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Oracle Autonomous Data Warehouse Cloud Webex - with Demo
- 1. Copyright © 2018,Oracle and/or its affiliates. All rights reserved. Self-Driving Self-Securing Self-Repairing Oracle Autonomous Data Warehouse Cloud Service Islam Gohar @islamygohar Principal Cloud Solutions Consultant Cloud Solutions Hub Sep 25th 2018
- 2. Copyright © 2018,Oracle and/or its affiliates. All rights reserved. Oracle Autonomous Data Warehouse Cloud Service | Agenda Oracle Strategy What do we mean by “Autonomous”? Autonomous Data Warehouse Cloud (ADWC) Offering ADWC Demo Data Visualization Pricing Q & A 1 2 3 4 5 6 7 2
- 3. Copyright © 2018,Oracle and/or its affiliates. All rights reserved. Introducing Autonomous Services on Oracle Cloud • We extend Autonomous capabilities by making Cloud Platform Services Self-Driving, Self-Securing, and Self-Repairing; enabling organizations to lower cost, reduce risk, accelerate innovation, and get predictive insights • New Suite of “Autonomous” Cloud Services – Data Management – Application Development – Mobile and Bots – Service and Data Integration – Analytics – Security and Management 3 Offering Definition StrategyDemoVisualizationPricing
- 4. Copyright © 2018,Oracle and/or its affiliates. All rights reserved. So What is “Autonomous”? Self-Driving Self-Securing Self-Repairing Offering Definition StrategyDemoVisualizationPricing
- 5. Copyright © 2018,Oracle and/or its affiliates. All rights reserved. Automated is Customer Managed • Customer must decide when/why to push buttons • Customer is on the hook if something goes wrong Automated vs Autonomous 7 Secure Patch Backup TuneProvision Offering Definition StrategyDemoVisualizationPricing
- 6. Copyright © 2018,Oracle and/or its affiliates. All rights reserved. Autonomous is Oracle Managed • Oracle uses best practices, and Customer just sets polices • Oracle automates customer policy based on Machine Learning • Oracle is on the hook if something goes wrong Automated vs Autonomous 8 Scale Patch BackupProvision Eliminate generic tasks, reduce admin efforts, reduce costs, reduce errors Provision Secure Tune Patch Backup Offering Definition StrategyDemoVisualizationPricing
- 7. Copyright © 2018Oracle and/or its affiliates. All rights reserved. Self-Driving – Lower Cost & Increased Productivity – Reduces man-hours spent to provision, monitor, operate, tune, backup & recover – 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 Oracle Autonomous Database Cloud Attributes Self-Securing – Lower Risk – Automatic encryption of all data – Only Wallet based secure connections allowed to connect – Automatically applies security updates with no downtime – Protection from external attacks & from malicious internal users Self-Repairing – Proactive Automatic Protection & Higher Availability – Automation eliminates administrator errors – Up to 99.995% availability*. < 2.5 mins downtime per month including planned maintenance 9 Offering Definition StrategyDemoVisualizationPricing
- 8. Copyright © 2018,Oracle and/or its affiliates. All rights reserved. 10 Autonomous DW Machine Learning Policy-driven Automation Exadata DB Optimized HW 18c DB Expanded Automation in the DB SW What makes Autonomous Data Warehouse Cloud unique? Self-Driving Self-Securing Self-Repairing Easy Fast Elastic Offering Definition StrategyDemoVisualizationPricing
- 9. Copyright © 2018Oracle and/or its affiliates. All rights reserved. Demo 11 - Provisioning ADWC Offering Definition StrategyDemoVisualizationPricing
- 10. Copyright © 2018Oracle and/or its affiliates. All rights reserved. Data Scientists, R Users How will Autonomous Cloud affect IT? Database Developers, Data Analysts Application Developers, BI Consultants DBAs Additional relevant data and “engineered features” Sensor data, Text, unstructured data, transactional data, spatial data, etc. Historical data Assembled historical data Historical or Current Data to be “scored” for predictions Predictions & Insights Oracle Database 12c 20
- 11. Copyright © 2018Oracle and/or its affiliates. All rights reserved. Demo 21 - Connecting to ADWC via SQL Developer - Running a query - Loading data Offering Definition StrategyDemoVisualizationPricing
- 12. Copyright © 2018,Oracle and/or its affiliates. All rights reserved. Oracle Autonomous Data Warehouse Cloud Key Features Highly Elastic Independently scale compute and storage, without having to overpay for fixed blocks of resources Built-in Web-Based SQL ML Tool Apache Zeppelin Oracle Machine Learning notebooks ready to run ML from browser Database migration utility Dedicated cloud-ready migration tools for easy migration from Amazon Redshift, SQL Server and other databases Enterprise Grade Security Data is encrypted by default in the cloud, as well as in transit and at rest 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 Cloud-Based Data Loading Fast, scalable data-loading from Oracle Object Store, AWS S3, or on-premises Confidential – Oracle Internal/Restricted/Highly Restricted 28 Offering Definition StrategyDemoVisualizationPricing
- 13. Copyright © 2018,Oracle and/or its affiliates. All rights reserved. Demo 29 - Scale Up ADWC for Performance Offering Definition StrategyDemoVisualizationPricing
- 14. Copyright © 2018,Oracle and/or its affiliates. All rights reserved. Oracle Autonomous Data Warehouse Cloud Key Features Highly Elastic Independently scale compute and storage, without having to overpay for fixed blocks of resources Built-in Web-Based SQL ML Tool Apache Zeppelin Oracle Machine Learning notebooks ready to run ML from browser Database migration utility Dedicated cloud-ready migration tools for easy migration from Amazon Redshift, SQL Server and other databases Enterprise Grade Security Data is encrypted by default in the cloud, as well as in transit and at rest 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 Cloud-Based Data Loading Fast, scalable data-loading from Oracle Object Store, AWS S3, or on-premises Confidential – Oracle Internal/Restricted/Highly Restricted 33 Offering Definition StrategyDemoVisualizationPricing
- 15. Copyright © 2018,Oracle and/or its affiliates. All rights reserved. Oracle Confidential Third Party Business Intelligence/Integration Platforms 34 https://www.oracle.com/technetwork/database/bi-datawarehousing/adwc-certification-matrix-4920939.pdf Offering Definition StrategyDemoVisualizationPricing
- 16. Copyright © 2018,Oracle and/or its affiliates. All rights reserved. Demo 35 - Using ADWC as a data source - Visualizing data coming from ADWC Offering Definition StrategyDemoVisualizationPricing
- 17. Copyright © 2018,Oracle and/or its affiliates. All rights reserved. Pricing for a 24x7 ADWC Autonomous Data Warehouse Cloud - Extreme Performance - License Included Part No. Product Description Qty Metric Unit Price Monthly Price B89040 Oracle Autonomous Data Warehouse Cloud - Extreme Performance 1 OCPU 1.68 1250 B89041 Oracle Autonomous Data Warehouse Cloud - Exadata Storage 1 TB 148 148 Monthly $ 1,397.92 Annually $ 16,775.04 https://cloud.oracle.com/en_US/datawarehouse/pricing Offering Definition StrategyDemoVisualizationPricing
- 18. Copyright © 2018,Oracle and/or its affiliates. All rights reserved. Summary
- 19. Copyright © 2018,Oracle and/or its affiliates. All rights reserved. Transformation
- 20. Copyright © 2018,Oracle and/or its affiliates. All rights reserved. 45 Oracle Cloud Platform Autonomous Services ORACLE CLOUD PLATFORM AUTONOMOUS SERVICES • Automated artifact discovery, dependency management, and policy based dependency updates • Automated identification & remediation of security issues throughout the CI/CD pipeline • Automated code generation with single button deployment enabling rapid application development even by LoB users App & Data Integration • Self-defining integrations automate business processes across SaaS & on-prem apps • Self defining data flows with automated data lake and data prep pipeline creation for ingesting data (streaming & batch) • Automated data catalog population with intelligent data profiling • Automated data discovery and preparation • Automated analysis for key findings along with visualization and narration delivering quicker real time insights • ML-driven user and entity behavior analytics to automatically isolate and eliminate suspicious and malicious users • Preventative controls to intercept data leaks across all kinds of data repositories • AI/ML-driven management of thresholds, server topology, and configuration drift • Rapid insights and innovation by provisioning a data warehouse in seconds • Automated elastic scaling to millions of transactions per sec; only pay for capacity used Analytics Application Development Data Management Security & Management Mobile & Bots • Self-learning chatbots observing interactions & preferences to automate frequently performed actions • Unsupervised, smart bots using ML to learn from conversations enabling fluid, contextual conversations • Automated caching API calls to nearest data center in real time to reduce response latency based on location
- 21. Copyright © 2018,Oracle and/or its affiliates. All rights reserved. Foundational Autonomous Capabilities 4646 Self-Driving Automates all management, scaling, monitoring, tuning Self-Securing Protects from both external attacks and malicious internal users Self-Repairing Protects from all downtime including planned maintenance
- 22. Copyright © 2018,Oracle and/or its affiliates. All rights reserved. 47 1) Move Data Marts / Data Warehouse to the Cloud Pain Points • Limited budget, resources to meet SLAs • Unable to keep pace with data volumes • Increased workloads & manual tasks impacting productivity IT and Operations CIO, IT Dir, DW Architect, DBA Application Owner App owner / developer Line of Business LoB Mgr, Business Analyst, Data Scientist Autonomous Data Warehouse Cloud | Key Use Cases 2) Deliver New Analytical Data Marts in the Cloud Pain Points • Managing large volumes of data • Analyzing growing data • Dev/Test (‘Sandbox’) environments costly to set up and maintain • Inability to retrieve & analyze data • Data preparation takes too long Start Now
- 23. Copyright © 2018,Oracle and/or its affiliates. All rights reserved. 48 More Info about Autonomous Cloud Platform oracle.com/autonomous Free Trial Account cloud.oracle.com/trial Cloud Cost Estimator cloud.oracle.com/en_US/cost-estimator
- 24. Copyright © 2018,Oracle and/or its affiliates. All rights reserved. 49 Offering Definition StrategyDemoVisualizationPricing
Editor's Notes
- #2 Slide 1 Thanks for attending everybody, welcome [thanks for your patience] Good morning, good afternoon In case you have any problem hearing me please chat in the webex, let us know Our session today is about one of our latest Oracle innovations It’s about hosting your DW on our data centers, on our cloud, running most of the DW administrative operations on your behalf, autonomously, and facilitating doing analytics My name is Islam, I’m a cloud consultant, that’s my 10th year working for Oracle I’m part of Cloud Solution Hub, this team is in KL, Malaysia, serving the whole Asia Pacific, that includes ASEAN, Australia, NZ, Hong Kong and Taiwan
- #3 Slide 2 Our Agenda I’ll tell you more about our Strategy regarding Cloud and regarding the new Autonomous capabilities I’ll explain what “autonomous” means Will tell you more details about our ADWC offering And how are we enabling developers / data scientists to visualize the data Currently We host ADWC in certain Regions/data centers And will show you a demo to break the ice between you and that new service Will let you know about the pricing too Please Feel free to interrupt me with questions, and also we’ll allow questions at the end Okay, let’s start
- #4 Slide 3 First of all, our PaaS Cloud Story started 6yrs ago with the private cloud offering, 2 years later (which is 4 years ago) we started offering you public cloud services (paas & iaas), and 3 years ago we built gen2 data centers to improve our cloud, as you see we are super committed to cloud. Now we are innovating on the cloud, by adding autonomous capabilities to our cloud platform, in different areas as you see, and stay tuned, more to come So Cloud is here to stay Autonomous capabilities being added to the cloud are here to stay We are sure that most of our customers can go run parts of their IT operations on our cloud X I have worked with customers that didn’t like to use Oracle cloud and later they started trying then currently they have an Oracle cloud subscription
- #5 Slide 8 And when we started adding this autonomous capability we started with Data Warehousing The reason for that is .. Nxt slide
- #6 Follow the slide … End of slide That’s why we
- #7 Slide 4 Yeah, that’s definitely a valid question, What is “autonomous”? What do you think? We automated a lot of things on our cloud years ago, so what’s new? Why did we start using that “autonomous” term now? Okay let me put it this way, when we add autonomous capabilities to a cloud service it becomes Self-Driving, Self-Securing, and Self-Repairing, we’ll get into these details don’t worry, but first let me define it in another way
- #8 Slide 5 [annotate] Let us compare automated with autonomous, let’s spot the differences between automated and Autonomous Let’s talk about creating and configuring a db on the db cloud, you will have to manually specify the db version, db release, db features, create your own public/private keys to secure Also fixing bugs, also backup, also tuning Even on-prem is autonomous
- #9 Slide 6 Automated 18c for on-prem But Autonomous Services are on cloud only, we run it on our 18c Your on-prem 18c is not going to download & patch db without your doing it But autonomous db cloud do this With the Autonomous Database customer choose to hand over all management to Oracle Cloud Operations If Customer hands over management to Oracle then: Database and OS Administrator Privileges are not needed and not provided The customer simply specifies a set of polices for example backup my database at 2am every more etc Exception and failure cases are handled by Oracle experts
- #10 Slide 7 Follow the slide
- #11 In terms of relational databases we are leaders, oracle db market share 18c on-prem not autonomous Firstly let’s be really clear about how Autonomous Database technology works and what makes it unique. The Autonomous Database group of services and solutions, including the Oracle Autonomous Data Warehouse, are built on Oracle Database 18c, the first release under Oracle’s new annual database software release model. The Oracle Autonomous Database solutions integrate Database 18c with our cloud infrastructure, machine learning and artificial intelligence… and a lot of additional tooling and automation to massively improve operations. For example: Provisioning, Patching, upgrading, and backing up online Monitoring, scaling, diagnosing performance, tuning, optimizing Testing and change management of complex applications and workloads Automatically handling failures and errors based on AI and machine learning That combination of our technologies together is what makes our solution so unique. And it can only work on Oracle Cloud platforms today. This is not available on other Clouds or non-Oracle platforms.
- #12 18c on cloud only
- #13 Login to ADWC console with Username, password and Identity Domain. Enter Service Type as “ADWC” [Click on Sign In]
- #14 You can notice the service is being created. [Click on Refresh]
- #15 You can notice the service is being created. [Click on Refresh]
- #16 You can notice the service is being created. [Click on Refresh]
- #17 You can notice the service is being created. [Click on Refresh]
- #18 Now the service is created [Click on the hamburger icon in front of the service and select “Service Console”] On next screen Enter the username as “admin and password <The administrator password you specified during provisioning> [Click on Sign In]
- #19 This is service console. Here we can see 3 tabs, Overview, Activity and Administration. To get the connection wallet file we will click on Administration. [Click on Administration]
- #20 This is service console. Here we can see 3 tabs, Overview, Activity and Administration. To get the connection wallet file we will click on Administration. [Click on Administration]
- #21 This is service console. Here we can see 3 tabs, Overview, Activity and Administration. To get the connection wallet file we will click on Administration. [Click on Administration]
- #22 18c on cloud only
- #23 Click on Download Client Credentials
- #24 Open SQL Developer and click on new connection Enter a Connection Name of your choice Username: admin Password: <The administrator password you specified during provisioning> Connection Type: Cloud PDB Configuration File: Browse and select the wallet file downloaded in the previous step Keystore Password: Password entered to download the wallet . Welcome1! in this demo Service: There are 3 pre-configured database services for each database. Pick <databasename>_high for this demo. [Click on Test] Make sure the connection status is success. [Click on Save] Connect to the database
- #26 Using your existing connection in SQL Developer, create a new user named stg using the above commands. Note: that the database role DWROLE includes the privileges required by a typical DW developer.
- #27 In SQL Developer create a new connection to your database, this time using the SH user you just created
- #28 Create sample tables in stg schema. The commands to create tables are in demostore with name Create_Tables.txt. Just copy paste the commands and click Run script.
- #29 Autonomous Data Warehouse Cloud provides three database services that you can choose when connecting to the database. These are named as HIGH, MEDIUM, and LOW services and provide different levels of performance and concurrency. The HIGH database service provides the maximum amount of resources for a query, this also means the number of concurrent queries you can run with this service will not be as much as with the other services. The MEDIUM database service provides multiple compute and IO resources for a query. This service also provides more concurrency compared to the HIGH database service. The LOW database service provides the least amount of resources for a query, this also means the number of concurrent queries you can run in this service will be higher than the other services.
- #30 18c on cloud only
- #34 Autonomous Data Warehouse Cloud provides three database services that you can choose when connecting to the database. These are named as HIGH, MEDIUM, and LOW services and provide different levels of performance and concurrency. The HIGH database service provides the maximum amount of resources for a query, this also means the number of concurrent queries you can run with this service will not be as much as with the other services. The MEDIUM database service provides multiple compute and IO resources for a query. This service also provides more concurrency compared to the HIGH database service. The LOW database service provides the least amount of resources for a query, this also means the number of concurrent queries you can run in this service will be higher than the other services.
- #36 And that concludes the demo
- #37 Login to the Oracle Analytics Cloud. Here we will configure the connection with the ADWC Service. This demo uses pre-created data in schema SSB. [Click on Data Set]
- #38 [Click on Oracle Data Warehouse Cloud]
- #39 Enter the connection details. You can find the host, Port number in wallet file.
- #40 This is a quick report of Profit by Product Brand and Region. Created a report which takes 102 seconds when the ADWC is running on 4 CPUs
- #41 ADWC comes with sample data of 6bil Logging into the Oracle Analytics Cloud. Here we have already configured the connection with the ADWC Service. This demo uses created data in schema SSB. lion
- #42 Here is a data visualization dashboard with a map, bar charts and a donut chart.
- #43 Why did we choose data warehouses and transactional databases to start with? The organization that takes real time quality decisions achieves its goals
- #45 And when we start talking about cloud, we have to begin with this incredible transformation that we are all experiencing in the market today. Cloud really is changing everything. It’s changing how businesses run and people work; it’s creating new categories and disrupting existing categories, it’s changing how we communicate and share. It’s changing the economics of business forever. It’s happening at an incredible speed and is here today. And it presents an great opportunity for all of us. And as we think about the role of Oracle’s in this transformation, Its important to think about Oracle’s role in other transformations…other technology transitions.
- #47 Self-Driving – Lower Cost & Increased Productivity Eliminates human labor to provision, secure, monitor, backup, recover, troubleshoot, and tune the database Automatically upgrades and 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 – Lower Risk Protection from external attacks and from malicious internal users Automatically applies security updates with no downtime. Automatic encryption of all data. Self-Repairing – Higher Availability Automation eliminates administrator errors SLA Guarantees 99.995% availability. Less than 30 minutes downtime per year including planned maintenance
- #52 Why did we choose data warehouses and transactional databases to start with? The organization that takes real time quality decisions achieves its goals