Oracle Autonomous szolgáltatások és Database 18c áttekintés Fekete Zoltán Principal presales consultant Platform as a Service Database, Exadata, DW, Big Data, Analytics 2018. április 10. Platform szekció
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HOUG Konferencia, Platform szekció, KEDD 14:00-14:30 Oracle Private Cloud Exadatán Tenant kezelés, Okner Zsolt 14:30-15:00 Integration Cloud újdonságok, Petrohán Zsolt, Oracle 15:00-15:30 Autonomous Database, ADWC, 18c, Fekete Zoltán, Oracle 15:30-15:50 Kávészünet 15:50-16:20 Oracle cloud szolgáltatások élesben, tapasztalatok Farkas Bálint, Suzuki 16:20-16:35 Java 9 upgrade és Oracle Java Cloud QT15 Hodossy Balázs, Webváltó 16:35-16:50 Indexelési újdonságok a Database 12c R1 és R2-ben QT15, Szabó Rozalinda 16:50-17:20 How All-Flash arrays change the life of a DBA, Stahl István, MSCI; Akóts Gábor, MSCI
HOUG Konferencia, Platform szekció, SZERDA 09:30-10:00 Adatbázis migráció: Oracle DB SE 11.2 SE2 12c, Tapsonyi Tamás, KSH 10:00-10:15 Mi fán terem a Blokklánc - Blockchain? QT15, Molnár Balázs 10:15-10:30 Chatbot felhő szolgáltatás QT15, Petrohán Zsolt 10:30-11:00 T-Smart projekt adatmigráció Siebelbe SPARC-on és hangolás, Medveczki György, T-Systems 11:00-11:20 Kávészünet 11:20-11:50 SOA tapasztalatok és előnyök bemutatása, Borbás Sándor, T-Systems Magyarország 11:50-12:20 Dockertől a Kubernetesig, Vigh Zoltán, codefactory.hu 12:20-12:50 Oracle Database 12c Data Guard újdonságok, Application Continuity tapasztalatok, Papp Balázs, Webváltó (Techdata)
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Database Cloud szolgáltatások mindenkinek 100% kompatibilis, belépő szinttől a működéskritikus rendszerekig Exadata Express Database Elastic Compute or Bare Metal Exadata Adatbázis fejlesztés KKV és osztály szintű alkalmazások Enterprise alkalmazások MAA, skálázhatóság és teljesítmény Platform jellege Megosztott Dedikált Engineered
Database Cloud: adattitkosítás mindenkinek: TDE https://cloud.oracle.com/en_us/opc/database/pricing Enterprise package: DB EE, Data Masking and Subsetting Pack, Diagnostics and Tuning Packs, Real Application Testing High Performance: Multitenant, Partitioning, Advanced Compression, Advanced Security, Label Security, Database Vault, OLAP, Advanced Analytics, Spatial & Graph, Database Lifecycle Management Pack,Cloud Management Pack for Oracle Database. Extreme Performance: Real Application Clusters, Database In-Memory, Active Data Guard
Exadata Cloud: Choice of Deployment Models Core Exadata Platform Flexible Subscription Model Cloud Automation Software Defined Networking Cloud Security and Hardening Oracle- Managed Exadata Infrastructure Exadata Cloud at Customer (ExaCC) In Customer Data Centers Exadata Public Cloud Service (ExaCS) In Oracle Public Cloud Data Centers 10
Megjelent a Database 18c ~ Database 12.2.0.2 Release Schedule of Current Database Releases (Doc ID 742060.1) 1-Mar-2018-18c released in OCI and OCI-C Database services 16-Feb-2018-18c is released for Exadata and LiveSQL.oracle.com * Downtime may vary based on services 11
VTB PJSC is second largest bank in Russia 80 000 employees / 40 million clients 327 cities / 20 countries 15000 ATM / 106 000 POS Technologies like Autonomous Data Warehouse Cloud dramatically simplify the lives of sysadmins making science fiction a reality Alexander Khokhlov, Head of IT Division 12
The Autonomous Data Warehouse Cloud will allow Hertz to reduce costs and re-invest savings into improving our customer service and rewarding our customers Benjamin Arnulf, Director, BI & Analytics, Hertz 13
Minnesota State - Minnesota State Colleges and Universities) 5th Largest Higher Education System in the US Over 3,700 academic programs Nearly 400,000 students annually We've found that the Autonomous Data Warehouse Cloud is very easy to use, very easy to load data, and the performance has been amazing Miles Oustad, Data Integration Team Manager, Minnesota State 14
QMP - Dallas based healthcare holdings company specializing in ancillary service management e.g lab management and testing Sensa Analytics technology company offering cloud based solutions for healthcare management and operations When you're dealing with human lives, time is everything. Having Autonomous Data Warehouse Cloud automatically tune and manage itself with no downtime means faster response times and quicker decisions - that's critical for us and our patients Michael Morales, CEO, QMP Health 15
CIO Research: a legnagyobb DW kihívások 66% nem tudja menedzselni: adatmenny., user 60% túl komplex 38% előre túl nagy befektetés és éves követés 33% lasssú, lassan bevezethető 19% túl sok adattípust nem tudják kezelni Source: CIO Research Report: Biggest Challenges of Current Data Warehousing Solution 9
Az Oracle kiterjeszti az autonóm képességeket a teljes felhő platformra Self-Driving, Self-Securing, Self-Repairing; a szervezetek képesek elérni: Költségek csökkentése, Kockázatok csökkentése, Gyorsabb innováció, Predikciós betekintés az adatokba 17
Az Autonomous képességek Self-Driving kisebb költség, nagyobb produktivitás Eliminates human labor to provision, secure, monitor, backup, recover, troubleshoot & tune. Automatically upgrades & patches itself while running. Testing automation ensures changes are safe Elastically grows and shrinks compute or storage without downtime. Pay only for what you use Self-Securing nagyobb biztonság, kisebb kockázat Protection from external attacks & from malicious internal users Automatically applies security updates with no downtime. Automatic encryption of all data Automatic interception of data leaks across all repositories with preventative controls Self-Repairing nagyobb rendelkezésre állás Automation eliminates administrator errors Up to 99.995% availability*. < 2.5 mins downtime per month including planned maintenance * Availability can vary based on services 18
Autonomous Cloud Platform az ügyfeink ezt látják Kisebb költségek Reduce administration costs up to 80% with complete automation of operations and tuning Reduce runtime costs up to 70% by paying only for resources needed at any given time Deploy new apps in minutes vs months,, save tens of thousands of dollars in resource costs Kisebb kockázat Mitigate breach impact by avoiding reputational damage, associated breach costs & revenue losses Reduce human error, under 2.5 minutes of downtime per month* Run highest throughput mission critical workloads on proven Oracle & open source technologies * Downtime may vary based on services 19
Autonomous Cloud Platform az ügyfeink ezt látják Gyorsabb innováció Develop new apps within hours with self generating code plus intelligent & secure CI/CD pipelines Deploy new business processes within minutes vs. days with voice enabled self defining integrations Provision a Data Warehouse in seconds and accelerate time to innovation Predikciós betekintés az adatokba Proactively discover new insights with ML-based continuous data analysis Analyze data using AI with predictive data visualization, narration, & intelligent data discovery Get proactive insights with comprehensive in-database analytics for SQL, ML, Graph, R, Times series 20
Introducing Oracle Autonomous Data Warehouse Cloud Value Proposition Könnyen kezelhető DW létrehozás percen belül Automatizált menedzsment DB admin Egyszerű betöltés és Automatizált Tuning Felhőre migrációs eszközök Gyors Mérések Nagy egyidejű munka, sok felhasználós Exadata alapú, extrém nagy teljesítmény Elasztikus Csak a használatért fizet Független skálázás: számítási és tároló Instant skálázás leállás nélkül 21
Autonomous Database és Oracle Database 18c Autonomous Database Exadata CS, adatbázis automatizáció Oracle Cloud Több adat jobb predikciók, gépi tanulás Automatikus tuning, anomáliák felderítése és kezelése Policy-driven Automation 22
Adatbázis adminisztrátori kérdések és félelmek Elveszítem az állásomat? Megváltozik a munkám? Kevesebb irányításom, befolyásom lesz? 23
Hagyományos DBA feladatok Generic Tasks Configuration and tuning of systems, network, storage Database provisioning, patching Database backups, H/A, disaster recovery Database optimization Tasks Specific to Business Architecture, planning, data modeling Data security and data lifecycle management Application related tuning End-to-End service level management 24
Autonomous Database elvégzi az általános feladatokat Freedom from Drudgery for DBA: More Time to Innovate and Improve the Business Generic Tasks Infrastructure - integration, tuning of systems, network, storage Database provisioning, patching Database backups, H/A, disaster recovery Database optimization Tasks Specific to Business Architecture, planning, data modeling Data security and lifecycle management Application related tuning End-to-End service level management Autonomous Database 25
Adatbázis adminisztrátorok: a realitás Állásom: kevés DB szakértő van, a DB aut. évtizedek óta fejlődik. Megváltozik a munkám? Folyamatosan változik: több innováció, fejlesztés, üzleti fókusz, gyorsabb projektek és eredmények. Irányításom, befolyásom? Gyors létrehozás, compute, tároló, network. 26
Elasztikus számítási kapacitás For the Purposes of Your Compute usage in ADWC is measured by calculating the number of OCPU hours You use. Oracle Cloud Infrastructure Service console. Pricing is per OCPU hour consumed by the Cloud Service, from the time that the Cloud Service is launched until the Compute is terminated or stopped. Each partial OCPU hour consumed will be billed as a full hour. http://www.oracle.com/us/corporate/contracts/paas-iaas-universal-credits-3940775.pdf 27
Elasztikus tároló kapacitás For the purposes of Your Storage usage in Oracle ADWC is measured by calculating the number of TB months You use. Oracle Cloud Infrastructure Service console. Pricing is per TB month consumed by the Cloud Service, from the time that the Cloud Service is launched until the Cloud Service is terminated. Each TB consumed for part of a month will be billed as a month. http://www.oracle.com/us/corporate/contracts/paas-iaas-universal-credits-3940775.pdf 28
Audio Books, meghallgatható anyagok Oracle Database In-Memory Best Practices for IoT Workloads Transforming Data Management with Oracle Database 12c Release 2 Oracle Multitenant: New Features in Oracle Database 18c https://soundcloud.com/user-842234988 29
Oracle Autonomous Data Warehouse Cloud Key Features High-Performance Queries and Concurrent Workloads Optimized query performance with preconfigured resource profiles for different types of users Oracle SQL Autonomous DW Cloud is compatible with all business analytics tools that support Oracle Database Self Driving Fully automated database for self-tuning patching and upgrading itself while the system is running Highly Elastic Independently scale compute and storage, without having to overpay for fixed blocks of resources Built-in Web-Based SQL Tool Apache Zeppelin based notebooks ready to run from your browser Database migration utility Dedicated cloud-ready migration tools for easy migration from Amazon Redshift, SQL Server and other databases Cloud-Based Data Loading Fast, scalable data-loading from Oracle Object Store, AWS S3, or on-premises Enterprise Grade Security Data is encrypted by default in the cloud, as well as in transit and at rest 30
Autonomous Database oracle.com/autonomousdatabase docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud YouTube: Autonomous Data Warehouse Cloud docs.oracle.com/en/database/oracle/oracle-database/18/ OTN: Oracle Database 18c Try Oracle Database 18c now on LiveSQL.oracle.com 31
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