This document discusses data resource management and different types of databases. It describes how companies like Amazon, eBay, and Google are opening up some of their databases to developers. It also discusses the roles of database administrators and data stewards in managing organizational data resources. The document outlines different types of databases including operational databases, distributed databases, external databases, hypermedia databases, data warehouses, and traditional file processing systems. It compares the database management approach to traditional file processing.
Enterprise Information Management (EIM) in SQL Server 2012Mark Gschwind
These are the slides from my 2013 SQL Saturday presentations in Mountain View and Sacramento. I suggest you view the (newer) videos, as they cover all that material and more. However, here is the session description these slides cover:
A recent survey by Information Week found that data quality is the greatest barrier to BI adoption in enterprises. MDS addresses this challenge with modeling, validation, alerting and security capabilities. In this presentation, you will learn how to use MDS to model your data to ensure correctness, update it with changes from your ERP, and create workflows with notifications. Next you will learn the capabilities of DQS and see how it addresses data standardization, completeness and other challenges. You will then see how to use them together to enable Enterprise Information Management. BI professionals will come away with knowledge on how to use tools that address the greatest risk to success for BI projects - data quality
Enterprise Information Management (EIM) in SQL Server 2012Mark Gschwind
These are the slides from my 2013 SQL Saturday presentations in Mountain View and Sacramento. I suggest you view the (newer) videos, as they cover all that material and more. However, here is the session description these slides cover:
A recent survey by Information Week found that data quality is the greatest barrier to BI adoption in enterprises. MDS addresses this challenge with modeling, validation, alerting and security capabilities. In this presentation, you will learn how to use MDS to model your data to ensure correctness, update it with changes from your ERP, and create workflows with notifications. Next you will learn the capabilities of DQS and see how it addresses data standardization, completeness and other challenges. You will then see how to use them together to enable Enterprise Information Management. BI professionals will come away with knowledge on how to use tools that address the greatest risk to success for BI projects - data quality
Master Data Management (MDM) is a feature of Microsoft Dynamics AX 2012 R3 that lets you synchronize master data records across multiple instances of Microsoft Dynamics AX 2012. By creating and maintaining a single copy of master data, you can help guarantee the consistency of important information, such as customer and product data, that is shared across AX 2012 instances
Master data management (mdm) & plm in context of enterprise product managementTata Consultancy Services
The presentation discusses the classical features and advantages of Master Data Management (MDM) system along with appropriate situations to use it. How do companies apply MDM who design, manufacture and sell their products in several geographies facing challenges in making appropriate decisions on their investment in PLM & MDM space?
Another important aspect covers the comparison/relation between a MDM system (or Product Master System) and Enterprise PLM system. How can you maximize your ROI on both PLM and MDM investments? With examples from different industries the key takeaways include whether your organization requires an MDM solution or not.
MMIS/HealthCare Payer Applications depend upon traditional data base models and structured data analytics to fulfill their needs. These approaches, while adequate in the past, will not suffice to address future requirements. They lack the processing capability to load and query multi-terabyte datasets in a timely fashion and the flexibility to effectively manage unstructured and semi-structured data. Adapting “Big Data” platform to MMIS application will resolve above issues.
Future of Horizontal Services by Harrick Vin, VP & Chief Scientist, TCS. The two functions of enterprise IT -- run the business (RTB) and change the business (CTB) -- are undergoing significant changes because of automation. In this presentation, we talked about what is fueling this change, and some of the challenges in realizing automation benefits in enterprises.
Embarcadero Technologies & Ron Lewis, Senior Security Analyst with CDO Technologies hosted a live one hour webinar on the "Five Steps to Mastering Master Data Management. Learn how a solid metadata repository can support data governance and increase the effectiveness of master data use.
More than 70% of Master Data Management fails to reach full ROI due to inadequate implementation. I tried to highlight some of key areas to watch for during MDM implementation.
Master Data Management (MDM) is a feature of Microsoft Dynamics AX 2012 R3 that lets you synchronize master data records across multiple instances of Microsoft Dynamics AX 2012. By creating and maintaining a single copy of master data, you can help guarantee the consistency of important information, such as customer and product data, that is shared across AX 2012 instances
Master data management (mdm) & plm in context of enterprise product managementTata Consultancy Services
The presentation discusses the classical features and advantages of Master Data Management (MDM) system along with appropriate situations to use it. How do companies apply MDM who design, manufacture and sell their products in several geographies facing challenges in making appropriate decisions on their investment in PLM & MDM space?
Another important aspect covers the comparison/relation between a MDM system (or Product Master System) and Enterprise PLM system. How can you maximize your ROI on both PLM and MDM investments? With examples from different industries the key takeaways include whether your organization requires an MDM solution or not.
MMIS/HealthCare Payer Applications depend upon traditional data base models and structured data analytics to fulfill their needs. These approaches, while adequate in the past, will not suffice to address future requirements. They lack the processing capability to load and query multi-terabyte datasets in a timely fashion and the flexibility to effectively manage unstructured and semi-structured data. Adapting “Big Data” platform to MMIS application will resolve above issues.
Future of Horizontal Services by Harrick Vin, VP & Chief Scientist, TCS. The two functions of enterprise IT -- run the business (RTB) and change the business (CTB) -- are undergoing significant changes because of automation. In this presentation, we talked about what is fueling this change, and some of the challenges in realizing automation benefits in enterprises.
Embarcadero Technologies & Ron Lewis, Senior Security Analyst with CDO Technologies hosted a live one hour webinar on the "Five Steps to Mastering Master Data Management. Learn how a solid metadata repository can support data governance and increase the effectiveness of master data use.
More than 70% of Master Data Management fails to reach full ROI due to inadequate implementation. I tried to highlight some of key areas to watch for during MDM implementation.
Workshop on "Data Management - The Foundation of all Analytics" given by John Aidoo, Data Analytics Manager at Central Insurance Company, Van Wert, Ohio.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
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Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
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The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
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How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
For more information, visit-www.vavaclasses.com
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptx
Chap05 data resource mgt
1. Data Resource
Management
James A. O'Brien, and George Marakas. Management Information Systems with MISource 2007, 8th
ed.
Boston, MA: McGraw-Hill, Inc., 2007. ISBN: 13 9780073323091
Management
Information System
By
Rao Majid Shamshad
Faculty, DoMS, University of Okara
2. Case 1 Sharing Business Databases
•Amazon’s data vault
•Product descriptions
•Prices
•Sales rankings
•Customer reviews
•Inventory figures
•Countless other layers of content
•Took 10 years and a billion dollars to build
Chapter 5 Data Resource ManagementChapter 5 2
3. Case 1 Sharing Business
Databases
•Amazon opened its data vault in 2002
• 65,000 developers, businesses, and entrepreneurs have
tapped into it
• Many have become ambitious business partners
•eBay opened its $3 billion databases in 2003
• 15,000 developers and others have registered
to use it and to access software features
• 1,000 new applications have appeared
• 41 percent of eBay’s listings are uploaded to
the site using these resources
Chapter 5 Data Resource ManagementChapter 5 3
4. Case 1 Sharing Business
Databases
•Google recently unlocked access to its
desktop and paid-search products
•Dozens of Google-driven services
cropped up
•Developers can grab 1,000 search
results a day for free; anything more
requires permission
•In 2005, the Ad-Words paid-search
service
was opened to outside applicationsChapter 5 Data Resource ManagementChapter 5 4
5. Case Study Questions
•What are the business benefits to Amazon and
eBay of opening up some of their databases to
developers and entrepreneurs?
• Do you agree with this strategy?
•What business factors are causing Google to
move slowly in opening up its databases?
• Do you agree with its go-slow strategy?
•Should other companies follow Amazon and
eBay’s lead and open up some of their databases
to developers and others?
• Defend your position with an example of the risks and
benefits to an actual company
Chapter 5 Data Resource ManagementChapter 5 5
7. Logical Data Elements
• Character
• A single alphabetic, numeric, or other symbol
• Field or data item
• Represents an attribute (characteristic or quality)
of some entity (object, person, place, event)
• Example: salary, job title
• Record
• Grouping of all the fields used to describe the attributes of an
entity
• Example: payroll record with name, SSN, pay rate
• File or table
• A group of related records
• Database
• An integrated collection of logically related
data elements
Chapter 5 Data Resource ManagementChapter 5 7
9. Database Development
•Database Administrator (DBA)
•In charge of enterprise database
development
•Improves the integrity and security of
organizational databases
•Uses Data Definition Language (DDL) to
develop and specify data contents,
relationships, and structure
•Stores these specifications in a data
dictionary or a metadata repository
Chapter 5 Data Resource ManagementChapter 5 9
10. Data Dictionary
•A data dictionary
•Contains data about data (metadata)
•Relies on specialized software component to
manage a database of data definitions
•It contains information on..
•The names and descriptions of all types of data
records and their interrelationships
•Requirements for end users’ access and use of
application programs
•Database maintenance
•Security
Chapter 5 Data Resource ManagementChapter 5 10
11. Data Resource Management
• Data resource management is a managerial activity
• Uses data management, data warehousing,
and other IS technologies
• Manages data resources to meet the information
needs of business stakeholders
• Data stewards
• Dedicated to establishing and maintaining the
quality of data
• Need business, technology, and diplomatic skills
• Focus on data content
• Judgment is a big part of the job
Chapter 5 Data Resource ManagementChapter 5 11
12. Case Study Questions
•Why is the role of a data steward
considered to be innovative?
•What are the business benefits
associated with the data steward
program at Emerson?
•How does effective data resource
management contribute to the strategic
goals of an organization?
Chapter 5 Data Resource ManagementChapter 5 12
14. Operational Databases
•Stores detailed data needed to support
business processes and operations
•Also called subject area databases (SADB),
transaction databases, and production
databases
•Database examples: customer, human
resource, inventory
Chapter 5 Data Resource ManagementChapter 5 14
15. Distributed Databases
• Distributed databases are copies or parts of databases stored on servers at multiple
locations
• Improves database performance at worksites
• Advantages
• Protection of valuable data
• Data can be distributed into smaller databases
• Each location has control of its local data
• All locations can access any data, any where
• Disadvantages
• Maintaining data accuracy
• Replication
• Look at each distributed database and find changes
• Apply changes to each distributed database
• Very complex
• Duplication
• One database is master
• Duplicate the master after hours, in all locations
• Easier to accomplish
Chapter 5 Data Resource ManagementChapter 5 15
16. External Databases
•Databases available for a fee from
commercial online services, or free from
the Web
•Example: hypermedia databases,
statistical databases, bibliographic and
full text databases
•Search engines like Google or Yahoo
are
external databases
Chapter 5 Data Resource ManagementChapter 5 16
17. Hypermedia Databases
•A hypermedia database contains
•Hyperlinked pages of multimedia
•Interrelated hypermedia page
elements, rather than interrelated
data records
Chapter 5 Data Resource ManagementChapter 5 17
19. Data Warehouses
•Stores static data that has been extracted
from other databases in an organization
•Central source of data that has been
cleaned, transformed, and cataloged
•Data is used for data mining, analytical
processing, analysis, research, decision
support
•Data warehouses may be divided into data
marts
•Subsets of data that focus on specific
aspects
of a company (department or business
Chapter 5 Data Resource ManagementChapter 5 19
22. Data Mining
•Data in data warehouses are analyzed to reveal
hidden patterns and trends
•Market-basket analysis to identify new
product bundles
•Find root cause of qualify or manufacturing
problems
•Prevent customer attrition
•Acquire new customers
•Cross-sell to existing customers
•Profile customers with more accuracy
Chapter 5 Data Resource ManagementChapter 5 22
23. Traditional File Processing
•Data are organized, stored, and processed
in independent files
•Each business application designed to
use specialized data files containing
specific
types of data records
•Problems
•Data redundancy
•Lack of data integration
•Data dependence (files, storage devices,
software) Chapter 5 Data Resource ManagementChapter 5 23
25. Database Management
Approach
•The foundation of modern methods of
managing organizational data
•Consolidates data records formerly in
separate files into databases
•Data can be accessed by many different
application programs
•A database management system (DBMS)
is the software interface between users
and databases
Chapter 5 Data Resource ManagementChapter 5 25
27. Database Management
System
•In mainframe and server computer
systems, a software package that is used
to…
•Create new databases and database
applications
•Maintain the quality of the data in an
organization’s databases
•Use the databases of an organization
to provide the information needed by
end users
Chapter 5 Data Resource ManagementChapter 5 27
29. Database Interrogation
•End users use a DBMS query feature or
report generator
•Response is video display or printed
report
•No programming is required
•Query language
•Immediate response to ad hoc data
requests
•Report generator
•Quickly specify a format for information
you want to present as a report
Chapter 5 Data Resource ManagementChapter 5 29
30. Database Maintenance
•Accomplished by transaction
processing systems and other
applications, with the support of the
DBMS
•Done to reflect new business
transactions and other events
•Updating and correcting data, such
as customer addresses
Chapter 5 Data Resource ManagementChapter 5 30