Predictive Analytics Using Oracle Data Miner

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Predictive Analytics Using Oracle Data Miner

Author : Brendan Tierney
Publisher : McGraw Hill Professional
ISBN 13 : 0071821759
Total Pages : 466 pages
Book Rating : 4.0/5 (718 download)

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Book Synopsis Predictive Analytics Using Oracle Data Miner by : Brendan Tierney

Download or read book Predictive Analytics Using Oracle Data Miner written by Brendan Tierney and published by McGraw Hill Professional. This book was released on 2014-08-08 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build Next-Generation In-Database Predictive Analytics Applications with Oracle Data Miner “If you have an Oracle Database and want to leverage that data to discover new insights, make predictions, and generate actionable insights, this book is a must read for you! In Predictive Analytics Using Oracle Data Miner: Develop & Use Oracle Data Mining Models in Oracle Data Miner, SQL & PL/SQL, Brendan Tierney, Oracle ACE Director and data mining expert, guides you through the basic concepts of data mining and offers step-by-step instructions for solving data-driven problems using SQL Developer’s Oracle Data Mining extension. Brendan takes it full circle by showing you how to deploy advanced analytical methodologies and predictive models immediately into enterprise-wide production environments using the in-database SQL and PL/SQL functionality. Definitely a must read for any Oracle data professional!” --Charlie Berger, Senior Director Product Management, Oracle Data Mining and Advanced Analytics Perform in-database data mining to unlock hidden insights in data. Written by an Oracle ACE Director, Predictive Analytics Using Oracle Data Miner shows you how to use this powerful tool to create and deploy advanced data mining models. Covering topics for the data scientist, Oracle developer, and Oracle database administrator, this Oracle Press guide shows you how to get started with Oracle Data Miner and build Oracle Data Miner models using SQL and PL/SQL packages. You'll get best practices for integrating your Oracle Data Miner models into applications to automate the discovery and distribution of business intelligence predictions throughout the enterprise. Install and configure Oracle Data Miner for Oracle Database 11g Release 11.2 and Oracle Database 12c Create Oracle Data Miner projects and workflows Prepare data for data mining Develop data mining models using association rule analysis, classification, clustering, regression, and anomaly detection Use data dictionary views and prepare your data using in-database transformations Build and use data mining models using SQL and PL/SQL packages Migrate your Oracle Data Miner models, integrate them into dashboards and applications, and run them in parallel Build transient data mining models with the Predictive Queries feature in Oracle Database 12c

Data Science Using Oracle Data Miner and Oracle R Enterprise

Author : Sibanjan Das
Publisher : Apress
ISBN 13 : 1484226143
Total Pages : 300 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Data Science Using Oracle Data Miner and Oracle R Enterprise by : Sibanjan Das

Download or read book Data Science Using Oracle Data Miner and Oracle R Enterprise written by Sibanjan Das and published by Apress. This book was released on 2016-12-22 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automate the predictive analytics process using Oracle Data Miner and Oracle R Enterprise. This book talks about how both these technologies can provide a framework for in-database predictive analytics. You'll see a unified architecture and embedded workflow to automate various analytics steps such as data preprocessing, model creation, and storing final model output to tables. You'll take a deep dive into various statistical models commonly used in businesses and how they can be automated for predictive analytics using various SQL, PLSQL, ORE, ODM, and native R packages. You'll get to know various options available in the ODM workflow for driving automation. Also, you'll get an understanding of various ways to integrate ODM packages, ORE, and native R packages using PLSQL for automating the processes. Data Science Automation Using Oracle Data Miner and Oracle R Enterprise starts with an introduction to business analytics, covering why automation is necessary and the level of complexity in automation at each analytic stage. Then, it focuses on how predictive analytics can be automated by using Oracle Data Miner and Oracle R Enterprise. Also, it explains when and why ODM and ORE are to be used together for automation. The subsequent chapters detail various statistical processes used for predictive analytics such as calculating attribute importance, clustering methods, regression analysis, classification techniques, ensemble models, and neural networks. In these chapters you will also get to understand the automation processes for each of these statistical processes using ODM and ORE along with their application in a real-life business use case. What you'll learn Discover the functionality of Oracle Data Miner and Oracle R Enterprise Gain methods to perform in-database predictive analytics Use Oracle's SQL and PLSQL APIs for building analytical solutions Acquire knowledge of common and widely-used business statistical analysis techniques Who this book is for IT executives, BI architects, Oracle architects and developers, R users and statisticians.

Predictive Analytics and Data Mining

Author : Vijay Kotu
Publisher : Morgan Kaufmann
ISBN 13 : 0128016507
Total Pages : 447 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Predictive Analytics and Data Mining by : Vijay Kotu

Download or read book Predictive Analytics and Data Mining written by Vijay Kotu and published by Morgan Kaufmann. This book was released on 2014-11-27 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: Put Predictive Analytics into ActionLearn the basics of Predictive Analysis and Data Mining through an easy to understand conceptual framework and immediately practice the concepts learned using the open source RapidMiner tool. Whether you are brand new to Data Mining or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. Data Mining has become an essential tool for any enterprise that collects, stores and processes data as part of its operations. This book is ideal for business users, data analysts, business analysts, business intelligence and data warehousing professionals and for anyone who wants to learn Data Mining.You’ll be able to:1. Gain the necessary knowledge of different data mining techniques, so that you can select the right technique for a given data problem and create a general purpose analytics process.2. Get up and running fast with more than two dozen commonly used powerful algorithms for predictive analytics using practical use cases.3. Implement a simple step-by-step process for predicting an outcome or discovering hidden relationships from the data using RapidMiner, an open source GUI based data mining tool Predictive analytics and Data Mining techniques covered: Exploratory Data Analysis, Visualization, Decision trees, Rule induction, k-Nearest Neighbors, Naïve Bayesian, Artificial Neural Networks, Support Vector machines, Ensemble models, Bagging, Boosting, Random Forests, Linear regression, Logistic regression, Association analysis using Apriori and FP Growth, K-Means clustering, Density based clustering, Self Organizing Maps, Text Mining, Time series forecasting, Anomaly detection and Feature selection. Implementation files can be downloaded from the book companion site at www.LearnPredictiveAnalytics.com Demystifies data mining concepts with easy to understand language Shows how to get up and running fast with 20 commonly used powerful techniques for predictive analysis Explains the process of using open source RapidMiner tools Discusses a simple 5 step process for implementing algorithms that can be used for performing predictive analytics Includes practical use cases and examples

Oracle Data Mining

Author : Carolyn K. Hamm
Publisher : Rampant Techpress
ISBN 13 : 9780974448633
Total Pages : 253 pages
Book Rating : 4.4/5 (486 download)

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Book Synopsis Oracle Data Mining by : Carolyn K. Hamm

Download or read book Oracle Data Mining written by Carolyn K. Hamm and published by Rampant Techpress. This book was released on 2007 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides information on Oracle Data Mining, covering such topics as model building, classification models, support vector machines, clustering and cohorts, and predictive analytics.

Predictive Analytics 90 Success Secrets - 90 Most Asked Questions on Predictive Analytics - What You Need to Know

Author : Emily Moody
Publisher : Emereo Pty Limited
ISBN 13 : 9781488527708
Total Pages : 70 pages
Book Rating : 4.5/5 (277 download)

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Book Synopsis Predictive Analytics 90 Success Secrets - 90 Most Asked Questions on Predictive Analytics - What You Need to Know by : Emily Moody

Download or read book Predictive Analytics 90 Success Secrets - 90 Most Asked Questions on Predictive Analytics - What You Need to Know written by Emily Moody and published by Emereo Pty Limited. This book was released on 2014 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predictive systematic computational analysis of data or statistics surrounds a diversity of methods as of numbers, depicting, engine educating, and information mining that examine present and past details to create forecasts regarding time to come, either else unidentified, happenings. There has never been a Predictive Analytics Guide like this. It contains 90 answers, much more than you can imagine; comprehensive answers and extensive details and references, with insights that have never before been offered in print. Get the information you need--fast! This all-embracing guide offers a thorough view of key knowledge and detailed insight. This Guide introduces what you want to know about Predictive Analytics. A quick look inside of some of the subjects covered: Predictive analytics Applications, Predictive analytics Fraud detection, Predictive analytics Definition, Predictive analytics Clinical decision support systems, Predictive analytics Customer retention, Text analytics, Predictive analytics Cross-sell, Predictive analytics Tools, JMP (statistical software) History, Business intelligence, Text mining, Fraud - Detection, Apache Hadoop Commercially supported Hadoop-related products, Business process management BPM suites, Intelligent text analysis - Commercial, Google privacy - Ties to the CIA and NSA, Data mining, Data analysis, Oracle Data Mining - References and further reading, Oracle Data Mining - Graphical user interface: Oracle Data Miner, Predictive analytics Further reading, Business intelligence Applications in an enterprise, Data mining Research and evolution, Predictive analytics Portfolio, product or economy-level prediction, Predictive analytics Regression techniques, Predictive analytics Machine learning techniques, Predictive analytics Analytical Techniques, Analytics - Challenges, Oracle Data Mining - Overview, SAS (software), RapidMiner, R (programming language), and much more...

Oracle R Enterprise: Harnessing the Power of R in Oracle Database

Author : Brendan Tierney
Publisher : McGraw Hill Professional
ISBN 13 : 1259585646
Total Pages : 273 pages
Book Rating : 4.2/5 (595 download)

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Book Synopsis Oracle R Enterprise: Harnessing the Power of R in Oracle Database by : Brendan Tierney

Download or read book Oracle R Enterprise: Harnessing the Power of R in Oracle Database written by Brendan Tierney and published by McGraw Hill Professional. This book was released on 2016-11-04 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the Big Data Capabilities of Oracle R Enterprise Effectively manage your enterprise’s big data and keep complex processes running smoothly using the hands-on information contained in this Oracle Press guide. Oracle R Enterprise: Harnessing the Power of R in Oracle Database shows, step-by-step, how to create and execute large-scale predictive analytics and maintain superior performance. Discover how to explore and prepare your data, accurately model business processes, generate sophisticated graphics, and write and deploy powerful scripts. You will also find out how to effectively incorporate Oracle R Enterprise features in APEX applications, OBIEE dashboards, and Apache Hadoop systems. Learn to: • Install, configure, and administer Oracle R Enterprise • Establish connections and move data to the database • Create Oracle R Enterprise packages and functions • Use the R language to work with data in Oracle Database • Build models using ODM, ORE, and other algorithms • Develop and deploy R scripts and use the R script repository • Execute embedded R scripts and employ ORE SQL API functions • Map and manipulate data using Oracle R Advanced Analytics for Hadoop • Use ORE in Oracle Data Miner, OBIEE, and other applications

RapidMiner

Author : Markus Hofmann
Publisher : CRC Press
ISBN 13 : 1482205505
Total Pages : 518 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis RapidMiner by : Markus Hofmann

Download or read book RapidMiner written by Markus Hofmann and published by CRC Press. This book was released on 2016-04-19 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: Powerful, Flexible Tools for a Data-Driven WorldAs the data deluge continues in today's world, the need to master data mining, predictive analytics, and business analytics has never been greater. These techniques and tools provide unprecedented insights into data, enabling better decision making and forecasting, and ultimately the solution of incre

Data Mining and Predictive Analytics

Author : Daniel T. Larose
Publisher : John Wiley & Sons
ISBN 13 : 1118868676
Total Pages : 827 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Data Mining and Predictive Analytics by : Daniel T. Larose

Download or read book Data Mining and Predictive Analytics written by Daniel T. Larose and published by John Wiley & Sons. This book was released on 2015-02-19 with total page 827 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. The authors apply a unified “white box” approach to data mining methods and models. This approach is designed to walk readers through the operations and nuances of the various methods, using small data sets, so readers can gain an insight into the inner workings of the method under review. Chapters provide readers with hands-on analysis problems, representing an opportunity for readers to apply their newly-acquired data mining expertise to solving real problems using large, real-world data sets. Data Mining and Predictive Analytics: Offers comprehensive coverage of association rules, clustering, neural networks, logistic regression, multivariate analysis, and R statistical programming language Features over 750 chapter exercises, allowing readers to assess their understanding of the new material Provides a detailed case study that brings together the lessons learned in the book Includes access to the companion website, www.dataminingconsultant, with exclusive password-protected instructor content Data Mining and Predictive Analytics will appeal to computer science and statistic students, as well as students in MBA programs, and chief executives.

Predictive Data Mining Models

Author : David L. Olson
Publisher :
ISBN 13 : 9789811396656
Total Pages : 125 pages
Book Rating : 4.3/5 (966 download)

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Book Synopsis Predictive Data Mining Models by : David L. Olson

Download or read book Predictive Data Mining Models written by David L. Olson and published by . This book was released on 2020 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of predictive methods demonstrated by open source software modeling with Rattle (R) and WEKA. Knowledge management involves application of human knowledge (epistemology) with the technological advances of our current society (computer systems) and big data, both in terms of collecting data and in analyzing it. We see three types of analytic tools. Descriptive analytics focus on reports of what has happened. Predictive analytics extend statistical and/or artificial intelligence to provide forecasting capability. It also includes classification modeling. Prescriptive analytics applies quantitative models to optimize systems, or at least to identify improved systems. Data mining includes descriptive and predictive modeling. Operations research includes all three. This book focuses on prescriptive analytics. The book seeks to provide simple explanations and demonstration of some descriptive tools. This second edition provides more examples of big data impact, updates the content on visualization, clarifies some points, and expands coverage of association rules and cluster analysis. Chapter 1 gives an overview in the context of knowledge management. Chapter 2 discusses some basic data types. Chapter 3 covers fundamentals time series modeling tools, and Chapter 4 provides demonstration of multiple regression modeling. Chapter 5 demonstrates regression tree modeling. Chapter 6 presents autoregressive/integrated/moving average models, as well as GARCH models. Chapter 7 covers the set of data mining tools used in classification, to include special variants support vector machines, random forests, and boosting. Models are demonstrated using business related data. The style of the book is intended to be descriptive, seeking to explain how methods work, with some citations, but without deep scholarly reference. The data sets and software are all selected for widespread availability and access by any reader with computer links.

Predictive Analytics for Marketers

Author : Barry Leventhal
Publisher : Kogan Page Publishers
ISBN 13 : 0749479949
Total Pages : 273 pages
Book Rating : 4.7/5 (494 download)

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Book Synopsis Predictive Analytics for Marketers by : Barry Leventhal

Download or read book Predictive Analytics for Marketers written by Barry Leventhal and published by Kogan Page Publishers. This book was released on 2018-02-03 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predictive analytics has revolutionized marketing practice. It involves using many techniques from data mining, statistics, modelling, machine learning and artificial intelligence, to analyse current data and make predictions about unknown future events. In business terms, this enables companies to forecast consumer behaviour and much more. Predictive Analytics for Marketers will guide marketing professionals on how to apply predictive analytical tools to streamline business practices. Including comprehensive coverage of an array of predictive analytic tools and techniques, this book enables readers to harness patterns from past data, to make accurate and useful predictions that can be converted to business success. Truly global in its approach, the insights these techniques offer can be used to manage resources more effectively across all industries and sectors. Written in clear, non-technical language, Predictive Analytics for Marketers contains case studies from the author's more than 25 years of experience and articles from guest contributors, demonstrating how predictive analytics can be used to successfully achieve a range of business purposes.

Research Anthology on Agile Software, Software Development, and Testing

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1668437031
Total Pages : 2164 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Research Anthology on Agile Software, Software Development, and Testing by : Management Association, Information Resources

Download or read book Research Anthology on Agile Software, Software Development, and Testing written by Management Association, Information Resources and published by IGI Global. This book was released on 2021-11-26 with total page 2164 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software development continues to be an ever-evolving field as organizations require new and innovative programs that can be implemented to make processes more efficient, productive, and cost-effective. Agile practices particularly have shown great benefits for improving the effectiveness of software development and its maintenance due to their ability to adapt to change. It is integral to remain up to date with the most emerging tactics and techniques involved in the development of new and innovative software. The Research Anthology on Agile Software, Software Development, and Testing is a comprehensive resource on the emerging trends of software development and testing. This text discusses the newest developments in agile software and its usage spanning multiple industries. Featuring a collection of insights from diverse authors, this research anthology offers international perspectives on agile software. Covering topics such as global software engineering, knowledge management, and product development, this comprehensive resource is valuable to software developers, software engineers, computer engineers, IT directors, students, managers, faculty, researchers, and academicians.

Java Data Mining: Strategy, Standard, and Practice

Author : Mark F. Hornick
Publisher : Elsevier
ISBN 13 : 0080495915
Total Pages : 545 pages
Book Rating : 4.0/5 (84 download)

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Book Synopsis Java Data Mining: Strategy, Standard, and Practice by : Mark F. Hornick

Download or read book Java Data Mining: Strategy, Standard, and Practice written by Mark F. Hornick and published by Elsevier. This book was released on 2010-07-26 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whether you are a software developer, systems architect, data analyst, or business analyst, if you want to take advantage of data mining in the development of advanced analytic applications, Java Data Mining, JDM, the new standard now implemented in core DBMS and data mining/analysis software, is a key solution component. This book is the essential guide to the usage of the JDM standard interface, written by contributors to the JDM standard. Data mining introduction - an overview of data mining and the problems it can address across industries; JDM's place in strategic solutions to data mining-related problems JDM essentials - concepts, design approach and design issues, with detailed code examples in Java; a Web Services interface to enable JDM functionality in an SOA environment; and illustration of JDM XML Schema for JDM objects JDM in practice - the use of JDM from vendor implementations and approaches to customer applications, integration, and usage; impact of data mining on IT infrastructure; a how-to guide for building applications that use the JDM API Free, downloadable KJDM source code referenced in the book available here

Proceedings of the XVI International symposium Symorg 2018

Author : Nevenka Žarkić-Joksimović
Publisher : University of Belgrade, Faculty of Organizational Sciences
ISBN 13 : 8676803617
Total Pages : 1161 pages
Book Rating : 4.6/5 (768 download)

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Book Synopsis Proceedings of the XVI International symposium Symorg 2018 by : Nevenka Žarkić-Joksimović

Download or read book Proceedings of the XVI International symposium Symorg 2018 written by Nevenka Žarkić-Joksimović and published by University of Belgrade, Faculty of Organizational Sciences . This book was released on 2018-06-12 with total page 1161 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook of Research on Emerging Trends and Technologies in Librarianship

Author : Ekoja, Innocent Isa
Publisher : IGI Global
ISBN 13 : 1799890961
Total Pages : 430 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Emerging Trends and Technologies in Librarianship by : Ekoja, Innocent Isa

Download or read book Handbook of Research on Emerging Trends and Technologies in Librarianship written by Ekoja, Innocent Isa and published by IGI Global. This book was released on 2022-01-07 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: A fundamental dynamism of the library is its continuous adoption of trending technologies and innovations for enhanced service delivery. To meet the needs of library users in the Fourth Industrial Revolution, an era characterized by digital revolution, knowledge economy, globalization, and information explosion, libraries have embraced innovations and novel technologies such as artificial intelligence, blockchain, social mediation tools, and the internet of things (IoT). The Handbook of Research on Emerging Trends and Technologies in Librarianship documents current research findings and theoretical studies focused on innovations and technologies used in contemporary libraries. This book provides relevant models, theoretical frameworks, the latest empirical research findings, and sound theoretical research regarding the use of novel technologies in libraries. Covering topics such as digital competitive advantage, smart governance, and social media, this book is an excellent resource for librarians, archivists, library associations and committees, researchers, academicians, students, faculty of higher education, computer scientists, programmers, and professionals.

Oracle Data Warehousing and Business Intelligence Solutions

Author : Robert Stackowiak
Publisher : John Wiley & Sons
ISBN 13 : 047012718X
Total Pages : 410 pages
Book Rating : 4.4/5 (71 download)

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Book Synopsis Oracle Data Warehousing and Business Intelligence Solutions by : Robert Stackowiak

Download or read book Oracle Data Warehousing and Business Intelligence Solutions written by Robert Stackowiak and published by John Wiley & Sons. This book was released on 2007-01-06 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Up-to-date, comprehensive coverage of the Oracle database and business intelligence tools Written by a team of Oracle insiders, this authoritative book provides you with the most current coverage of the Oracle data warehousing platform as well as the full suite of business intelligence tools. You'll learn how to leverage Oracle features and how those features can be used to provide solutions to a variety of needs and demands. Plus, you'll get valuable tips and insight based on the authors' real-world experiences and their own implementations. Avoid many common pitfalls while learning best practices for: Leveraging Oracle technologies to design, build, and manage data warehouses Integrating specific database and business intelligence solutions from other vendors Using the new suite of Oracle business intelligence tools to analyze data for marketing, sales, and more Handling typical data warehouse performance challenges Uncovering initiatives by your business community, security business sponsorship, project staffing, and managing risk

Handbook of Research on Engineering Innovations and Technology Management in Organizations

Author : Gaur, Loveleen
Publisher : IGI Global
ISBN 13 : 1799827739
Total Pages : 459 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Engineering Innovations and Technology Management in Organizations by : Gaur, Loveleen

Download or read book Handbook of Research on Engineering Innovations and Technology Management in Organizations written by Gaur, Loveleen and published by IGI Global. This book was released on 2020-04-17 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: As technology weaves itself more tightly into everyday life, socio-economic development has become intricately tied to these ever-evolving innovations. Technology management is now an integral element of sound business practices, and this revolution has opened up many opportunities for global communication. However, such swift change warrants greater research that can foresee and possibly prevent future complications within and between organizations. The Handbook of Research on Engineering Innovations and Technology Management in Organizations is a collection of innovative research that explores global concerns in the applications of technology to business and the explosive growth that resulted. Highlighting a wide range of topics such as cyber security, legal practice, and artificial intelligence, this book is ideally designed for engineers, manufacturers, technology managers, technology developers, IT specialists, productivity consultants, executives, lawyers, programmers, managers, policymakers, academicians, researchers, and students.

Data Mining With Oracle 12c / 11g

Author : Scientific Books
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781523339556
Total Pages : 210 pages
Book Rating : 4.3/5 (395 download)

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Book Synopsis Data Mining With Oracle 12c / 11g by : Scientific Books

Download or read book Data Mining With Oracle 12c / 11g written by Scientific Books and published by Createspace Independent Publishing Platform. This book was released on 2016-01-11 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today data mining is used in different fields of science. Applications include financial and banking, market analysis and trade, and private health insurance, education, industrial processes, in medicine, biology and bioengineering, telecommunications and many other areas. This book develops the most common techniques used in data mining, such as predictive models, cluster analysis, association rules, neural networks, decision trees and others. The content is addressed in a simple and easy to understand through one of the most common software solutions from existing in the market, in particular, ORACLE.