Oracle Data Mining

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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.

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.

Oracle Data Mining A Complete Guide

Author : Gerardus Blokdyk
Publisher :
ISBN 13 : 9780655131571
Total Pages : 0 pages
Book Rating : 4.1/5 (315 download)

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Book Synopsis Oracle Data Mining A Complete Guide by : Gerardus Blokdyk

Download or read book Oracle Data Mining A Complete Guide written by Gerardus Blokdyk and published by . This book was released on with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Oracle Data Mining a Complete Guide

Author : Gerardus Blokdyk
Publisher : 5starcooks
ISBN 13 : 9780655181576
Total Pages : 126 pages
Book Rating : 4.1/5 (815 download)

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Book Synopsis Oracle Data Mining a Complete Guide by : Gerardus Blokdyk

Download or read book Oracle Data Mining a Complete Guide written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2018-04-16 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: How will the Oracle Data Mining team and the organization measure complete success of Oracle Data Mining? How does the organization define, manage, and improve its Oracle Data Mining processes? How do we maintain Oracle Data Mining's Integrity? How will we insure seamless interoperability of Oracle Data Mining moving forward? What is our Oracle Data Mining Strategy? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Oracle Data Mining investments work better. This Oracle Data Mining All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Oracle Data Mining Self-Assessment. Featuring 702 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Oracle Data Mining improvements can be made. In using the questions you will be better able to: - diagnose Oracle Data Mining projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Oracle Data Mining and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Oracle Data Mining Scorecard, you will develop a clear picture of which Oracle Data Mining areas need attention. Your purchase includes access details to the Oracle Data Mining self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.

Oracle Data Mining

Author : Gerardus Blokdyk
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781718872417
Total Pages : 138 pages
Book Rating : 4.8/5 (724 download)

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Book Synopsis Oracle Data Mining by : Gerardus Blokdyk

Download or read book Oracle Data Mining written by Gerardus Blokdyk and published by Createspace Independent Publishing Platform. This book was released on 2018-05-12 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are improvement team members fully trained on Oracle Data Mining? What are internal and external Oracle Data Mining relations? Is there a critical path to deliver Oracle Data Mining results? What potential environmental factors impact the Oracle Data Mining effort? How does the Oracle Data Mining manager ensure against scope creep? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Oracle Data Mining investments work better. This Oracle Data Mining All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Oracle Data Mining Self-Assessment. Featuring new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Oracle Data Mining improvements can be made. In using the questions you will be better able to: - diagnose Oracle Data Mining projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Oracle Data Mining and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Oracle Data Mining Scorecard, you will develop a clear picture of which Oracle Data Mining areas need attention. Your purchase includes access details to the Oracle Data Mining self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.

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

Information-Statistical Data Mining

Author : Bon K. Sy
Publisher : Springer Science & Business Media
ISBN 13 : 1441990011
Total Pages : 301 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Information-Statistical Data Mining by : Bon K. Sy

Download or read book Information-Statistical Data Mining written by Bon K. Sy and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information-Statistical Data Mining: Warehouse Integration with Examples of Oracle Basics is written to introduce basic concepts, advanced research techniques, and practical solutions of data warehousing and data mining for hosting large data sets and EDA. This book is unique because it is one of the few in the forefront that attempts to bridge statistics and information theory through a concept of patterns. Information-Statistical Data Mining: Warehouse Integration with Examples of Oracle Basics is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and engineering.

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

Oracle Data Mining and Search

Author : Ron Hardman
Publisher : McGraw-Hill/Osborne Media
ISBN 13 : 9780072263909
Total Pages : 550 pages
Book Rating : 4.2/5 (639 download)

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Book Synopsis Oracle Data Mining and Search by : Ron Hardman

Download or read book Oracle Data Mining and Search written by Ron Hardman and published by McGraw-Hill/Osborne Media. This book was released on 2008-03 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Oracle Big Data Handbook

Author : Tom Plunkett
Publisher : McGraw Hill Professional
ISBN 13 : 0071827269
Total Pages : 467 pages
Book Rating : 4.0/5 (718 download)

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Book Synopsis Oracle Big Data Handbook by : Tom Plunkett

Download or read book Oracle Big Data Handbook written by Tom Plunkett and published by McGraw Hill Professional. This book was released on 2013-09-25 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Cowritten by members of Oracle's big data team, [this book] provides complete coverage of Oracle's comprehensive, integrated set of products for acquiring, organizing, analyzing, and leveraging unstructured data. The book discusses the strategies and technologies essential for a successful big data implementation, including Apache Hadoop, Oracle Big Data Appliance, Oracle Big Data Connectors, Oracle NoSQL Database, Oracle Endeca, Oracle Advanced Analytics, and Oracle's open source R offerings"--Page 4 of cover.

Oracle Data Mining and the Implementation of Support Vector Machine

Author : Cupet Victoria
Publisher : LAP Lambert Academic Publishing
ISBN 13 : 9783659716973
Total Pages : 88 pages
Book Rating : 4.7/5 (169 download)

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Book Synopsis Oracle Data Mining and the Implementation of Support Vector Machine by : Cupet Victoria

Download or read book Oracle Data Mining and the Implementation of Support Vector Machine written by Cupet Victoria and published by LAP Lambert Academic Publishing. This book was released on 2015-06-02 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contemporary commercial databases are putting an increased accentuation on analytic abilities. The data mining technology is very important when we are referring to large volumes of data for analysis. Regarding novel data if we use modern data mining techniques we may improve their accuracy and generalization. But as we all know attaining results of good quality frequently demands high level of proficiency and user expertise. Support Vector Machines is a wonderful and potent state-of-the-art data mining algorithm and can express problems not compliant to traditional statistical analysis. Anywise, this kind of algorithm stays limited on the strength of methodological complexities, scalability challenges, and scarcity of production quality SVM implementations. The paper hereby portrays Oracle's implementation of SVM where the primary topic lies on ease of use and scalability whilst maintaining high performance accuracy. Support Vector Machines algorithm is entirely integrated into the Oracle database framework and so it can be easily leveraged in a multifariousness of deployment scenarios.

Oracle Data Warehouse Tuning for 10g

Author : Gavin JT Powell
Publisher : Elsevier
ISBN 13 : 008045917X
Total Pages : 499 pages
Book Rating : 4.0/5 (84 download)

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Book Synopsis Oracle Data Warehouse Tuning for 10g by : Gavin JT Powell

Download or read book Oracle Data Warehouse Tuning for 10g written by Gavin JT Powell and published by Elsevier. This book was released on 2011-04-08 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book should satisfy those who want a different perspective than the official Oracle documentation. It will cover all important aspects of a data warehouse while giving the necessary examples to make the reading a lively experience. - Tim Donar, Author and Systems Architect for Enterprise Data WarehousesTuning a data warehouse database focuses on large transactions, mostly requiring what is known as throughput. Throughput is the passing of large amounts of information through a server, network and Internet environment, backwards and forwards, constantly! The ultimate objective of a data warehouse is the production of meaningful and useful reporting, from historical and archived data. The trick is to make the reports print within an acceptable time frame.A data model contains tables and relationships between tables. Tuning a data model involves Normalization and Denormalization. Different approaches are required depending on the application, such as OLTP or a Data Warehouse. Inappropriate database design can make SQL code impossible to tune. Poor data modeling can have a most profound effect on database performance since all SQL code is constructed from the data model.* Takes users beyond basics to critical issues in running most efficient data warehouse applications* Illustrates how to keep data going in and out in the most productive way possible* Focus is placed on Data Warehouse performance tuning

Oracle 10g Data Warehousing

Author : Lilian Hobbs
Publisher : Elsevier
ISBN 13 : 008051328X
Total Pages : 867 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Oracle 10g Data Warehousing by : Lilian Hobbs

Download or read book Oracle 10g Data Warehousing written by Lilian Hobbs and published by Elsevier. This book was released on 2011-04-18 with total page 867 pages. Available in PDF, EPUB and Kindle. Book excerpt: Oracle 10g Data Warehousing is a guide to using the Data Warehouse features in the latest version of Oracle —Oracle Database 10g. Written by people on the Oracle development team that designed and implemented the code and by people with industry experience implementing warehouses using Oracle technology, this thoroughly updated and extended edition provides an insider's view of how the Oracle Database 10g software is best used for your application.It provides a detailed look at the new features of Oracle Database 10g and other Oracle products and how these are used in the data warehouse. This book will show you how to deploy the Oracle database and correctly use the new Oracle Database 10g features for your data warehouse. It contains walkthroughs and examples on how to use tools such as Oracle Discoverer and Reports to query the warehouse and generate reports that can be deployed over the web and gain better insight into your business.This how-to guide provides step by step instructions including screen captures to make it easier to design, build and optimize performance of the data warehouse or data mart. It is a 'must have' reference for database developers, administrators and IT professionals who want to get to work now with all of the newest features of Oracle Database 10g.It provides a detailed look at the new features of Oracle Database 10g and other Oracle products and how these are used in the data warehouse - How to use the Summary Management features, including Materialized Views and query rewrite, to best effect to radically improve query performance - How to deploy business intelligence to the Web to satisfy today's changing and demanding business requirements - Using Oracle OLAP and Data Mining options - How to understand the warehouse hardware environment and how it is used by new features in the database including how to implement a high availability warehouse environment - Using the new management infrastructure in Oracle Database 10g and how this helps you to manage your warehouse environment

Data Mining Using Oracle Tools

Author : Divya Balasubramanian
Publisher :
ISBN 13 :
Total Pages : 103 pages
Book Rating : 4.:/5 (489 download)

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Book Synopsis Data Mining Using Oracle Tools by : Divya Balasubramanian

Download or read book Data Mining Using Oracle Tools written by Divya Balasubramanian and published by . This book was released on 1999 with total page 103 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Data Mining and Knowledge Discovery Handbook

Author : Oded Maimon
Publisher : Springer Science & Business Media
ISBN 13 : 038725465X
Total Pages : 1378 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Data Mining and Knowledge Discovery Handbook by : Oded Maimon

Download or read book Data Mining and Knowledge Discovery Handbook written by Oded Maimon and published by Springer Science & Business Media. This book was released on 2006-05-28 with total page 1378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This book first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. Data Mining and Knowledge Discovery Handbook is designed for research scientists and graduate-level students in computer science and engineering. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.

Oracle Database Foundations

Author : Bob Bryla
Publisher : John Wiley & Sons
ISBN 13 : 078215123X
Total Pages : 365 pages
Book Rating : 4.7/5 (821 download)

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Book Synopsis Oracle Database Foundations by : Bob Bryla

Download or read book Oracle Database Foundations written by Bob Bryla and published by John Wiley & Sons. This book was released on 2006-07-14 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world of IT is always evolving, but in every area there are stable, core concepts that anyone just setting out needed to know last year, needs to know this year, and will still need to know next year. The purpose of the Foundations series is to identify these concepts and present them in a way that gives you the strongest possible starting point, no matter what your endeavor. Oracle Database Foundations provides essential knowledge about installing, configuring, maintaining, and querying Oracle 9i and 10g databases. What you learn here will benefit you in the short term, as you acquire and practice your skills, and in the long term, as you use them. Topics covered include: Basic relational database concepts Reporting and querying using SQL*Plus and iSQL*Plus Creating and maintaining a database Managing user access and security Understanding Oracle database functions Using multiple tables in a query Restricting, sorting, and grouping data Optimizing database performance Creating backups Troubleshooting database errors