nl.OUG Tech Experience 2017 - Introduction in Oracle Big Data Cloud Service
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1. This document provides an overview of Oracle's big data and analytics cloud services, including the Big Data Cloud Service, Big Data Preparation Cloud Service, and Big Data Discovery Cloud Service. 2. It discusses Oracle's information management reference architecture and how the big data cloud services fit into the different tiers for data management, including the reservoir, factory, and warehouse. 3. The services provide capabilities for ingesting, processing, discovering, modeling, and analyzing big data, as well as data preparation, enrichment, and publishing functions.
nl.OUG Tech Experience 2017 - Introduction in Oracle Big Data Cloud Service
- 2. 2 Introduction Quistor: Your Business Analytics Partner of Choice Customers Worldwide 150+ Analytics & Big Data 12Years In Business Value Propositions4 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
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- 5. 5 Data Driven Decisions Initiatives IT IT IT IT IT Reliable Information / Insights A B Policy / Strategy
- 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 ScienceDiscoveryData 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
- 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
- 18. 18 Oracle Cloud Services for Big Data Big Data Preparation CloudBig 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