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Oracle Enterprise Data Quality Profiling
 
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A short video that explains Oracle Enterprise Data Quality's profiling functionality and what it can do for you.
Views: 2959 Oracle EDQ
Why you need a profiler for Oracle
 
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This video explains why you need a profiler for Oracle-based software application systems. For more information about the Method R Profiler, please visit http://method-r.com/software/profiler.
Views: 3196 Cary Millsap
Getting started on Data profiling
 
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This video walks you through setting up the services required for Profiling in Informatica 9.1.x and executes a profile from Analyst Tool.
Views: 35745 Informatica Support
Oracle Enterprise Data Quality - Writing Reference Data Demo
 
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Visit the Oracle Enterprise Data Quality Learning Library at https://apexapps.oracle.com/pls/apex/f?p=44785:141:0::NO:141:P141_PAGE_ID,P141_SECTION_ID:195,1386 This video demonstrates how to write reference data from an Oracle Enterprise Data Quality process. 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.
Introduction to Data Quality Profiling and Scorecards
 
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An Introduction to Data Quality Profiling and Scorecards by Robert Whelan.He is an expert in Data Quality. DQ version 9.6
Views: 9358 dataUtrust
Kaygen presents: CollibraConnect for Oracle Enterprise Data Quality Product Demonstration
 
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Kaygen developed and integrated solution: A best-in-class, business-driven Data Governance solution (Collibra Data Governance Center) and Enterprise Data Quality (Oracle EDQ) includes real-time data quality metrics from Oracle® EDQ. This product is available through Collibra or Kaygen, and enables organizations to expose data quality metrics to business users, data stewards, and data scientists in real-time, in turn enabling them to make decisions about the data quality and compliance issues.
Data Profiling with MS Access
 
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Learn how to perform simple Data Profiling on small dataset using MS Access.
Views: 1150 DataAcademy.in
Oracle Enterprise Data Quality: The Director User Interface and its Key Objects
 
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Visit the Oracle Enterprise Data Quality Learning Library at https://apexapps.oracle.com/pls/apex/f?p=44785:141:0::NO:141:P141_PAGE_ID,P141_SECTION_ID:195,1386 This video provides an overview of Oracle Enterprise Data Quality's Director user interface, and introduces you to some of its key objects. You can find tutorials at https://apexapps.oracle.com/pls/apex/f?p=44785:141:0::::P141_PAGE_ID,P141_SECTION_ID:195,1385 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.
Data Profiler Demo
 
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Data Profiler is an application we built that gives you highly valuable insight into the quality of your data sitting in Salesforce CRM. With this insight you can take steps to clean your database.
Views: 243 ModelMetrics
Data Governance With Oracle Enterprise Data Quality
 
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A short video explaining the role of Oracle Enterprise Data Quality in your Data Governance strategy.
Views: 3010 Oracle EDQ
Data Quality for Oracle Siebel
 
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Data Cleansing, Data Validation and Duplicate Prevention for Oracle Siebel CRM and Oracle Siebel UCM. Learn more about data quality for Oracle: http://www.humaninference.com/solutions/first-time-right/data-quality-for-siebel
Views: 2564 holger wandt
EDQ Overview
 
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Views: 1923 William Indest
Data Profiling
 
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Automated data profiling within Alteryx Designer evaluates the completeness and quality of a dataset prior to building a model.
Views: 11149 Alteryx
Code Review Tools Oracle PLSQL Profiler Android App Static and Dynamic code analysis tool
 
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#Oracle #PLSQL Profiler #Android app provides Comment Density to identify critical sections in the code &Assess if its complex or easy for maintenance App Download Link: https://play.google.com/store/apps/details?id=appinventor.ai_pshreedhar.PLSQL_Review1
Views: 295 TxSolve
Informatica Data Quality - Exploring Profiles Analyst Tool - Part 3 of 10
 
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Bharati DW Consultancy cell:+1+562-646-6746 email: [email protected] website: http://bharaticonsultancy.in/ Online training Institute Informatica Basic Tutorial Cognos Training, Informatica Training, Qlikview Training, Tableau Training Cognos Tutorial, Informatica Tutorial, Qlikview Tutorial, Tableau Tutorial Informatica Data quality Training, Bharati DW Consultancy, Informatica Training Institute in Mumbai Informatica Data Quality - Part 3 of 10
Views: 8626 BharatiDWConsultancy
How to use data profiling in Toad Data Point
 
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http://www.DellSoftware.com/Toad-Data-Point This video demonstrates how to use data profiling in Toad Data Point from Dell Software.
Views: 1922 Dell EMC Support
Oracle Enterprise Data Quality: CDS - Tailor Match: Compare Alpha and Numeric Phones
 
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Visit the Oracle Enterprise Data Quality Learning Library at https://apexapps.oracle.com/pls/apex/f?p=44785:141:0::NO:141:P141_PAGE_ID,P141_SECTION_ID:195,1386 This video shows you how to Tailor an Oracle Enterprise Data Quality Customer Data Services Pack Match Service To Compare Alpha With Numeric Phone Numbers. 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.
Keeping it Clean:  How Data Profiling Leads to Trusted Data
 
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Using data captured in the course of providing healthcare has never been more important. The shift from fee-for-service to fee-for-value demands that healthcare organizations understand the quality and cost of the care they provide. Data-driven decisions in support of performance improvement has never been more critical. Healthcare organizations must harvest the data from across its portfolio of implemented applications and put it to use – re-purpose it – in pursuit of healthier people at optimal cost. Health care organizations have been building data warehouses of various sorts for a number of years. These initiatives typically start with high hopes for the reporting, measurement and analytics the collected data and associated technology will support. The reality, sadly, often does not meet expectations. Usually, the report or dashboard works just fine, it’s the data that isn’t as expected. Data dictionaries, organizational standards, and pick lists for data entry fields may describe the intent of a particular data field but don’t guarantee that the data captured in the source system actually reflects that intent. Metrics and the analytics supporting performance improvement require consistent, reliable data. To ensure the data landing in a data warehouse –or even in an analytic application– is as expected, an organization needs to profile and evaluate that data prior to moving it. Data profiling is the activity that examines the format and values of data and helps an organization understand exactly the state it’s in. It is the statistical analysis and assessment of the data values in source systems for consistency, uniqueness and logic. After this webinar, attendees should be able to: - Clearly define and understand data profiling - Discuss benefits of data profiling - Describe the types of projects that benefit from data profiling - Explain what types of resources are needed for a successful data profiling project
Views: 2250 HIStalk Webinars
Oracle Enterprise Data Quality: Writing Refernce Data Presentation
 
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This video provides an overview of Oracle Enterprise Data Quality's reference data writing functionality. 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.
Benefits of MDM and Data Profiling
 
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In order to truly reap the benefits of MDM (Master Data Management), a business must understand the quality of its data. Data profiling helps improve and maintain data quality by uncovering anomalies at the source and eliminating redundancies. New policies or procedures can then correct those issues, and the subsequent data management will provide more valuable results. eVerge Group is an Oracle Platinum Partner with extensive Oracle MDM experience. For more information about our business solutions, contact us at our website. http://www.evergegroup.com/contact.php
Views: 1844 eVerge
Experian Pandora (Free Data Profiler) - Profiling Tutorial
 
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Learn more about the proactive data analysis that takes place upon importing your data into the Experian Pandora Free Data Profiler. To find out more visit https://www.edq.com/uk/solutions/experian-pandora/data-profiling/
Views: 2160 DataQualityUK
1Z0-587 – Oracle Exam Customer Hub Test Quality Questions
 
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For more information on Oracle 1Z0-587 Practice Test Questions Please Visit: https://www.Pass-Guaranteed.com/1Z0-587.htm What am I going to be tested for? This 1Z0-587 certification exam covers topics such as: Describe the 1Z0-587 Data Quality Profiling Server, Use scorecards and generate Profiling Test Reports, Create 1Z0-587 reference data, Configure survivorship rules, Examine and process suspect match records, Merge records and use Oracle guided merge, Unmerge exam records, Use 1Z0-587 Data Governance Manager, Configure Privacy Questions Tools, Use Hierarchy Test Management. Which are some of the topics of the 1Z0-587 Quality exam? 1Z0-587 Test Topic 1: UCM Batch Questions (Exam Coverage 20%) 1Z0-587 Test Topic 2: Bulk Import Questions (Exam Coverage 17%) 1Z0-587 Test Topic 3: Data Quality Matching Questions (Exam Coverage 12%) 1Z0-587 Test Topic 4: Oracle Data Cleansing Questions (Exam Coverage 22%) 1Z0-587 Test Topic 5: Address Validation Questions (Exam Coverage 16%) 1Z0-587 Test Topic 6: Data Quality Profiling Questions (Exam Coverage 13%) Who can attend to the Oracle Customer Hub and Oracle Data Quality Essentials test? Candidates must have a basic understanding of: Describe the Data Quality Test Server, Configure the 1Z0-587 Data Quality Engine, Configure 1Z0-587 UCM for matching, Modify matching behavior, Describe the Data Exam Quality Parsing and Standardization Server, Configure Oracle UCM for address validation, Validate and standardize test addresses. Can you give me some in-depth information on the 1Z0-587 exam topics? • Describe UCM test components and functionality • Describe 1Z0-587 UCM Extension Hubs and their functionality • Use 1Z0-587 Cross referencing • Register external exam systems • Use Source Exam Data and History tables • Use Master Data Management Test Analytics • Use 1Z0-587 UCM List Import to perform a batch import • Correct incomplete transactions What’s the 1Z0-587 passing score and duration? The duration of this exam is 120 minutes (71 questions) and the minimum passing score is 62%.
Views: 214 Orsan Stubell
#Oracle #PLSQL Profiler #MsExcel. App Download Link in the description
 
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#Oracle #PLSQL Profiler #MsExcel Solution useful app for PL/SQL Architects, Developers &Consultants to Check Code Quality To own this solution, you can check out this link: https://www.txsolve.com/product-page/plsql-code-review-tool
Views: 89 TxSolve
Configuration - Free Data Profiler Tutorial
 
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The Free Data Profiler can be configured to connect to SGL servers and more - see how. In this tutorial, you will be shown how to configure the Free Data Profiler to connect to SQL Server, Oracle and more using a JDBC connection - allowing you access to the tool - https://www.edq.com/uk/solutions/data-profiling/free-data-profiler/
Views: 406 DataQualityUK
Oracle Enterprise Data Quality: CDS - Tailor Match Preparation
 
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Visit the Oracle Enterprise Data Quality Learning Library at https://apexapps.oracle.com/pls/apex/f?p=44785:141:0::NO:141:P141_PAGE_ID,P141_SECTION_ID:195,1386 This video shows you how to tailor a match preparation process in the Oracle Enterprise Data Quality Customer Data Services Pack (EDQ-CDS). 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.
Oracle Enterprise Data Quality: CDS - Using the UID and EID Attributes
 
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Visit the Oracle Enterprise Data Quality Learning Library at https://apexapps.oracle.com/pls/apex/f?p=44785:141:0::NO:141:P141_PAGE_ID,P141_SECTION_ID:195,1386 This video shows you how to use the UID (Unique ID) and EID (Elimination ID) attributes in the Oracle Enterprise Data Quality Customer Data Services Pack. 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.
What is Data Quality / Tech VLOG
 
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What is Data Quality: how do you define it for the business ? What are some key, foundational concepts of Data Quality that impact the business ? Join me in learning the dimensions of data quality, what are some of the trends, and what can you do about it, from a non technical point of view. just to disclose some info: I work for Informatica LLC, a provider of data management software. The opinions I share are my own.
Views: 2893 Garnie Bolling
InfaSupport Webinar: An Introduction to Data Quality Profiling and Scorecards
 
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This is the Webinar recording on the topic - "An Intrduction to Data Quality Profiling and Scorecards"
Views: 4558 Informatica Support
Oracle DRM Hierarchy | Oracle DRM | Oracle Data Relationship Management
 
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www.bisptrainings.com, www.bispsolutions.com
Views: 139 Amit Sharma
DMW   Accelerate Data Cleansing
 
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Oracle Health Sciences Data Management Workbench is the industry’s only, true, end-to-end, clinical data management solution for data cleansing, integration and analysis. For more information, visit the Oracle Help Center. https://docs.oracle.com/en/industries/health-sciences/index.html ================================= To improve the video quality, click the gear icon and set the Quality to 1080p/720p HD. For more information, see http://www.oracle.com/goto/oll and http://docs.oracle.com Copyright © 2017 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. 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 or merchantability, fitness for a particular purpose, and non-infringement.
Data Quality Dashboard for Oracle EBusiness Suite
 
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Click to watch a quick demo of Triniti's Data Quality Dashboard, D-Q-D for Oracle EBusiness Suite. It is part of the Triniti multi-domain MDM Suite. A Data quality dashboard should be an essential part of any MDM program. The dashboard allows the user to view data metrics and their historical trends and monitor data quality on a continuous basis. This enables users and stewards to address the root cause for poor data quality and measure the effectiveness of the MDM program. Items, BOMs, Routing, customer, supplier are examples master data elements, Sales Orders, Forecast, Demantra signals are examples of Demand data elements Requisitions, purchase orders, Work in Process, Inventory are examples Supply data elements Lead times, capacity, Yield, Firm Supplies, Planning Time Fence, Demand Time Fence, Calendar, Resource Shifts, Simulation Sets, Profile options, Planning Buckets are examples of planning factor data elements. Orphan accounts are an example financial data element. They are categorized under vertical dimensions Timely, reliable, accurate and complete. The reliability dimension is calculated automatically based on the other three vertical dimensions. This dimension reflects the trust that the users should have on the quality of the data. This page shows up the list of all data Quality indicators orDQIs configured under different horizontal and vertical dimensions. Triniti DQD comes embedded with more than 300 DQIs. You can add your own DQI. Alerts can also be configured for the DQIs and add routed to a contact person. Alerts are sent by email. You can drill down to all the errors that contribute to poor data quality. Historical trends are displayed with graphs. Triniti DQD is an essential part of the Triniti MDM suite and ensures that you maximize benefits of both MDM and ERP investments.
Views: 123 Triniti Corporation
ODI Tutorial: Data Quality Control Introduction
 
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Get Certified in ODI: It's my birthday month, and I'd like you to join me in celebrating. I'm offering my ODI 11g Hands on Video Tutorials course with 3 Practice tests to get certified in ODI for 50% off The price is approx 5799 rupees ($99) after discount. Please use the below link to get 50% discount https://www.udemy.com/odi11gvideos/?couponCode=ODIGURU Please contact for online ODI training [email protected] www.odigurus.com
Oracle Comic - Data Quality Management
 
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Der Kunde ist König, aber kennen Sie ihn wirklich genau? Von der Qualität Ihrer Kundendaten und deren ganzheitlichen Sicht hängt viel ab: Ihre Vertriebschancen zu nutzen, um die Umsatzziele zu erreichen ist im hart umkämpften Wettbewerb immer schwieriger geworden. Kostendruck, schnellere Innovationszyklen und gestiegene Kundenanforderungen fordern präzise Marketing- und Vertriebaktionen, die auch wirklich beim Kunden ankommen. Sehen Sie in unserem Video wie Sie mehr Qualität in ihre Daten bringen, Mitarbeiter produktiver, Prozesse effizienter und Kunden glücklicher machen. Dafür braucht man die richtigen Partner. Wir können das, weil wir mitdenken und das Beste unser Vorbild ist. Mehr Informationen finden Sie unter http://www.daten-richtig-organisiert.de/
Views: 706 OraclePartnerDe
Data Profiling and Cleansing with DataCleaner
 
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Take a quick tour of DataCleaner - the premier commercial open source data quality solution. This video provides an overview of the applications user interface and a few features related to data profiling and cleansing. Be sure to visit www.datacleaner.org for more information.
Views: 5521 DataCleaner
Informatica IDQ How to import a Table and  the Profilling
 
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For complete professional training visit at: http://www.bisptrainings.com/course/Informatica-Data-Quality-IDQ Follow us on Facebook: https://www.facebook.com/bisptrainings/ Follow us on Twitter: https://twitter.com/bisptrainings Email: [email protected] Call us: +91 975-275-3753 or +1 386-279-6856
Views: 718 Amit Sharma
Data Quality Column Patterns
 
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This video helps you in understanding the pattern output in the profiling results of Data Quality.
Views: 982 Informatica Support
QA Tutorial - Generate a Profile
 
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Applicationspecific Oracle SQL commands could be extracted from the QueryAdvisor repository and applied automatic against different databases. This video shows how to setup and execute a profile. Download your free copy at http://www.QueryAdvisor.com.
Views: 131 QueryAdvisor
Accelerate data quality evaluation with IBM InfoSphere Information Governance Catalog 11.7.1
 
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IBM InfoSphere Information Governance Catalog uses auto discovery and automation rules to significantly streamline the typical workflow for business rules. This helps data analysts automatically import unknown or "dark" data, profile that data, apply business rules, do data classification, assign terms, and assign a data quality score and data quality dimensions all as part of a single action. Learn more at https://ibm.co/2VNjedV
Views: 781 IBM Analytics
Oracle CRM All Things On Demand
 
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Demonstrating Oracle's commitment to ongoing innovation, Oracle CRM On Demand Release 18 introduces industry-leading capabilities designed to drive revenue and reduce costs. Release 18 delivers enhanced lead quality with progressive profiling and advanced data integration, allowing companies to target potential customers with more relevant messages using adaptive campaigns, and to increase conversion rates. Enterprise-grade cloud security helps ensure that critical data is safe and secure in the cloud, providing enterprise-grade data encryption, virtual private network connections and access control auditing, protecting customer interactions in the cloud while adhering to data compliance standards.
Views: 186 Cloudkai
Trillium DQ for Big Data
 
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Trillium DQ for Big Data maximizes the business value of Big Data with industry-leading data profiling and data quality powered by the scalability and performance you need with your largest data volumes to deliver trusted business applications
Views: 96 Syncsort
Talend Data Profiler
 
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Column analysis with Talend Open Studio for MDM, quick 2 min, no sound
Views: 2291 jmustaka
ORACLE DATA INTEGRATOR ODI Lookup Component
 
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ORACLE DATA INTEGRATOR ODI Lookup Component
Views: 701 srinu bondada
Data Quality Software in Australia - Melissa
 
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Data Quality Software in Australia - Melissa is a leading provider of Data quality software in Australia for Data Profiling, verification, standardization and cleansing, data enrichment services for your organization. http://www.melissa.com/au/data/data-quality.html
Views: 4 Jasmine A
Aspects of Data Quality of Concern to Business
 
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Brief video showing some examples and aspects of data quality of concern to the business. Useful in helping the business understand that improving the quality of data they use requires their engagement. Feel free to use this video. An acknowledgement would be appreciated. Video Copyright 2014 - Jeffrey Scott
Views: 2460 J Scott
How To: Create CDC datamaps for oracle source from PowerExchange
 
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This video is a step by step procedure on how to create registration and extraction map from PowerExchange navigator.
Views: 20065 Informatica Support
Oracle Sales Cloud - CDM Batch Deduplication
 
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R11 Oracle Sales Cloud CDM Batch Deduplication
Views: 2907 chakravarthy kalva
NDSS2019 Quantity vs. Quality: Evaluating User Interest Profiles Using Ad Preference Managers
 
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SESSION 4B-5 Quantity vs. Quality: Evaluating User Interest Profiles Using Ad Preference Managers Widely reported privacy issues concerning major online advertising platforms (e.g., Facebook) have heightened concerns among users about the data that is collected about them. However, while we have a comprehensive understanding who collects data on users, as well as how tracking is implemented, there is still a significant gap in our understanding: what information do advertisers actually infer about users, and is this information accurate? In this study, we leverage Ad Preference Managers (APMs) as a lens through which to address this gap. APMs are transparency tools offered by some advertising platforms that allow users to see the interest profiles that are constructed about them. We recruited 220 participants to install an IRB approved browser extension that collected their interest profiles from four APMs (Google, Facebook, Oracle BlueKai, and Neilsen eXelate), as well as behavioral and survey data. We use this data to analyze the size and correctness of interest profiles, compare their composition across the four platforms, and investigate the origins of the data underlying these profiles. PAPER https://www.ndss-symposium.org/wp-content/uploads/2019/02/ndss2019_04B-5_Bashir_paper.pdf SLIDES https://www.ndss-symposium.org/wp-content/uploads/ndss2019_04B-5_Bashir_slides.pdf AUTHORS Muhammad Ahmad Bashir (Northeastern University) Umar Farooq (LUMS Pakistan) Maryam Shahid (LUMS Pakistan) Muhammad Fareed Zaffar (LUMS Pakistan) Christo Wilson (Northeastern University) Network and Distributed System Security (NDSS) Symposium 2019, 24-27 February 2019, Catamaran Resort Hotel & Spa in San Diego, California. https://www.ndss-symposium.org/ndss-program/ndss-symposium-2019-program/ ABOUT NDSS The Network and Distributed System Security Symposium (NDSS) fosters information exchange among researchers and practitioners of network and distributed system security. The target audience includes those interested in practical aspects of network and distributed system security, with a focus on actual system design and implementation. A major goal is to encourage and enable the Internet community to apply, deploy, and advance the state of available security technologies. https://www.ndss-symposium.org/ #NDSS #NDSS19 #NDSS2019 #InternetSecurity
Views: 44 NDSS Symposium
Mining Structured and Unstructured Data
 
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Oracle Advanced Analytics (OAA) Database Option leverages Oracle Text, a free feature of the Oracle Database, to pre-process (tokenize) unstructured data for ingestion by the OAA data mining algorithms. By moving, parallelized implementations of machine learning algorithms inside the Oracle Database, data movement is eliminated and we can leverage other strengths of the Database such as Oracle Text (not to mention security, scalability, auditing, encryption, back up, high availability, geospatial data, etc.. This YouTube video presents an overview of the capabilities for combing and data mining structured and unstructured data, includes several brief demonstrations and instructions on how to get started--either on premise or on the Oracle Cloud.
Views: 2735 Charlie Berger