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Run Oracle Apps in the Cloud with dashDB
The document outlines IBM's DashDB, a cloud-based data warehousing service that offers Oracle compatibility and advanced analytics capabilities. It emphasizes ease of migration from Oracle databases to DashDB through the Database Conversion Workbench, which simplifies code syntax conversion and compatibility assessment. DashDB provides a fully managed environment with high performance, scalability, and built-in features for data processing and analysis.
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Run Oracle Apps in the Cloud with dashDB
- 1. Run Oracle Appsin the Cloud with dashDB
- 2. IBM Cloud DataServices
- 3. ©2015 IBM Corporation Afew of our IBM Cloud DBaaS Offerings… Cloudant dashDB BigInsights on Cloud DB2 on Cloud IBM Analytics for Apache Spark Operational Data Store Cloud Data Warehouse Hadoop in the Cloud Hosted Database in the Cloud Fully Managed Spark • Global data distribution • Massively scalable • Eventually consistent data model • Built for mobile, Systems of Engagement • SQL interface • MPP • ACID compliance • Columnar, in-memory performance • BLU augmented with NZ in-DB analytics • Built for Systems of Insight • Bare metal performance • Build on reference architecture • BigInsights enterprise features • Power of DB2 • Fast Provisioning • Flexible pricing • No loss of DBA control • Built for Systems of Record • In-memory application framework for data processing and analysis • Built-in machine learning • Elastic scaling
- 4. ©2015 IBM Corporation IBMdashDB Fast, fully managed service In-memory technology = high performance Predictive modeling built into the database Works with an ecosystem of BI apps and tools Integrated security and maintenance
- 5. Data warehousing inthe cloud 1. Augment existing data warehouse 2. Tap into born-on-the-cloud data – Analysis of NoSQL 3. Data science data store 4. Standalone enterprise data warehouse-as-a-service
- 6. ©2015 IBM Corporation dashDBis available as a fully managed service through IBM Bluemix. IBM manages the setup, configuration, tuning and disaster recovery operations, so you can get straight to building…
- 7. ©2015 IBM Corporation dashDBfeatures Oracle compatibility BLU in-memory acceleration Columnar technology In-database predictive analytics Cloudant integration for JSON analytics Built-in Netezza algorithms SoftLayer bare metal infrastructure Open data and Twitter data integration Elastic and high performance MPP architecture
- 8. ©2015 IBM Corporation ‘Loadand Go’simplicity - Oracle Exadata and Oracle RAC are extremely complex and time consuming to configure, tune and manage Dynamic in-memory optimized technology - Oracle Exadata is NOT an in-memory database Column organization performs better for analytics - Oracle is row based – only has ‘patchwork’ columnar database capabilities dashDB is Better, Faster and Simpler
- 9. ©2015 IBM Corporation Actionablecompression delivers superior performance - Oracle can’t work on compressed data SIMD exploitation of CPU speeds up performance - Oracle doesn’t exploit SIMD or offer columnar support Dynamic caching means hot columns stay in memory - Oracle is forced to read data that the query isn’t interested in… wasted memory, wasted CPU, wasted I/O… dashDB is Better, Faster and Simpler
- 10. ©2015 IBM Corporation WITHORACLE IN-MEMORY OPTION Database design and tuning 1. Decide on partition strategies 2. Select row compression strategy 3. Create table 4. Load data 5. Decide what partitions are hot 6. Decide what columns are hot 7. Allocate enough memory for columnar 8. Alter tables/partitions to specify what objects you want to have columnar 9. Decide what if any indexes to drop 10. Monitor memory to ensure you don’t run out Simplification of Analytic Operations Create Load GO! Repeat AFTER dashDB 1. Create table 2. Load data
- 11. dashDB / OracleCompatibility What does it mean?
- 12. ©2015 IBM Corporation Compatibility:what does it mean? Syntax toleration and feature extensions Where no semantic conflicts exist Compatibility mode Overcome clashes between dashDB and other SQL dialects Database Conversion Workbench Tooling to assist with evaluation and conversion Near out of the box compatibility for your app - Client side - Server side
- 13. ©2015 IBM Corporation OracleDatabase > dashDB Concurrency Control > Native support SQL > Native support PL/SQL > Native support Packages > Native support Built-in Packages > Native support OCI > Native support JDBC > Native support Online Schema Changes > Native support SQL *Plus Scripts > Native support dashDB runs Oracle code seamlessly SQL Runtime Engine SQL Compiler PL/SQL Compiler SQL PL Compiler Application dashDB service Database
- 14. ©2015 IBM Corporation SQLCompatibility: Feature Highlights Features SQL Dialect NUMBER, VARCHAR2, NVARCHAR2, DATE, SUBTYPE, VARRAY, HASH TABLES, ROW TYPE, CURSOR TYPE (+) Join Syntax, ROWNUM, Oracle built-in functions PL/SQL Native support for most PL/SQL syntax PL/SQL Packages Named collection of functions, procedures, types and variables Built-in Package Library DBMS_ALERT, DBMS_JOB, DBMS_DDL, DBMS_LOB DBMS_SQL, DBMS_OUTPUT, DBMS_PIPE, DBMS_UTILITY UTL_FILE, UTL_DIR, UTL_MAIL, UTL_SMTP Application Enablement OCI JDBC Extensions SQL*Plus Scripts And more …
- 15. ©2015 IBM Corporation Architecturallythe concepts are the same Easy to learn I/O Subsystem Asynchronous, Parallel I/O Automatic, Intelligent Data Striping with Parallel I/O Big block I/O Scatter/Gather I/O Parallelism SQL and Utilities Intra- & Intra-Partition Parallelism Cost-based Optimizer with Query Rewrite Dynamic throttling based on load Very Large Memory Exploitation 64 bit Support I/O Buffering Multiple Buffer Pools SMP Exploitation All CPUs exploited through OS threads and processes
- 16. Database Conversion Workbench TheConversion Process
- 17. IBM Database ConversionWorkbench (DCW) An easy framework that can help you: • Move your Oracle databases to dashDB • Move your Pure Data for Analytics (PDA) databases to dashDB Provided as a no-charge plug-in to add migration capabilities to Data Studio DCW is comprised of several tools and wizards that guide users through well- defined best practices migration steps
- 18. ©2015 IBM Corporation DCWFunctions and Features DCW Task Launcher - An integrated help guide, which provides step by step instructions through the conversion process DDL Extraction - Extracts objects in the source database, used by DCW to analyze the source database and provide compatibility assessment and work effort Compatibility Evaluation – Provides a report of the estimated % compatibility of Oracle SQL and PL/SQL statements with dashDB, outlining the major issues of the conversion, code that was auto-converted, as well as code that must be fixed manually *Note: report is encrypted for non-IBM users. The encrypted file can be sent to AskDCW@ca.ibm.com, which will reply with a decrypted report Code Conversion - Auto-converts Oracle syntax to dashDB compatible syntax. This streamlines a time consuming process Object Creation – splits a single DDL file into multiple files, organized by object types, which can then be executed against the target dashDB database to create the required objects Object Dependencies Visualizer - Generates a dependency graph of objects in the source database
- 19. ©2015 IBM Corporation DatabaseConversion Workbench (DCW)
- 20. ©2015 IBM Corporation Assessment:Extract database DDL and PL/SQL from source DCW wizards will walk users through processes to extract DDL and PL/SQL from source (Oracle) database … one of two ways: 1. via a connection from Data Studio to Oracle database 2. generation of custom extraction script to be run against Oracle database
- 21. ©2015 IBM Corporation Assessment:Import database DDL and PL/SQL into DCW •After user has obtained the source DDL and PL SQL, DCW Import wizard will walk user through process to import file into DCW •The DDL file is imported into a DCW Project, and automatically converted to a .sql extension
- 22. ©2015 IBM Corporation Assessment:Generate the DCW Evaluation Report askdcw@ca.ibm.com @ email: Encrypted file Run DCW Evaluate Compatibility wizard DCW will generate an .xmle file IBM will email decrypted and formatted report to user
- 23. ©2015 IBM Corporation Assessment:Report and Automatic Code Conversion • Compatibility Evaluation Report - provides the estimated % compatibility of Oracle SQL and PL/SQL statements with dashDB, outlining the major issues of the conversion that require special attention, code that was auto-converted, as well as code that must be fixed manually • Automatic Code Conversion - Auto-converts Oracle syntax to dashDB compatible syntax
- 24. ©2015 IBM Corporation Compatibility is implemented in dashDB's core for native performance dashDB customers benefit from simplified skills transfer dashDB will continue to extend compatibility with Oracle applications to further drive down enablement cost dashDB provides tooling for up front evaluation and to assist with the conversion dashDB & Oracle Compatibility
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Editor's Notes
- #6 With dashDB you can build your hybrid information management strategy and extend on-premise data warehouse environments to the cloud. Since you pay for capacity as you need it, the platform is elastic and can grow with your business needs. If you have a powerful data warehouse on-premise, which you’re using for critical workloads, you may not want your developers testing new code there. With dashDB, your developers can experiment, build new application code and test it on the cloud without disrupting on-premise operations. Because dashDB is compatible with Oracle, DB2, Netezza and PostgreSQL, you can have confidence that code developed and tested on dashDB will run well on premises, too. For data sets up to about 50 GB you can even use dashDB for development and QA free of charge. You can easily synchronize JSON documents within IBM Cloudant to structured data within dashDB, providing a way to bring BI and analytics to your unstructured data. The dashDB service maintains a robust set of predictive analytic algorithms for data scientists and analysts, and includes R runtime and RStudio built in. This makes dashDB an optimal data warehouse to support data analysis and statistical software development. Finally, dashDB’s scalability and performance mean you can use it as a standalone, fully managed cloud data warehousing service – regardless of your size, and if you want to build a data mart, a development environment, or an enterprise data warehouse
- #7 And like all cloud data services, dashDB is available through IBM Bluemix, starting for free. IBM manages the setup, configuration, tuning and disaster recovery operations, so you can get straight to building your newest solutions, applications and architectures and bringing them to market, without having to invest in costly new on premises data warehousing infrastructure.
- #8 The keys to dashDB’s performance lie in its secret sauce – a combination of powerful technologies including IBM BLU Acceleration dynamic in-memory column store, which minimizes input output operations and achieves an order of magnitude in speedup compared to conventional row store databases. dashDB is also directly integrated with Cloudant, making it easy to ingest JSON documents to incorporate unstructured data into your analytics and business intelligence operations; and embedded IBM Netezza in-database analytics, allowing you to run analytics natively in the database, where the data resides, and gain huge efficiencies. Underneath all of this is IBM Softlayer bare metal infrastructure, providing a high degree of performance, control and flexibility. What’s more, because no cloud services should exist in isolation, dashDB is designed with the greater business intelligence ecosystem in mind, and is highly compatible with the technologies and toolsets you already know. That means you can easily integrate dashDB with your existing data management solutions, ranging from Oracle on premises systems to IBM Pure Data for Analytics appliances to Cloudant NoSQL as a service. And you can seamlessly connect to analytics toolkits including aginity, Watston Analytics, esri and R, to realize more value from your data And finally, you can integrate with a wide variety of business intelligence tools, including IBM solutions like Cognos and third party offerings like Looker and Tableau.