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E-raamat: Oracle R Enterprise: Harnessing the Power of R in Oracle Database

  • Formaat: PDF+DRM
  • Ilmumisaeg: 04-Nov-2016
  • Kirjastus: McGraw-Hill Education
  • Keel: eng
  • ISBN-13: 9781259585647
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Oracle R Enterprise: Harnessing the Power of R in Oracle DatabaseSuurem pilt
  • Formaat: PDF+DRM
  • Ilmumisaeg: 04-Nov-2016
  • Kirjastus: McGraw-Hill Education
  • Keel: eng
  • ISBN-13: 9781259585647
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Master the Big Data Capabilities of Oracle R Enterprise

Effectively manage your enterprises 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
Acknowledgments xi
Introduction xii
1 Introduction to Oracle R Enterprise
1(16)
Aim of This Book
4(1)
Oracle Advanced Analytics Option
5(2)
Oracle R Enterprise
7(2)
Deploying R Is Easy with Oracle R Enterprise
9(4)
The Advantages of Using Oracle R Enterprise
10(3)
R Technologies from Oracle
13(1)
How Customers Are Using Oracle R Enterprise and Oracle Advanced Analytics
14(2)
Summary
16(1)
2 Installing Oracle R Enterprise
17(22)
Installation Prerequisites
18(1)
Setting Up Your Oracle Database
19(1)
Installing Oracle R Enterprise
20(12)
Oracle R Enterprise Packages
21(1)
Pre-installation Requirements
21(2)
Oracle Database Server Installation
23(5)
Client Installation
28(4)
Verifying the Installation of ORE
32(1)
Installing RStudio
33(1)
Using Oracle Pre-built Appliances
34(3)
Oracle Database Developer Pre-built Appliance
35(1)
Oracle OBIEE Sample App Pre-built Appliance
35(2)
Oracle Big Data Lite Pre-built Appliance
37(1)
Summary
37(2)
3 Getting Started with Oracle R Enterprise
39(20)
Creating and Managing ORE Connections to the Database
40(5)
Creating an ORE Connection Using ore. connect
40(2)
Syncing Data Using ore. sync
42(2)
Adding Objects to the Search Space Using ore. attach
44(1)
Running a SQL Command
45(1)
Working with Data in the Oracle Database
46(4)
Storing Data in the Database
50(2)
Using ore. create to Create Tables
50(1)
Using ore. drop to Remove a Table
51(1)
Example Combining ore. create and ore. drop
51(1)
Storing ORE Objects in the In-database R Datastore
52(6)
Disconnecting from the Database
58(1)
Summary
58(1)
4 The Transparency Layer
59(10)
Overview of the Transparency Layer
60(3)
Looking Behind the Scenes of the ORE Transparency Layer
63(4)
Summary
67(2)
5 The Oracle R Enterprise Packages
69(16)
The Oracle R Enterprise Package
70(2)
Exploring the ORE Package Functions and Package Version
72(2)
ORE Settings and Options
74(4)
Getting Help for ORE
78(1)
ORE Demo Script
79(4)
Summary
83(2)
6 Exploring Your Data
85(20)
Exploratory Data Analysis (EDA)
86(6)
Data Sampling
92(6)
Data Aggregation
98(2)
Data Transformations
100(3)
Derived Attributes
101(1)
Binning Attributes
102(1)
Combining Data
103(1)
Sorting Your Data
103(1)
Summary
104(1)
7 Building Models Using ODM Algorithms
105(24)
Oracle Data Mining
106(3)
The ODM Algorithms Available in ORE
107(1)
Automatic Data Preparation in Oracle Using the OREdm Package
107(2)
Building Models and Scoring Data Using the OREdm Package
109(17)
Attribute Importance
110(1)
Association Rule Analysis
111(3)
Decision Tree
114(3)
Support Vector Machine
117(4)
Naive Bayes
121(1)
Generalized Linear Model
122(2)
Clustering
124(2)
Saving Your Data Mining Models
126(1)
Summary
127(2)
8 Building Models Using ORE and Other Algorithms
129(18)
What Algorithms Are Available?
130(1)
Preparing Your Data to Build a Model
131(2)
Sample Data Sets for This
Chapter
131(2)
Building Models Using ORE Algorithms
133(7)
Generalized Linear Model
133(2)
Linear and Stepwise Regression Models
135(2)
Neural Networks
137(1)
Random Forests
138(2)
Building Models Using R Packages and Algorithms
140(2)
Using ore. predict for Optimizing In-database Scoring
142(3)
Summary
145(2)
9 Creating R Scripts in the User-defined R Script Repository
147(12)
Using the R Script Repository
148(1)
Creating and Dropping R Scripts
149(2)
Granting and Revoking Privileges to User-defined R Scripts
151(1)
Managing the R Script Repository
152(1)
Creating Scripts Using the SQL API
153(5)
Creating an R Script
154(2)
Dropping a Script
156(1)
Granting and Revoking Access
156(1)
Data Dictionary Views for User-defined R Scripts
157(1)
Summary
158(1)
10 Embedded R Execution
159(26)
Embedded R Execution Using the R Interface
160(10)
How to Use the ore.doEval Function
161(2)
How to Use the ore.tableApply Function
163(2)
How to Use the ore.groupApply Function
165(1)
How to Use the ore.rowApply Function
166(2)
How to Use the ore.indexApply Function
168(1)
Parallel Execution of Embedded R Functions
169(1)
Embedded R Execution Using the SQL Interface
170(12)
How to Use the rqEval SQL Function
170(3)
How to Use the rqTableEval SQL Function
173(5)
How to Use the "rqGroupEval" SQL Function
178(3)
How to Use the rqRowEval SQL Function
181(1)
Summary
182(3)
11 Oracle R Advanced Analytics for Hadoop
185(14)
Connecting to Apache Hive and Processing Data
188(5)
Managing Map-Reduce Jobs Using ORCH
193(3)
Using Spark with ORAAH
196(1)
Summary
197(2)
12 Using ORE with Oracle Data Mining
199(14)
Oracle Data Mining
200(6)
Oracle Data Miner
206(1)
Including R Scripts Using the SQL Node
207(2)
Using the R Node
209(3)
Summary
212(1)
13 Using ORE in APEX and OBIEE
213(16)
Oracle APEX
214(7)
Including an ORE Script in Your APEX Application
216(2)
Adding an R Graph to Your APEX Application
218(3)
Oracle Business Intelligence
221(7)
Setting Up OBIEE to Use ORE
223(2)
Using an R Script in the OBIEE RPD
225(1)
Presenting Results from an R Script on Your Dashboard
226(2)
Summary
228(1)
14 ORE for the Oracle DBA
229(14)
Creating a New ORE Schema in the Database
230(1)
Privilege Required to Run Embedded R
231(1)
Installing a New R Package into Oracle R Enterprise
231(4)
Installing a New R Package on the Database Server
232(2)
Installing a New Package on the Client Machine
234(1)
ORE Global Variables and Options
235(2)
Using the ore. parallel Feature
237(1)
Uninstalling Oracle R Enterprise
238(3)
Uninstalling Oracle R Enterprise from the Oracle Database Server
239(1)
Uninstalling Oracle R Enterprise from the Client
240(1)
Summary
241(2)
Index 243
Brendan Tierney, Oracle ACE Director, is an independent consultant and lectures on Data Mining and Advanced Databases in the Dublin Institute of Technology in Ireland. He is an Oracle ACE Director and has extensive experience working in the areas of Data Mining, Data Warehousing, Data Architecture and Database Design. Brendan has worked on projects in Ireland, UK, Belgium and USA and has been working with the Oracle database and tools since 1992. Brendan is the editor of the UKOUG Oracle Scene magazine and deputy chair of the OUG Ireland BI SIG. Brendan is a regular speaker at conferences across Europe and the USA, including Oracle Open World. In addition to his presentations Brendan has written technical articles for OTN, Oracle Scene, IOUG SELECT Journal and ODTUG Technical Journal.  He is author of the Oracle Press book titled, Predictive Analytics using Oracle Data Miner.
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