Introduction in Oracle Big Data Cloud Service

Introduction in Oracle Big Data Cloud Service

nl_OUG Tech Experience 2017 - Introduction in Oracle Big Data Cloud Service

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Daan Bakboord

June 16, 2017
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  1. 1 Introduction in Oracle Big Data Cloud Service nl.OUG Tech

    Experience 2017
  2. 2 Introduction Quistor: Your Business Analytics Partner of Choice Customers

    Worldwide 150+ Analytics & Big Data 12Years In Business Value Propositions 4 Delivery Centers 170 Employees 10 European Offices 35y Average Age Oracle Platinum Partner Managed Services JD Edwards Digital 24 7 Cloud ExaHotel
  3. 3 Who am I? http://www.daanalytics.nl https://twitter.com/daanbakboord https://nl.linkedin.com/in/daanbakboord Daan Bakboord •

    Oracle Business Anlytics Consultant at Quistor – Oracle BI EE (OBIEE) – Oracle BI Cloud Services (BICS) – Oracle Visual Analyzer – Oracle Big Data – Oracle BI Applications (OBIA) • Information Architecture – TOGAF – Archimate http://blog.daanalytics.nl #obihackers nl.OUG BIWA SIG Lead
  4. 4

  5. 5 Data Driven Decisions Initiatives IT IT IT IT IT

    Reliable Information / Insights A B Policy / Strategy
  6. 6 Data Explosion Mobile Social Internet of Things

  7. 7 Oracle Information Management Reference Architecture – Data Management Data

    Fast Data Events Actions 1 2 3 Streams Data Management Reservoir Factory Warehouse Results People Data Services Smart Things Data Lab Data Science Discovery Data Sets Apps Packaged Custom Business Analytics Visualization Reports
  8. 8 Deployment options • Cost Control • Agility • Integrated

    • Same Experience • Co-Location
  9. 9 Traditional Business Intelligence – Data Warehousing Data Management Reservoir

    Factory Warehouse Oracle Database 12.2 – New Features • Better In-Memory capabilities for DWH – Data Scans – Joins – Aggregation • New SQL Features – Approximate Query processing – Faster JSON processing via in-memory – Analytic Views • Common business logic inside the database • New highly-scalable Property Graph analytics
  10. 10 Traditional Business Intelligence – Oracle Exadata Data Management Reservoir

    Factory Warehouse • Ideal Database Hardware • Smart System Software • Full-Stack Integration On-Premises Oracle Exadata Customer Data Center Purchased Customer Managed Oracle Cloud Oracle Exadata Cloud Service Oracle Data Center Subscription Oracle Managed Customer Cloud Oracle Exadata Cloud Service Customer Data Center Subscription Oracle Managed
  11. 11 Oracle Data Warehouse Evolution – “Transforming to Big Data”

    ”Data Warehousing is Dead?” Data Management Reservoir Factory Warehouse Combine the best of both worlds • Extend Oracle DWH with Oracle Big Data • Combining (new) Big Data with Enterprise Data • Relational & Hadoop & NoSQL – On-Premises & Cloud • Transactional & Social and Web & IoT • Analytics & Data Mining & Machine Learning
  12. 12 Hadoop Eco System Data Management Reservoir Factory Warehouse

  13. 13 Cloudera's distribution of Apache Hadoop Data Management Reservoir Factory

    Warehouse • Store • Process • Discover • Model • Discover • Serve
  14. 14 Oracle Big Data Appliance Data Management Reservoir Factory Warehouse

    Hardware and Software engineered together Oracle Big Data Appliance includes: • Oracle Sun x86 servers powered by the Intel® Xeon® processor family • InfiniBand and Ethernet connectivity • Cloudera Enterprise – Data Hub Edition (including CDH, Impala, Spark, Kafka, etc.) • Oracle NoSQL Database Community Edition • Comprehensive security, including authentication, authorization, and auditing capabilities • Oracle Linux • Oracle Java JDK • Oracle R Distribution
  15. 15 Oracle Big Data Appliance Data Management Reservoir Factory Warehouse

    Hardware and Software engineered together Oracle Big Data Appliance includes optionally: • Oracle Big Data SQL • Oracle Big Data Connectors: – Oracle SQL Connector for Hadoop – Oracle Loader for Hadoop – Oracle XQuery for Hadoop – Oracle R Advanced Analytics for Hadoop – Oracle Data Integrator • Audit Vault and Database Firewall for Hadoop Auditing • Oracle Data Integrator • Oracle GoldenGate • Oracle NoSQL Database Enterprise Edition • Oracle Big Data Spatial and Graph • Oracle Big Data Discovery
  16. 16 Oracle Big Data Platform

  17. 17 Oracle Big Data Cloud Platform

  18. 18 Oracle Cloud Services for Big Data Big Data Preparation

    Cloud Big Data Cloud Big Data Discovery Cloud ”See the Potential in Big Data” ”The Visual Face of Hadoop” Store, Manage & Query Prepare & Enrich Discover & Analyze
  19. 19 Oracle Big Data in the Cloud Services (Compute Edition)

    Big Data Cloud Compute Oracle Big Data Cloud Service (BDCS) • Long-Lived Clusters • Full Cloudera Eco-System • Engineered Systems backbone • Focus on Performance & Control of environment • Big Data Cloud SQL • Big Data Cloud Machine (Customer On-Premise) Big Data Cloud Oracle Big Data Cloud Service Compute Edition (BDCS-CE) • Short-Lived Clusters – POC • Apache Hadoop & Apache Spark • Focus on Flexibility & Simplicity
  20. 20 Oracle Big Data Preparation Cloud Service Big Data Preparation

    Cloud Combination of Machine Learning with a Natural Language Processing Engine • Ingest – detect (e.g. duplicates) – mask (e.g. sensitive data) – cleanse & normalize • Enrich – profiling – annotation – data classification – semantic enrichment – missing data interpolation • Publish (on demand, scheduled or event driven) • Govern & Monitor – automated alerts – system controls – reusable user policies
  21. 21 Big Data Discovery Cloud Service Big Data Discovery Cloud

    ”The Visual Face of Hadoop” • See the Potential in Big Data – Find and Explore Big Data • Make Big Data better – Quickly Transform and Enrich • Unlock Big Data for everyone – Discover and Share new Value
  22. 22 Object Storage Cloud Object Storage Cloud Data in &

    Data out. • Ingest Data through Kafka (Event Hub – Kafka Cloud) • Process it through a processing tier – Oracle Big Data Cloud Service – Oracle Database Cloud • Land it in the Object Storage Cloud Service – Object Storage (Elastic, Fast and Secure) – Archive Storage (Infrequently accessed Data) – Database Backup – Large Dataset Transfer • Work with it via PaaS or Custom Service Big Data Discovery Cloud Database Cloud Event Hub – Kafka Cloud Big Data Cloud
  23. 23 Let’s get SOCIAL