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MarkLogic Overview, Ron Avnur, MarkLogic
 

MarkLogic Overview, Ron Avnur, MarkLogic

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MarkLogic Overview, Ron Avnur, MarkLogic MarkLogic Overview, Ron Avnur, MarkLogic Presentation Transcript

  • MarkLogic Overview
    Ron Avnur, Vice President of Engineering
    Version 1.3
  • About MarkLogic
    200+ customers
    Government, Media, Financial Services
    200+ employees
    Silicon Valley, Austin, Boston, Frankfurt, London, New York, Washington DC
    Flagship product is purpose-built dbms for unstructured information
    Patented, award-winning technology
    MarkLogic is revolutionizing the way organizations leverage information
  • Leverage Valuable Information More Effectively
    Physicians better diagnose their patients
    Government agencies preserve and archive national treasures
    Traditional media companies move to new media
    Wall Street analyze complex derivatives positions
    Soldiers share information to perform their missions more effectively
    MarkLogic helps:
  • Agenda
    Selected Customer Stories
    Core Technology
    New Features
  • Repurpose Content
    Over 25 reference texts
    Differential diagnosis tool
    Designed by pathologists for pathologists
    • Diagnostic decision support for pathologists at point of work
    • Over 25 reference texts
    • Differential diagnosis tool
  • Repurpose Content
  • Metadata Catalog
  • Information Sharing
  • Custom Publishing
  • Information Intelligence
    For any set of articles:
    - Find the most highly cited authors in a field
    - Find and track hot topics in specific subject areas
    - Check the most recent citation data on authors and articles
    - Track and evaluate research trends.
  • Social Applications
  • Mobile Applications
    Zinio
    Full featured online magazines
    New England Journal of Medicine
    Subscription-based application
    American Institute of Physics
    Mobile access to journals
  • Agile Content Platform
  • Application Builder
  • Agenda
    Selected Customer Stories
    Core Technology
    New Features
  • The Industry’s Leading DBMS for Information Applications
    MarkLogic enables agility, speed and scale
    MarkLogic Server
    Application Services
    Office Tool Kits
    SharePoint Connector
    Public and Private Cloud Deployment Options
  • Data Model
    A database for semi-structured information
    XML Data Model
    fpML
    Document
    Trade
    Product
    Title
    Author
    Metadata
    Trade
    Cashflow
    Section
    ID
    ID
    Last
    TradeLeg
    First
    TradeLeg
    Amount
    TradeLeg
    Event
    Event
    Event
    Event
    Section
    Section
    Section
    Section
  • MarkLogic Server in 8 Adjectives
    XML-centric
    Transactional
    Search-centric
    Structure-aware
    Schema-free
    XQuery-driven
    Extremely fast
    Clustered
    Database Server
  • The Universal Index
    Range Indexes
    UNIVERSAL INDEX
    Term
    Term List
    “which”
    123, 127, 129, 152, 344, 791 . . .
    “uniquely”
    122, 125, 126, 129, 130, 167 . . .
    “identify”
    123, 126, 130, 142, 143, 167 . . .
    “each”
    123, 130, 131, 135, 162, 177 . . .
    Document References
    “data base”
    126, 130, 167, 212, 219, 377 . . .
    <article>
    . . .
    <article>/<abstract>
    . . .
    126, 130, 167, …
    <product>IMS</product>
    Directory(“/articles”)
    Collection(Red)
    Role:Editor + Action:Read
  • Shared-Nothing Architecture
    Host 1
    Host 3
    Host 2
    Host 4
    Host 5
    Host 6
    Host k
    partition1
    partition2
    partition3
    partitionm
    partition4
  • Agenda
    Selected Customer Stories
    Core Technology
    New Features
  • 4.2 Highlights
    XSLT support
    Flexible replication
    Shared-nothing failover
    Collector framework
    Filesystem collector
    Proximity boost
    Welcome page
    Compartment security
    Date/time parsing
    Pluggable password policy
    Client dictionaries for
    stemming
    Server fields
    AWS wrappers
    File upload collector
    New search API constraints
    Easier to extend App Builder
    Database rollback
    XSLT rendering in App Builder
    Date canonicalization pipeline
    Renaming pipeline
    Wildcard search optimizations
    Distinctive terms
    Result clustering
    Min / max occurs query
    Fast calculation of aggregates
    XDQP metering & Merge priority
    Search plan output
    Near-query optimizations
    TF normalization controls
    Extended query cancelling
    Range query caching
    Fast sampling
    Information Studio
    XSLT and XQuery cross-import
    cts:document-fragment-query
    Standalone properties
    Language detection
    Encoding detection
    Bulk load
    Pipeline monitoring
  • Application Builder Extensions
  • New Tool: Information Studio
    Easier to load content
    Build applications faster
    Features
    Collect
    Transform
    Configure
    Load
    Monitor
  • Information Studio API
    Manage flows
    Monitor progress
    Collector framework
    Plug-in development
    Custom transforms
  • XSLT
  • 4.2 Highlights: Search
    XSLT support
    Flexible replication
    Shared-nothing failover
    Collector framework
    Filesystem collector
    Proximity boost
    Welcome page
    Compartment security
    Result clustering
    Pluggable password policy
    Client dictionaries for
    stemming
    TF normalization controls
    AWS wrappers
    File upload collector
    New search API constraints
    Easier to extend App Builder
    Database rollback
    Standalone properties
    XSLT rendering in App Builder
    Date canonicalization pipeline
    Renaming pipeline
    Distinctive terms
    Min / max occurs query
    Date/time parsing
    Encoding detection
    XDQP metering & Merge priority
    Search plan output
    Near-query optimizations
    Extended query cancelling
    Range query caching
    Server fields
    Fast sampling
    Information Studio
    XSLT and XQuery cross-import
    cts:document-fragment-query
    Wildcard search optimizations
    Language detection
    Fast calculation of aggregates
    Bulk load
    Pipeline monitoring
  • Replication
  • Replication
  • Failover
    Host 1
    Host 3
    Host 2
    Host 4
    Host 5
    Host 6
    Host k
    CFS
    &
    SAN
    partition1
    partition2
    partition3
    partition4
  • Failover: A New Option
    Host 1
    Host 3
    Host 2
    Host 4
    Host 5
    Host 6
    Host k
    P1
    P1
    P2
    P2
    P3
    P3
    P4
    P4
    Local
    Storage
  • Point-In-Time Recovery
    Have
    Now
    Bad
    Transaction
    Last
    Backup
    Want
    Just Before
    Bad
    Transaction
    Last
    Backup
  • Instantaneous Point-In-Time Recovery
    Replay
    journals
    Just Before
    Bad
    Transaction
    Last
    Backup
    Recover to
    timestamp
    Just Before
    Bad
    Transaction
    Last
    Backup
  • Thank You
    Ron Avnur
    ron.avnur@marklogic.com