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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

Daan Bakboord

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

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  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

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  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

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  4. 4

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  5. 5
    Data Driven Decisions
    Initiatives
    IT IT IT IT IT
    Reliable Information / Insights
    A B
    Policy / Strategy

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  6. 6
    Data Explosion
    Mobile
    Social
    Internet of Things

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  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

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  8. 8
    Deployment options
    • Cost Control
    • Agility
    • Integrated
    • Same
    Experience
    • Co-Location

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  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

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  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

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  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

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  12. 12
    Hadoop Eco System
    Data Management
    Reservoir Factory Warehouse

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  13. 13
    Cloudera's distribution of Apache Hadoop
    Data Management
    Reservoir Factory Warehouse
    • Store
    • Process
    • Discover
    • Model
    • Discover
    • Serve

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  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

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  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

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  16. 16
    Oracle Big Data Platform

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  17. 17
    Oracle Big Data Cloud Platform

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  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

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  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

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  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

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  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

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  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

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  23. 23
    Let’s get SOCIAL

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