Search results “Data mining oracle database” for the 2014
Oracle Data Miner/SQL Developer + R Integration via SQL Query node
This presentation and demo shows the integration capabilities of Oracle Data Miner/SQL Developer + Oracle R Enterprise integration.
Views: 9057 Charlie Berger
Oracle Data Miner 4.0/SQL Developer 4.0 Ext. - New Features
Oracle Data Miner 4.0 New Features demo and presentation
Views: 10588 Charlie Berger
How data mining works
In this video we describe data mining, in the context of knowledge discovery in databases. More videos on classification algorithms can be found at https://www.youtube.com/playlist?list=PLXMKI02h3_qjYoX-f8uKrcGqYmaqdAtq5 Please subscribe to my channel, and share this video with your peers!
Views: 204196 Thales Sehn Körting
Mining the FDA Adverse Event Reporting System with Oracle Empirica Signal
Learn how to identify safety and pharmacovigilance signals by data mining FAERS with Oracle's Empirica Signal. -- Ever since the European Union (EU) introduced new legislation that requires life sciences companies to proactively detect, prioritize, and evaluate safety signals, there has been an increased interest, not only from sponsors and CROs in the EU, but globally, in pharmacovigilance systems that can assist with the signal management process. Please join Perficient's Chris Wocosky, an expert in signal detection and management, for this video in which she discussed how your organization can use Empirica Signal, Oracle's state-of-the-art signal detection system to data mine the existing FDA Adverse Event Reporting System (FAERS) to determine safety signals. This video will help you to better understand how this solution can be used in daily pharmacovigilance activities. To view this webinar in its entirety, please visit: https://cc.readytalk.com/r/7ekwxbm7q33t&eom Stay on top of Life Sciences technologies by following us here: Twitter: http://www.twitter.com/Perficient_LS Facebook: http://www.facebook.com/Perficient LinkedIn: http://www.linkedin.com/company/165444 Google+: https://plus.google.com/+Perficient SlideShare: http://www.slideshare.net/PerficientInc
Views: 4511 Perficient, Inc.
Data Mining w Oracle
Webinarium prezentuje zagadnienia analizy danych z wykorzystaniem różnych metod drążenia / eksploracji danych. Omawiana jest tematyka odkrywania wiedzy, jej etapów oraz roli eksploracji danych w tym procesie.
Views: 664 Comarch Poland
(Theory 15) Data Mining
This is my fiftenth theory video of my weekly database tasks (oracle) I will now discuss about data mining. Happy watching :))
Oracle Database Advanced Security
Watch this video to learn out security in the Oracle database. Copyright © 2014 Oracle and/or its affiliates. Oracle® is a registered trademark of Oracle and/or its affiliates. All rights reserved. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the "Materials"). The Materials are provided "as is" without any warranty of any kind, either express or implied, including without limitation warranties of merchantability, fitness for a particular purpose, and non-infringement.
T15   Data Mining
Views: 1 Database Oracle
Oracle 12c Flashback Data Archiving: Building an Evolutionary Trail of Your Data
Learn how to take advantage of the new Oracle 12c data archiving features to manage historical data and provide a timeline of the data lifecycle. During this presentation, our Oracle expert will demonstrate how to use the in-database archiving capabilities to build a history of data changes. Presented by Arman Rawls, Senior Oracle Database Architect at Neovera.
Views: 1493 Neovera
Keynote: Oracle Database Directions for Big Data and Cloud - Oracle Days Tokyo 2014
Andrew Mendelsohn Executive Vice President Oracle Database Server Technologies Oracle Corporation
Views: 133 oraclejapanmktg
Connexion au référentiel - Data mining
Séance de TP - Master 2 SID , ENSET Mohammedia
Views: 71 Oussama Taoufik
Bab 15 Data Mining
Teori Database Lanjut Materi Data Mining By: Nico Alfiansyah Fahmi 2103121001
Basic DataMining Lesson01
Lesson 1: Preparing the Analysis Services Database (Basic Data Mining Tutorial) - Creating an Analysis Services Project (Basic Data Mining Tutorial) - Creating a Data Source (Basic Data Mining Tutorial) - Creating a Data Source View (Basic Data Mining Tutorial)
Views: 445 Phuc Toan
Hadoop Vs Traditional Database Systems | Hadoop Data Warehouse | Hadoop and ETL | Hadoop Data Mining
http://www.edureka.co/hadoop Email Us: [email protected],phone : +91-8880862004 This short video explains the problems with existing database systems and Data Warehouse solutions, and how Hadoop based solutions solves these problems. Let's Get Going on our Hadoop Journey and Join our 'Big Data and Hadoop' course. - - - - - - - - - - - - - - How it Works? 1. This is a 10-Module Instructor led Online Course. 2. We have a 3-hour Live and Interactive Sessions every Sunday. 3. We have 4 hours of Practical Work involving Lab Assignments, Case Studies and Projects every week which can be done at your own pace. We can also provide you Remote Access to Our Hadoop Cluster for doing Practicals. 4. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 5. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Big Data and Hadoop training course is designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of concepts such as Hadoop Distributed File System, Setting up the Hadoop Cluster, MapReduce, Advance MapReduce, PIG, HIVE, HBase, Zookeeper, SQOOP, Hadoop 2.0 , YARN etc. will be covered in the course. - - - - - - - - - - - - - - Course Objectives After the completion of the Hadoop Course at Edureka, you should be able to: Master the concepts of Hadoop Distributed File System. Understand Cluster Setup and Installation. Understand MapReduce and Functional programming. Understand How Pig is tightly coupled with Map-Reduce. Learn how to use Hive, How you can load data into HIVE and query data from Hive. Implement HBase, MapReduce Integration, Advanced Usage and Advanced Indexing. Have a good understanding of ZooKeeper service and Sqoop, Hadoop 2.0, YARN, etc. Develop a working Hadoop Architecture. - - - - - - - - - - - - - - Who should go for this course? This course is designed for developers with some programming experience (preferably Java) who are looking forward to acquire a solid foundation of Hadoop Architecture. Existing knowledge of Hadoop is not required for this course. - - - - - - - - - - - - - - Why Learn Hadoop? BiG Data! A Worldwide Problem? According to Wikipedia, "Big data is collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications." In simpler terms, Big Data is a term given to large volumes of data that organizations store and process. However, It is becoming very difficult for companies to store, retrieve and process the ever-increasing data. If any company gets hold on managing its data well, nothing can stop it from becoming the next BIG success! The problem lies in the use of traditional systems to store enormous data. Though these systems were a success a few years ago, with increasing amount and complexity of data, these are soon becoming obsolete. The good news is - Hadoop, which is not less than a panacea for all those companies working with BIG DATA in a variety of applications and has become an integral part for storing, handling, evaluating and retrieving hundreds of terabytes, and even petabytes of data. - - - - - - - - - - - - - - Some of the top companies using Hadoop: The importance of Hadoop is evident from the fact that there are many global MNCs that are using Hadoop and consider it as an integral part of their functioning, such as companies like Yahoo and Facebook! On February 19, 2008, Yahoo! Inc. established the world's largest Hadoop production application. The Yahoo! Search Webmap is a Hadoop application that runs on over 10,000 core Linux cluster and generates data that is now widely used in every Yahoo! Web search query. Opportunities for Hadoopers! Opportunities for Hadoopers are infinite - from a Hadoop Developer, to a Hadoop Tester or a Hadoop Architect, and so on. If cracking and managing BIG Data is your passion in life, then think no more and Join Edureka's Hadoop Online course and carve a niche for yourself! Happy Hadooping! Please write back to us at [email protected] or call us at +91-8880862004 for more information. http://www.edureka.co/big-data-and-hadoop
Views: 14000 edureka!
Teori 15 - Data Mining
Dwi Puteri Hidta Yunia - 2103121028 D3 Teknik Informatika Politeknik Elektronika Negeri Surabaya
Orange for Oracle 6.0 Guide Chapter1. - Easily understand the data structure
ER-Viewer is a tool to assist analysis by drawing Entity-Relations Diagram (ERD) according to the User's Table, View, and MView reference relations. Diagrams are drawn using IE Notation by connecting to the Database and reversing the Users, or importing saved XML files. Description window is located on the bottom for the user to view detailed information regarding objects.
Views: 264 WareValley
SQL tutorial 37: How to create NEW USER account using Create User statement in Oracle database
How to create new user accounts using Create User statement in oracle database. In This tutorial you will learn how to create a new user account. Brief explanation of Create user statement syntax and an example of creating a new user and You will learn How to grant Create session system privilege to your ----_Links_--- Blog :http://bit.ly/create_user_account Video Tut 4: http://youtu.be/wSqoXRlXDUU How to create database: http://youtu.be/enFFezPYhCg Copy Cloud referral link || Use this link to join copy cloud and get 20GB of free storage https://copy.com?r=kb4rc1 Amazon Wishlist: http://bit.ly/wishlist-amazon Contacts E-Mail [email protected] Twitter https://twitter.com/rebellionrider Instagram http://instagram.com/rebellionrider Facebook. https://www.facebook.com/imthebhardwaj Linkedin. http://in.linkedin.com/in/mannbhardwaj/ Thanks for liking, commenting, sharing and watching more of our videos This is Manish from RebellionRider.com
Views: 39438 Manish Sharma
Excel at Data Mining - Connecting to a SQL Server Data Source
In this video, Billy Decker of StatSlice Systems shows you how to connect to a SQL Server data source in less than 5 minutes with the Microsoft Excel data mining add-in*. In this example, we will connect to a SQL Server data source and create a Neural Network Model on the data. For the example, we will be using a tutorial spreadsheet that can be found on Codeplex at: https://dataminingaddins.codeplex.com/releases/view/87029 You will also need to attach the AdventureworksDW2012 data file to SQL Server which can be downloaded here: http://msftdbprodsamples.codeplex.com/releases/view/55330 *This tutorial assumes that you have already installed the data mining add-in for Excel and configured the add-in to be pointed at an instance of SQL Server to which you have access rights.
Views: 3236 StatSlice Systems
Oracle Training | SQL Developer Installation and Usage
Oracle online training. This video tutorial demonstrates how to install Oracle SQL Developer on a Windows machine. You'll learn not only installation, but also how to issues SQL queries directly through SQL Worksheet and the SQL Query Builder. Finally, you'll learn how to save a SQL query to be later executed. You can take full Oracle courses with Firebox training and get certified: https://www.fireboxtraining.com/oracle
Views: 1234 Firebox Training
Teori 15 - Data Mining
Tutorial Database Oracle SQL IT - PENS
1Z0-515 - Data Exam Warehousing 11g Test Essentials Questions
For Oracle 1Z0-515 Test Questions and Answers Please Visit: https://www.PassEasily.com/1Z0-515.htm Exam Section 1 – Overview of Data Test Warehousing Questions (Test Coverage 10%) Exam Section 2 – Parallelism Questions (Test Coverage 15%) Exam Section 3 – Partitioning Questions (Test Coverage 12%) Exam Section 4 – Result Test Cache Questions (Test Coverage 13%) Exam Section 5 – OLAP Questions (Test Coverage 20%) Exam Section 6 – Advanced Test Compression Questions (Test Coverage 30%) Exam Section 7 – Data integration Questions (Test Coverage 30%) Exam Section 8 – Data mining and analysis Questions (Test Coverage 30%) Exam Section 9 – Sizing Questions (Test Coverage 30%) Exam Section 10 – Exadata Questions (Test Coverage 30%) Exam Section 11 – Best Test practices for performance Questions (Test Coverage 30%) (Exam Time): 120 minutes (Number of Test Questions): 61 (1Z0-515 Passing Score): 78%. 1. Overview of Data Warehousing • Describe the test benefits of a data warehouse • Describe the technical questions characteristics of a data warehouse • Describe the Oracle Database structures used primarily by a data warehouse • Explain the use of materialized views • Implement Database Resource Manager to control resource usage • Identify and explain the questions benefits provided by standard Oracle Database 11g enhancements for a data warehouse 2. Parallelism • Explain how the Oracle test optimizer determines the degree of parallelism • Configure 1Z0-515 parallelism • Explain how parallelism and partitioning work together 3. Partitioning • Describe types of test partitioning • Describe the benefits of partitioning • Implement partition-wise exam joins 4. Result Cache • Describe how the SQL Result Cache operates • Identify the questions scenarios which benefit the most from Result Set Caching 5. OLAP • Explain how Oracle OLAP test delivers high performance • Describe how applications can access data stored in Oracle 1Z0-515 OLAP cubes. 6. Advanced Compression • Explain the benefits provided by 1Z0-515 Advanced Compression • Explain how Advanced Compression test operates • Describe how Advanced Compression exam interacts with other Oracle options and utilities 7. Data integration • Explain Oracle's overall approach to data integration • Describe the benefits provided by ODI • Differentiate the components of ODI • Create integration data flows with ODI • Ensure data quality with1Z0-515 OWB • Explain the concept and use of real-time data integration • Describe the architecture of Oracle's data integration exam solutions 8. Data mining and analysis • Describe the components of Oracle's 1Z0-515 Data Mining option • Describe the analytical functions provided by Oracle Data Mining • Identify use questions cases that can benefit from Oracle Data Mining • Identify which Oracle exam products use Oracle Data Mining 9. Sizing • Properly size all resources to be used in a data warehouse exam configuration
Views: 534 Easily Test Oracle
Auditing Oracle Database Vault in Mixed Mode
This video shows you how to audit the Database Vault activites in mixed mode, that is in Oracle Database 12c, how to query the DVSYS.DV$CONFIGURATION_AUDIT and DVSYS.DV$ENFORCEMENT_AUDIT audit views and how to purge the DVSYS.AUDIT_TRAIL$ records. Copyright © 2014 Oracle and/or its affiliates. Oracle® is a registered trademark of Oracle and/or its affiliates. All rights reserved. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the "Materials"). The Materials are provided "as is" without any warranty of any kind, either express or implied, including without limitation warranties of merchantability, fitness for a particular purpose, and non-infringement.
Database Assignment 2k14
Data Modeler and SQL Oracle Developer
Views: 88 Timothy Barnard
Import Data and Analyze with Python
Python programming language allows sophisticated data analysis and visualization. This tutorial is a basic step-by-step introduction on how to import a text file (CSV), perform simple data analysis, export the results as a text file, and generate a trend. See https://youtu.be/pQv6zMlYJ0A for updated video for Python 3.
Views: 192835 APMonitor.com
Recordings of "Database Access with KNIME" Webinar
New version coming soon. This is the recording of the "Database Access with KNIME" webinar held on March 12 2014 and presented by Thomas Gabriel. The video explores how to read data from a database, how to build a complex sql query without yet pulling the data into KNIME, how to loop over database tables, how to define credentials, and so on. Basically all you need to work with databases from inside a KNIME workflow.
Views: 13404 KNIMETV
Data Mining - Emotional Noise to Uncloud A/V Emotion Perceptual Eval. | Lectures On-Demand
Emily Mower - Provost, Computer Science and Engineering at the University of Michigan The 4th University of Michigan Data Mining Workshop Sponsored by Computer Science and Engineering, Yahoo!, and Office of Research Cyberinfrastructure (ORCI) Faculty, staff, and graduate students working in the fields of data mining, broadly construed. This workshop will present techniques: models and technologies for statistical data analysis, Web search technology, analysis of user behavior, data visualization, etc. We speak about data-centric applications to problems in all fields, whether it is in the natural sciences, the social sciences, or something else.
Views: 1353 Michigan Engineering
Introduction to Data warehouse  and difference between Database and Data warehouse
Introduction to Data warehouse and difference between Database and Data warehouse more videos In computer science, ACID (Atomicity, Consistency, Isolation, Durability) is a set of properties that guarantee that database transactions are processed reliably. In the context of databases, a single logical operation on the data is called a transaction. http://atozknowledge.com/ Technology in Tamil
Views: 18013 atoz knowledge
Teori 15 - Data Mining
Oleh : Lutfifanti Purwaningtyas Wulan Sufandy 2D3ITA - 2103121024
Hassan Chafi, Research Manager, Oracle Labs @ MLconf ATL
PGX: An In-Memory, Parallel Graph Analytic and Query Engine Brief Description: In-memory (and distributed) graph analytic engine that is tightly coupled with a relational database. Long Description/Abstract: We present a graph processing system in which a graph database is tightly integrated with a graph analytic engine. Our graph database, based on existing NoSQL and relational databases, provides scalable management of graph data for transactional workloads. Our graph analytic engine, on the other hand, enables rapid execution of analytic workloads. We first introduce PGX, our in-memory graph analytic engine which initially loads up the graph data from the database and periodically synchronizes afterward. The parallel execution engine of PGX is very efficient – e.g. counting triangles in billion-edge graphs in 2 minutes. The users can also submit their custom graph algorithms written in a domain-specific language; PGX automatically parallelizes them for execution. Then we introduce PGX.DIST, our distributed graph analytic engine. We show that PGX.DIST is up to orders of magnitude faster than the state-of-art graph analytic engine. The DSL compiler can help running the same algorithm on both PGX and PGX.DIST, transparently. * Graph database tightly integrated with graph analytic engine * Fast, parallel in-memory graph analytic engine * Distributed graph analytic engine * Use of Domain-Specific Language for graph analytics
Views: 603 MLconf
Knowledge Discovery and Datamining | University of East Anglia (UEA)
The School of Computing Sciences is one of the largest and most experienced computing schools in the UK. We offer excellent teaching, research, facilities and exciting course modules, creating a dynamic programme targeted at one of the most rapidly growing sectors of the job market. Our research is highly acclaimed, with 95% of our work rated as world-leading, internationally excellent or recognised in the most recent Research Assessment Exercise (RAE 2008). http://www.uea.ac.uk/cmp
Views: 1717 UEA
Connect Oracle SQL Developer to Oracle Database XE
In this tutorial I will show you how you can use Oracle SQL Developer with Oracle Database Express Edition 11g Relase 2. More, I will show you the basics of creating an administrator user witch you can use to connect to the database. Download Link: http://www.oracle.com/technetwork/developer-tools/sql-developer/downloads/index.html
Data Mining for Content Marketing by Data Jacker
http://goo.gl/jZRZoa . Mine Highly Lucrative Data for Content Marketing with Data Jacker :)
Views: 3852 Ron R. Gat
How Oracle Argus Safety Migrations Work
Learn how to migrate to Oracle's Argus Safety. -- Is your organization considering migrating to Argus Safety, Oracle's comprehensive safety and pharmacovigilance system? Then you probably already know that moving and reformatting legacy adverse event cases can be a major bottleneck. BioPharm, with our partner, Valiance, can quickly automate and streamline many aspects of the migration and implementation process without resorting to custom scripts, existing APIs, and time-consuming manual tasks. From the assessment and strategy to the complete migration and verification of adverse event cases from your source system (e.g., AERS, ARISg, Excel, Trace, Custom, etc.), leveraging our tried-and-true methodologies and technologies helps you accelerate the entire process with confidence. Please join BioPharm's Dr. Rodney Lemery and Valiance's Richard Wells for a free one-hour webinar that will explore: -- The types of risks and challenges associated with safety data system migrations, including those related to Japan and other countries -- How to successfully approach a safety and pharmacovigilance system migration and implementation project -- The benefits of pre-configured migration software and automated 100% migration testing -- Examples of past migration and implementation projects -- Your own migration questions and challenges To view this webinar in its entirety, please visit: https://cc.readytalk.com/r/c281688i2iki&eom Twitter: http://www.twitter.com/BioPharmSystems Facebook: http://www.facebook.com/BioPharmSystems LinkedIn: http://www.linkedin.com/companies/biopharm-systems-inc Google+: https://plus.google.com/+BioPharm
Views: 1747 BioPharmSystems

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