview and analytics directionNext steps
    2. 2. Confidential and Proprietary of Scaling Data All Rights Reserved3• Partnership comprised of seasoned Big Data, Hadoop,financial services, and security entrepreneurs• Focused on extracting value from ALL your data• Services include: Data Discovery Assessments Strategy Development Hadoop Implementation Hosted Hadoop Environment Advanced Analytics Development
    3. 3. 4FLEXIBILITYFLEXIBILITYCommoditization ofCommoditization ofDistributed ComputingDistributed ComputingSCALABILITYSCALABILITYDistributed Data ProcessingDistributed Data ProcessingCompetitive AdvantageCompetitive AdvantageSECURITYSECURITYHardened ServersHardened ServersWorld-Class EncryptionWorld-Class EncryptionConfidential and Proprietary of Scaling Data All Rights Reserved
    4. 4. 5• Scaling Data focuses on Big Data problems inthe financial services arena.• We provide data discovery, capture, analysisand strategies that allow organizations to betterleverage ALL current and historical data beyondtraditional relational and BI limitations• Hadoop HostingConfidential and Proprietary of Scaling Data All Rights Reserved
    5. 5. 6Scaling Data solutions focus on following Big Dataindustries :•Financial Services− Security/AML/Fraud− Payments Analysis•Retail− Spend Analysis− Pricing Optimization• Telecom and Utilities− Smart Grid Analysis− Pricing OptimizationConfidential and Proprietary of Scaling Data All Rights Reserved
    6. 6. 7OptimizedPerformance andResultsDataDiscoverySourceAnalysisEvolution of UsingBig DataHadoop ClusterDesign,Implementation &HostingOpportunityIdentificationAdvanced Big DataAnalyticsConfidential and Proprietary of Scaling Data All Rights Reserved
    7. 7. 8Confidential and Proprietary of Scaling Data All Rights ReservedRelational Databases:• ACID system• Stores Tables (Schema)• Stores single digit terabytes• Processes GB’s per query• SQL• Interactive response• Low latencyHadoop:• A distributed operating system fordata analysis• Stores Files (Structured andUnstructured)• Stores dozens of petabytes• Queries & Data Processing• Batch response (>30 sec)• HBase allows for low latency queriesbut you lose SQLHadoop is good for storing and processing large amounts of unstructured orstructured data in batch formHBase is the tool to use for petabyte size, low latency applications
    8. 8. 9Companies that use Hadoop can expect the following:•70% are more confident in their ability to mange large data•88% can perform more analysis on large data•88% can keep more historical records•94% can analyze data in greater detail•82% can capture and use all source dataSource: Ventana ResearchConfidential and Proprietary of Scaling Data All Rights Reserved
    9. 9. 10datadatadatadatadatadatadatadatadatadataBring the function to the dataTraditional RDBMSTraditional SANDistributedDataStoresConfidential and Proprietary of Scaling Data All Rights Reserved
    10. 10. 11AppsAppsDataIngest-CascadingAnalyticsStorePresentationStoreDataAdapterDataAdapterDataAdapterDataAdapterConfidential and Proprietary of Scaling Data All Rights Reserved
    11. 11. 12• Efficiently execute sophisticatedanalyticsSupports real-time transaction processing;handle thousands of transactions a second.Leverage the platform’s comprehensiverange of analytic capabilities.• Leverage packaged capabilities andopen analyticsBalance the need for proven, off-the-shelfanalytics with the capability to develop newrules / models with easy-to-use graphicaltools.• Drive process efficienciesAutomate and streamline investigations –with alert generation and comprehensiveworkflow and investigation management.• Adapt to changing organizationalneedsAdapt logic, processing and policies withuser-friendly controls and tools, with andwithout IT support. New solutions caneasily be deployed on the commonplatform to meet changing businessneeds.• Yield faster returnsProven, out-of-the-box analytics detect andprevent issues immediately. Speedimplementation with flexible datamapping to legacy environments and adata source agnostic architecture.Confidential and Proprietary of Scaling Data All Rights Reserved
    12. 12. 13info@scalingdata.comConfidential and Proprietary of Scaling Data All Rights Reserved

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