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Big Data Diagrams and Visuals Toolbox infodiagram PPT
 

Big Data Diagrams and Visuals Toolbox infodiagram PPT

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Big Data diagrams and icons visuals: ...

Big Data diagrams and icons visuals:
- Big Data definition 3V, 4V: Volume, Velocity, Variety, Veracity
- Big Data New Business Opportunities: Mobile, Social media ...
- Big Data Technologies: Software and Hardware
- Data sizes table: Small, Large, Big data

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    Big Data Diagrams and Visuals Toolbox infodiagram PPT Big Data Diagrams and Visuals Toolbox infodiagram PPT Presentation Transcript

    • Copyright: infoDiagram.comCopyright: infoDiagram.com V V V Variety Big Data Visuals Toolbox Volume Velocity VeracityVariety Social media Mobile M2M
    • Copyright: infoDiagram.com V V V Variety Big data is high volume, high velocity, and/or high variety information assets that require new forms of processing to enable enhanced decision making, insight discovery and process optimization. Doug Laney, Gartner, 2012
    • Copyright: infoDiagram.com Volume Huge data size, terabytes – petabytes Velocity High speed of data flow, data change and data processing Variety Various data sources (social, mobile, M2M, structured and unstructured data) Data Volume Data Variety Data Velocity V VV V VV V VV
    • Copyright: infoDiagram.com Velocity High speed of data flow, change and processing Volume Huge data size, terabytes - petabytes Variety Various data sources (social, mobile, M2M, structured and unstructured data) V V V V Veracity Various levels of data uncertainty and reliability
    • Copyright: infoDiagram.com Big Data Volume • increasing data amount • handling Terabytes – Petabytes • 1 TB = 1 000 000 000 000 bytes = 1012bytes = 1000 gigabytes • 1 PB = 1 000 000 000 000 000 B = 1015bytes = 1000 terabytes Volume Velocity VeracityVariety
    • Copyright: infoDiagram.com Velocity of data processing Need to process data in a fast way, considering their huge amount (TB, PB) and variety (distributed, mix of structured and unstructured data) E.g. • Searching Twitter posts • Fast analysis of video streams (Youtube), • Image recognition (real-time augmented reality, online photo faces recognition), • Sound analysis (speech recognition) • Text analysis (Internet search) Volume Velocity VeracityVariety
    • Copyright: infoDiagram.com Huge variety of big data • Data from various data sources • Social media (Facebook, Twitter) • Mobile data (location, texting) • Machine to Machine systems (GPS, logs, RFID…) • Database systems • Handling various data types • Structured • records in databases (customers, billing, stock exchange data…), Machine logs • Unstructured • free text, video, sounds Volume Velocity VeracityVariety Social media Mobile M2M
    • Copyright: infoDiagram.com Veracity of big data Various data uncertainty and reliability • Imprecision of data (especially of unstructured data – e.g. text message can have double meaning) • Different level of data quality of structured data (data values are certain and precise) and unstructured data (fuzzy interpreting of images, free text, speech wording …) • Technical data quality issues (various formats, source availability, updates) Volume Velocity VeracityVariety
    • Copyright: infoDiagram.com HardwareSoftware New products Cheaper operations Business Opportunities Technology Infrastructure Big Data
    • Copyright: infoDiagram.com New products Cheaper operations Business Opportunities Big Data Localization services Mobile services Social media services Augmented reality Realtime information … IT in the cloud (e.g. salesforce.com, Google docs, Microsoft Office 365…)
    • Copyright: infoDiagram.com HardwareSoftware Technology Infrastructure Big Data Data Analytics & Visualizations, BI • Qlikview, Tableau, SAS, GoodData … Databases • Oracle, IBM, Cloudera, HortonWorks, EMC2, AWS, Windows Azure Technologies • Hadoop • MapReduce • NoSQL • Apache HBase
    • Copyright: infoDiagram.com Cloud apps & tech SaaS Software as a Service Big Data
    • Copyright: infoDiagram.com Big Data Applications Banks & Insurance Healtcare & Research Telco Energy & Utilities Automotive production Retail
    • Copyright: infoDiagram.com Examples Characteristics Typical tools Analytical methods Small Data (megabytes) Sales records, Customers database (small and medium companies) Hundreds – thousands of records Personal computer, Excel, R, other basic statistics software Simple statistics Large Data (gigabytes- terabytes) Customer databases (big companies) Millions of records, mostly structured data Server workstation computer, Relational database systems, data warehouses Advanced statistics, business intelligence, data mining, Big Data (terabytes – petabytes) Customer interactions (social media, mobile), multimedia (video, images, free text), location-based data, RFIM Over millions of records, distributed, unstructured Cloud, data centers, Distributed databases, NoSQL, Hadoop MapReduce, Distributed File Systems Examples Characteristics Typical tools Analytical methods
    • Copyright: infoDiagram.comCopyright: infoDiagram.com
    • Copyright: infoDiagram.comCopyright: infoDiagram.com Contact us in case of questions, comments or topic cooperation www.infoDiagram.com
    • Copyright: infoDiagram.comCopyright: infoDiagram.com Follow