Chapter12
•Download as PPT, PDF•
2 likes•3,343 views
The document discusses the system development life cycle, which includes 5 phases: planning, analysis, design, implementation, and operation/support/security. It describes the activities performed in each phase such as conducting feasibility studies, gathering requirements, designing system details, acquiring hardware/software, testing, and training users. Project management techniques like Gantt charts are used to plan and schedule development projects.
Report
Share
Report
Share
Recommended
HP Vertica Architecture Gives Massive Performance Boost to Toughest BI Querie...
Transcript of a BriefingsDirect podcast on how a major insurance company is using improved data architecture to gain a competitive advantage.
The Analytical HR Professional: A Look at Data-Driven Talent Management
Faced with unprecedented generational shifts and evolving business imperatives for smart growth, the need for a complete and comprehensive view of the workforce - from skills, competencies and performance to hiring and retiring - has never been higher. However, many organizations lack the critical insight needed to identify high performers, develop high potentials, ensure that the right employees receive the right training and effectively deploy one of their most valuable resources - their people - to execute the organization's strategy. Join Lisa Rowan of IDC Research as she discusses the role of workforce for HR leaders seeking a more proactive role in driving business strategy. She will discuss how organizations can use a data-driven approach to HR to advance the workforce and seize market opportunities, and share tips for getting started.
Successfully Kickstarting Data Governance's Social Dynamics: Define, Collabor...
Successfully Kickstarting Data Governance's Social Dynamics: Define, Collabor...Stijn (Stan) Christiaens
Learn how to launch your data governance program, by answering three questions:
- What does my data mean: collect and manage business definitions and relations, taxonomies and classifications, business rules and ontologies;
- How can I involve all stakeholders: engage them across business units and geographies, with stewards, data owners, … in a guiding workflow;
- How do I operationalize data governance: link MDM, DQ and BI to the business, use business-driven semantic modelling, achieve end-to end traceabilitiy. During this session we will use examples from different verticals: Finance, Government, Utilities,… .
We discuss their main drivers for starting a Data Governance initiative, as well as their pragmatic approach in moving from gradual roll out to support and sustain their Data Governance program.Data Integration, Interoperability and Virtualization
This presentation is focused on the Data Integration and Interoperability section of the DMBOK2. It focuses on Data virtualization as a key tool of Data Integration.
Data-Ed Online: Emerging Trends in Data Jobs
Data is the lifeblood of just about every organization and functional area today. As businesses struggle to come to grips with the data flood, it is even more critical to focus on data as an asset that directly supports business imperatives as other organizational assets do. Organizations across most industries attempt to address data opportunities (e.g. Big Data) and data challenges (e.g. data quality) to enhance business unit performance. Unfortunately however, the results of these efforts frequently fall far below expectations due to haphazard approaches. Overall, poor organizational data management capabilities are the root cause of many of these failures. This webinar covers three lessons (illustrated by examples), which will help you to establish realistic OM plans and expectations, and help demonstrate the value of such actions to both internal and external decision makers.
Takeaways:
Organizational thinking must change: Value-added data management practices must be considered and included as a vital part of your business strategy.
Walk before you run with data focused initiatives: Understand and implement necessary data management prerequisites as a foundation, then build upon that foundation.
There are no silver bullets: Tools alone are not the answer. Specifying business requirements, business practices and data governance are almost always more important.
Building the Modern Data Hub
How you can gain rapid insights and create more flexibility by capturing and storing data from a variety of sources and structures into a NoSQL database.
Recommended
HP Vertica Architecture Gives Massive Performance Boost to Toughest BI Querie...
Transcript of a BriefingsDirect podcast on how a major insurance company is using improved data architecture to gain a competitive advantage.
The Analytical HR Professional: A Look at Data-Driven Talent Management
Faced with unprecedented generational shifts and evolving business imperatives for smart growth, the need for a complete and comprehensive view of the workforce - from skills, competencies and performance to hiring and retiring - has never been higher. However, many organizations lack the critical insight needed to identify high performers, develop high potentials, ensure that the right employees receive the right training and effectively deploy one of their most valuable resources - their people - to execute the organization's strategy. Join Lisa Rowan of IDC Research as she discusses the role of workforce for HR leaders seeking a more proactive role in driving business strategy. She will discuss how organizations can use a data-driven approach to HR to advance the workforce and seize market opportunities, and share tips for getting started.
Successfully Kickstarting Data Governance's Social Dynamics: Define, Collabor...
Successfully Kickstarting Data Governance's Social Dynamics: Define, Collabor...Stijn (Stan) Christiaens
Learn how to launch your data governance program, by answering three questions:
- What does my data mean: collect and manage business definitions and relations, taxonomies and classifications, business rules and ontologies;
- How can I involve all stakeholders: engage them across business units and geographies, with stewards, data owners, … in a guiding workflow;
- How do I operationalize data governance: link MDM, DQ and BI to the business, use business-driven semantic modelling, achieve end-to end traceabilitiy. During this session we will use examples from different verticals: Finance, Government, Utilities,… .
We discuss their main drivers for starting a Data Governance initiative, as well as their pragmatic approach in moving from gradual roll out to support and sustain their Data Governance program.Data Integration, Interoperability and Virtualization
This presentation is focused on the Data Integration and Interoperability section of the DMBOK2. It focuses on Data virtualization as a key tool of Data Integration.
Data-Ed Online: Emerging Trends in Data Jobs
Data is the lifeblood of just about every organization and functional area today. As businesses struggle to come to grips with the data flood, it is even more critical to focus on data as an asset that directly supports business imperatives as other organizational assets do. Organizations across most industries attempt to address data opportunities (e.g. Big Data) and data challenges (e.g. data quality) to enhance business unit performance. Unfortunately however, the results of these efforts frequently fall far below expectations due to haphazard approaches. Overall, poor organizational data management capabilities are the root cause of many of these failures. This webinar covers three lessons (illustrated by examples), which will help you to establish realistic OM plans and expectations, and help demonstrate the value of such actions to both internal and external decision makers.
Takeaways:
Organizational thinking must change: Value-added data management practices must be considered and included as a vital part of your business strategy.
Walk before you run with data focused initiatives: Understand and implement necessary data management prerequisites as a foundation, then build upon that foundation.
There are no silver bullets: Tools alone are not the answer. Specifying business requirements, business practices and data governance are almost always more important.
Building the Modern Data Hub
How you can gain rapid insights and create more flexibility by capturing and storing data from a variety of sources and structures into a NoSQL database.
Data-Ed: A Framework for no sql and Hadoop
Big Data and NoSQL continue to make headlines everywhere. However, most of what has been written about these topics is focused on the hardware, services, and scale out. But what about a Big Data and NoSQL Strategy, one that supports your business strategy? Virtually every major organization thinking about these data platforms is faced with the challenge of figuring out the appropriate approach and the requirements. This presentation will provide guidance on how to think about and establish realistic Big Data management plans and expectations. We will introduce a framework for evaluating the various choices when it comes to implementing and succeeding with Big Data/NoSQL and show how to demonstrate a sample use case.
DataEd Slides: Exorcising the Seven Deadly Data Sins
The difficulty of implementing a new data strategy often goes under-appreciated, particularly the multi-faceted procedural challenges that need to be met while doing so. Deficiencies in organizational readiness and core competence represent clearly visible problems faced by data managers, but beyond that there are several cultural and structural barriers common to virtually all organizations that must be eliminated in order to facilitate effective management of data. This webinar will discuss these barriers – the titular “Seven Deadly Data Sins” – and in the process will also:
• Elaborate upon the three critical factors that lead to strategy failure
• Demonstrate a two-stage Data Strategy implementation process
• Explore the sources and rationales behind the “Seven Deadly Data Sins,” and recommend solutions
Essential Metadata Strategies
The first step towards understanding data assets’ impact on your organization is understanding what those assets mean for each other. Metadata — literally, data about data — is a practice area required by good systems development, and yet is also perhaps the most mislabeled and misunderstood Data Management practice. Understanding metadata and its associated technologies as more than just straightforward technological tools can provide powerful insight into the efficiency of organizational practices, and enable you to combine practices into sophisticated techniques, supporting larger and more complex business initiatives. Program learning objectives include:
* Understanding how to leverage metadata practices in support of business strategy
* Discuss foundational metadata concepts
* Guiding principles for and lessons previously learned from metadata and its practical uses applied strategy
* Understanding how to leverage metadata practices in support of business strategy
* Metadata strategies, including:
* Metadata is a gerund so don’t try to treat it as a noun
* Metadata is the language of Data Governance
* Treat glossaries/repositories as capabilities, not technology
Data Management: Tips & Tools
Presentation for ITCE Spatial Camp at University of Utah. Discuss importance of research data management, challenges, some best practices. Includes slide of tools and resources for learning more. Some slides and information borrowed from Carly Strasser presentation on the same topic, as well as curriculum from Reproducible Science Workshop presented at iDigBio 2015.
Data-Ed Online: Trends in Data Modeling
Businesses cannot compete without data. Every organization produces and consumes it. Data trends are hitting the mainstream and businesses are adopting buzzwords such as Big Data, data vault, data scientist, etc., to seek solutions for their fundamental data issues. Few realize that the importance of any solution, regardless of platform or technology, relies on the data model supporting it. Data modeling is not an optional task for an organization’s data remediation effort. Instead, it is a vital activity that supports the solution driving your business.
This webinar will address emerging trends around data model application methodology, as well as trends around the practice of data modeling itself. We will discuss abstract models and entity frameworks, as well as the general shift from data modeling being segmented to becoming more integrated with business practices.
Takeaways:
How are anchor modeling, data vault, etc. different and when should I apply them?
Integrating data models to business models and the value this creates
Application development (Data first, code first, object first)
DataOps - The Foundation for Your Agile Data Architecture
Achieving agility in data and analytics is hard. It’s no secret that most data organizations struggle to deliver the on-demand data products that their business customers demand. Recently, there has been much hype around new design patterns that promise to deliver this much sought-after agility.
In this webinar, Chris Bergh, CEO and Head Chef of DataKitchen will cut through the noise and describe several elegant and effective data architecture design patterns that deliver low errors, rapid development, and high levels of collaboration. He’ll cover:
• DataOps, Data Mesh, Functional Design, and Hub & Spoke design patterns;
• Where Data Fabric fits into your architecture;
• How different patterns can work together to maximize agility; and
• How a DataOps platform serves as the foundational superstructure for your agile architecture.
Data-Ed: Data Architecture Requirements
Data architecture is foundational to an information-based operational environment. It is your data architecture that organizes your data assets so they can be leveraged in your business strategy to create real business value. Even though this is important, not all data architectures are used effectively. This webinar describes the use of data architecture as a basic analysis method. Various uses of data architecture to inform, clarify, understand, and resolve aspects of a variety of business problems will be demonstrated. As opposed to showing how to architect data, your presenter Dr. Peter Aiken will show how to use data architecting to solve business problems. The goal is for you to be able to envision a number of uses for data architectures that will raise the perceived utility of this analysis method in the eyes of the business.
Find out more: http://www.datablueprint.com/resource-center/webinar-schedule/
Data Management
This document describes abou the basic of data management .Also it describes the reasons for the emergence of data.
Data Systems Integration & Business Value Pt. 1: Metadata
Certain systems are more data focused than others. Usually their primary focus is on accomplishing integration of disparate data. In these cases, failure is most often attributable to the adoption of a single pillar (silver bullet). The three webinars in the Data Systems Integration and Business Value series are designed to illustrate that good systems development more often depends on at least three DM disciplines (pie wedges) in order to provide a solid foundation.
Much of the discussion of metadata focuses on understanding it and the associated technologies. While these are important, they represent a typical tool/technology focus and this has not achieved significant results to date. A more relevant question when considering pockets of metadata is: Whether to include them in the scope organizational metadata practices. By understanding what it means to include items in the scope of your metadata practices, you can begin to build systems that allow you to practice sophisticated ways to advance their data management and supported business initiatives. After a bit of practice in this manner you can position your organization to better exploit any and all metadata technologies.
Chief Data Officer Agenda Webinar: How CDOs Should Work with Lawyers
Legal risks, rights and obligations are among the most important emerging issues in enterprise data management today, and yet are not well understood, especially considering most CDOs come to the role with a business or IT background, rather than legal training. Bill Tanenbaum is one of the leading technology and intellectual property attorneys in the country, and is joining us on this edition of the CDO Agenda to provide a legal perspective on the issues that organizations should be dealing with today, from the standpoint of data management policy. Among the topics he will address are:
Security and Data Breaches
Data Vulnerability in Contracts
The CDO’s Role in ITS Contracts
Privacy is Contextual
Data Ownership vs License rights
Data as Intellectual Property
Data Sharing
Is Data an Asset?
How Long Should you Keep Data?
A Modern Approach to DI & MDM
Was Big Data worth it? We were promised a data revolution when Big Data and Hadoop exploded onto the scene – but those technologies brought with them ungoverned, underexploited, complex environments that didn’t solve the analytical problems they were supposed to. All is not lost, however. This webcast explores three important things we’ve learned from Big Data that can be applied to every kind of data environment: modern approaches to data that exploit the flexibility and power of Big Data without losing the governance and management our businesses need.
Why Data Modeling Is Fundamental
Because every organization produces and propagates data as part of their day-to-day operations, data trends are becoming more and more important in the mainstream business world’s consciousness. For many organizations in various industries, though, comprehension of this development begins and ends with buzzwords: “big data,” “NoSQL,” “data scientist,” and so on. Few realize that any and all solutions to their business problems, regardless of platform or relevant technology, rely to a critical extent on the data model supporting them. As such, Data Modeling is not an optional task for an organization’s data effort, but rather a vital activity that facilitates the solutions driving your business. Since quality engineering/architecture work products do not happen accidentally, the more your organization depends on automation, the more important the data models driving the engineering and architecture activities of your organization become. This webinar illustrates Data Modeling as a key activity upon which so much technology depends.
Data-Ed Online: Data Operations Management: Turning Your Challenges Into Success
This webinar aired originally on Tuesday, April 10, 2012. It is part of Data Blueprint’s ongoing webinar series on data management with Dr. Peter Aiken.
Sign up for future sessions at http://www.datablueprint.com/webinar-schedule.
Abstract
While database operations comprise the majority of the organizational data operations management focus, other data delivery options, e.g. portals and virtualization, are interacting with increasingly complex regulatory environments. This presents organizations with dense analysis challenges in order to understand reporting obligations. Using the Zachman Framework as a guide, you will learn how to understand and approach data operations challenges from tuning to real-time reconfiguration. This presentation provides you with an understanding of data operations management, including the initiation, operation, tuning, maintenance, backup/recovery, archiving and disposal of data assets in support of organizational strategies and other activities.
Fasten you seatbelt and listen to the Data Steward
In that session we will discuss about Data Governance, mainly around that fantastic platform Power BI (but also around on-prem concerns).
How to avoid dataset-hell ? What are the best practices for sharing queries ? Who is the famous Data Steward and what is its role in a department or in the whole company ? How do you choose the right person ?
Keywords : Power Query, Data Management Gateway, Power BI Admin Center, Datastewardship, SharePoint 2013, eDiscovery
Level 200
Investigating The Lever V5 Formatted
Investigating The Lever V5 FormattedMichigan Mathematics and Science Teacher Leadership Collaborative
More Related Content
What's hot
Data-Ed: A Framework for no sql and Hadoop
Big Data and NoSQL continue to make headlines everywhere. However, most of what has been written about these topics is focused on the hardware, services, and scale out. But what about a Big Data and NoSQL Strategy, one that supports your business strategy? Virtually every major organization thinking about these data platforms is faced with the challenge of figuring out the appropriate approach and the requirements. This presentation will provide guidance on how to think about and establish realistic Big Data management plans and expectations. We will introduce a framework for evaluating the various choices when it comes to implementing and succeeding with Big Data/NoSQL and show how to demonstrate a sample use case.
DataEd Slides: Exorcising the Seven Deadly Data Sins
The difficulty of implementing a new data strategy often goes under-appreciated, particularly the multi-faceted procedural challenges that need to be met while doing so. Deficiencies in organizational readiness and core competence represent clearly visible problems faced by data managers, but beyond that there are several cultural and structural barriers common to virtually all organizations that must be eliminated in order to facilitate effective management of data. This webinar will discuss these barriers – the titular “Seven Deadly Data Sins” – and in the process will also:
• Elaborate upon the three critical factors that lead to strategy failure
• Demonstrate a two-stage Data Strategy implementation process
• Explore the sources and rationales behind the “Seven Deadly Data Sins,” and recommend solutions
Essential Metadata Strategies
The first step towards understanding data assets’ impact on your organization is understanding what those assets mean for each other. Metadata — literally, data about data — is a practice area required by good systems development, and yet is also perhaps the most mislabeled and misunderstood Data Management practice. Understanding metadata and its associated technologies as more than just straightforward technological tools can provide powerful insight into the efficiency of organizational practices, and enable you to combine practices into sophisticated techniques, supporting larger and more complex business initiatives. Program learning objectives include:
* Understanding how to leverage metadata practices in support of business strategy
* Discuss foundational metadata concepts
* Guiding principles for and lessons previously learned from metadata and its practical uses applied strategy
* Understanding how to leverage metadata practices in support of business strategy
* Metadata strategies, including:
* Metadata is a gerund so don’t try to treat it as a noun
* Metadata is the language of Data Governance
* Treat glossaries/repositories as capabilities, not technology
Data Management: Tips & Tools
Presentation for ITCE Spatial Camp at University of Utah. Discuss importance of research data management, challenges, some best practices. Includes slide of tools and resources for learning more. Some slides and information borrowed from Carly Strasser presentation on the same topic, as well as curriculum from Reproducible Science Workshop presented at iDigBio 2015.
Data-Ed Online: Trends in Data Modeling
Businesses cannot compete without data. Every organization produces and consumes it. Data trends are hitting the mainstream and businesses are adopting buzzwords such as Big Data, data vault, data scientist, etc., to seek solutions for their fundamental data issues. Few realize that the importance of any solution, regardless of platform or technology, relies on the data model supporting it. Data modeling is not an optional task for an organization’s data remediation effort. Instead, it is a vital activity that supports the solution driving your business.
This webinar will address emerging trends around data model application methodology, as well as trends around the practice of data modeling itself. We will discuss abstract models and entity frameworks, as well as the general shift from data modeling being segmented to becoming more integrated with business practices.
Takeaways:
How are anchor modeling, data vault, etc. different and when should I apply them?
Integrating data models to business models and the value this creates
Application development (Data first, code first, object first)
DataOps - The Foundation for Your Agile Data Architecture
Achieving agility in data and analytics is hard. It’s no secret that most data organizations struggle to deliver the on-demand data products that their business customers demand. Recently, there has been much hype around new design patterns that promise to deliver this much sought-after agility.
In this webinar, Chris Bergh, CEO and Head Chef of DataKitchen will cut through the noise and describe several elegant and effective data architecture design patterns that deliver low errors, rapid development, and high levels of collaboration. He’ll cover:
• DataOps, Data Mesh, Functional Design, and Hub & Spoke design patterns;
• Where Data Fabric fits into your architecture;
• How different patterns can work together to maximize agility; and
• How a DataOps platform serves as the foundational superstructure for your agile architecture.
Data-Ed: Data Architecture Requirements
Data architecture is foundational to an information-based operational environment. It is your data architecture that organizes your data assets so they can be leveraged in your business strategy to create real business value. Even though this is important, not all data architectures are used effectively. This webinar describes the use of data architecture as a basic analysis method. Various uses of data architecture to inform, clarify, understand, and resolve aspects of a variety of business problems will be demonstrated. As opposed to showing how to architect data, your presenter Dr. Peter Aiken will show how to use data architecting to solve business problems. The goal is for you to be able to envision a number of uses for data architectures that will raise the perceived utility of this analysis method in the eyes of the business.
Find out more: http://www.datablueprint.com/resource-center/webinar-schedule/
Data Management
This document describes abou the basic of data management .Also it describes the reasons for the emergence of data.
Data Systems Integration & Business Value Pt. 1: Metadata
Certain systems are more data focused than others. Usually their primary focus is on accomplishing integration of disparate data. In these cases, failure is most often attributable to the adoption of a single pillar (silver bullet). The three webinars in the Data Systems Integration and Business Value series are designed to illustrate that good systems development more often depends on at least three DM disciplines (pie wedges) in order to provide a solid foundation.
Much of the discussion of metadata focuses on understanding it and the associated technologies. While these are important, they represent a typical tool/technology focus and this has not achieved significant results to date. A more relevant question when considering pockets of metadata is: Whether to include them in the scope organizational metadata practices. By understanding what it means to include items in the scope of your metadata practices, you can begin to build systems that allow you to practice sophisticated ways to advance their data management and supported business initiatives. After a bit of practice in this manner you can position your organization to better exploit any and all metadata technologies.
Chief Data Officer Agenda Webinar: How CDOs Should Work with Lawyers
Legal risks, rights and obligations are among the most important emerging issues in enterprise data management today, and yet are not well understood, especially considering most CDOs come to the role with a business or IT background, rather than legal training. Bill Tanenbaum is one of the leading technology and intellectual property attorneys in the country, and is joining us on this edition of the CDO Agenda to provide a legal perspective on the issues that organizations should be dealing with today, from the standpoint of data management policy. Among the topics he will address are:
Security and Data Breaches
Data Vulnerability in Contracts
The CDO’s Role in ITS Contracts
Privacy is Contextual
Data Ownership vs License rights
Data as Intellectual Property
Data Sharing
Is Data an Asset?
How Long Should you Keep Data?
A Modern Approach to DI & MDM
Was Big Data worth it? We were promised a data revolution when Big Data and Hadoop exploded onto the scene – but those technologies brought with them ungoverned, underexploited, complex environments that didn’t solve the analytical problems they were supposed to. All is not lost, however. This webcast explores three important things we’ve learned from Big Data that can be applied to every kind of data environment: modern approaches to data that exploit the flexibility and power of Big Data without losing the governance and management our businesses need.
Why Data Modeling Is Fundamental
Because every organization produces and propagates data as part of their day-to-day operations, data trends are becoming more and more important in the mainstream business world’s consciousness. For many organizations in various industries, though, comprehension of this development begins and ends with buzzwords: “big data,” “NoSQL,” “data scientist,” and so on. Few realize that any and all solutions to their business problems, regardless of platform or relevant technology, rely to a critical extent on the data model supporting them. As such, Data Modeling is not an optional task for an organization’s data effort, but rather a vital activity that facilitates the solutions driving your business. Since quality engineering/architecture work products do not happen accidentally, the more your organization depends on automation, the more important the data models driving the engineering and architecture activities of your organization become. This webinar illustrates Data Modeling as a key activity upon which so much technology depends.
Data-Ed Online: Data Operations Management: Turning Your Challenges Into Success
This webinar aired originally on Tuesday, April 10, 2012. It is part of Data Blueprint’s ongoing webinar series on data management with Dr. Peter Aiken.
Sign up for future sessions at http://www.datablueprint.com/webinar-schedule.
Abstract
While database operations comprise the majority of the organizational data operations management focus, other data delivery options, e.g. portals and virtualization, are interacting with increasingly complex regulatory environments. This presents organizations with dense analysis challenges in order to understand reporting obligations. Using the Zachman Framework as a guide, you will learn how to understand and approach data operations challenges from tuning to real-time reconfiguration. This presentation provides you with an understanding of data operations management, including the initiation, operation, tuning, maintenance, backup/recovery, archiving and disposal of data assets in support of organizational strategies and other activities.
Fasten you seatbelt and listen to the Data Steward
In that session we will discuss about Data Governance, mainly around that fantastic platform Power BI (but also around on-prem concerns).
How to avoid dataset-hell ? What are the best practices for sharing queries ? Who is the famous Data Steward and what is its role in a department or in the whole company ? How do you choose the right person ?
Keywords : Power Query, Data Management Gateway, Power BI Admin Center, Datastewardship, SharePoint 2013, eDiscovery
Level 200
What's hot (20)
DataEd Online: Unlock Business Value through Data Governance
DataEd Online: Unlock Business Value through Data Governance
DataEd Slides: Exorcising the Seven Deadly Data Sins
DataEd Slides: Exorcising the Seven Deadly Data Sins
DataOps - The Foundation for Your Agile Data Architecture
DataOps - The Foundation for Your Agile Data Architecture
How to Get Started with Your MongoDB Pilot Project
How to Get Started with Your MongoDB Pilot Project
Data Systems Integration & Business Value Pt. 1: Metadata
Data Systems Integration & Business Value Pt. 1: Metadata
Chief Data Officer Agenda Webinar: How CDOs Should Work with Lawyers
Chief Data Officer Agenda Webinar: How CDOs Should Work with Lawyers
Real-World Data Governance: Setting Appropriate Business Expectations
Real-World Data Governance: Setting Appropriate Business Expectations
Data-Ed Online: Data Operations Management: Turning Your Challenges Into Success
Data-Ed Online: Data Operations Management: Turning Your Challenges Into Success
Fasten you seatbelt and listen to the Data Steward
Fasten you seatbelt and listen to the Data Steward
DataEd Online: Unlocking Business Value through Data Modeling and Data Archit...
DataEd Online: Unlocking Business Value through Data Modeling and Data Archit...
Viewers also liked
Investigating The Lever V5 Formatted
Investigating The Lever V5 FormattedMichigan Mathematics and Science Teacher Leadership Collaborative
Viewers also liked (7)
Presentation By Mr. David: HOD Design And Technology, Pathways Gurgaon
Presentation By Mr. David: HOD Design And Technology, Pathways Gurgaon
Similar to Chapter12
VTU - MIS Module 4 - SDLC
Need for System Analysis
Stages in System Analysis
Structured SAD and tools :
DFD
Context Diagram
Decision Table
Structured Diagram.
System Development Models:
Water Flow
Prototype
Spiral
RAD
Roles and responsibilities of
System Analyst,
Database Administrator
Database Designer
Chapter 1- INTRODUCTION TO SYSTEM ANALYSIS AND DESIGN by DEEPA (1).pptx
Chapter 1- INTRODUCTION TO SYSTEM ANALYSIS AND DESIGN by DEEPA
Management Information Systems – Week 7 Lecture 2Developme.docx
Management Information Systems – Week 7 Lecture 2
Development & Improvement
Chapter 13 Systems Development: Design, Implementation, Maintenance,
and Review
You have learned about information systems and seen a little about how the project is run to create a new
system. This week you will focus on the actual systems design process. This will help you whether you
become a programmer, systems analyst or are a department manager. There are countless articles on
this subject on the internet and some great YouTube videos so take a moment to do some extra research
and learn more about systems development.
When an IS manager sits down to design a system they look at several areas and have many special
tools at their disposal.
A systems engineer or senior developer will first look at the logical design. This usually means that they
look at the user request and determine what they really mean! Once they have clarification they will create
a physical design. This might be object-oriented (using code that has already been created) or mock ups
showing interface design and controls. This is sometimes called storyboarding. This image is an example
of creating a new user interface:
System design time is an investment for the business, it will help by preventing, detecting, and correcting
errors prior to the application software being written. It will generate systems design alternatives. One
alternative is to ask software developers to create the application for the business, this is done by creating
a request for proposal (RFP). Software vendors will then propose several options at various price points.
The business can then review the proposals, do a cost benefit analysis and select an appropriate plan of
action.
Once a project has started it is a good idea to freezing design specifications using a contract, and even a
design report called a Functional Design Document. This process is intended to allow the development
team to focus on creating a specific application and not have to try to hit a constantly moving target. As
the application is being developed it is also time to acquire the hardware that will be needed. If the
application requires a headset with microphone for voice input or a super-fast computer, this is the time to
make sure the application will be functional when it is implemented.
Types of IS hardware vendors include:
General computer manufacturers
Small computer manufacturers
Peripheral equipment manufacturers
Computer dealers and distributors
Chip makers
While the application is being developed and the hardware acquired, in a perfect world the personnel will
be hired and trained and any preparations will be done for the site and data requirements (additional disk
drives for databases or could computing). One of the phases of software development is the testing
phase. It really cannot be considered the final stage because it may result in some additional planning,
programming or other modifications. It can be considered to be ...
member is a security software architect in a cloud service provider .docx
member is a security software architect in a cloud service provider company, assigned to a project to provide the client with data integrity and confidentiality protections for data in transit that will be using applications in the cloud. Your client is an HR company that is moving HR applications and HR data into a community cloud, sharing tenancy with other clients. Your company has set up a software as a service, SAS, offering for its client base.
The data that the HR company will be pushing to and from the cloud will contain sensitive employee information, such as personally identifiable information, PII. You will have to address sensitive data and transit issues of the client data using the HR applications stored in the cloud, and provide a life cycle management report that includes solutions to the cloud computing architect of your company.
Software Development Life Cycle
Technology development and implementation usually follow a software development life cycle (SDLC) methodology. This approach ensures accuracy of information for analysis and decision making, as well as appropriate resources for effective technology management.
You and your team members will use components of the SDLC methodology to develop a
life cycle management report
for the cloud computing architect of a company. This is a group exercise, representing the kind of collaboration often required in the cybersecurity technology community.
There are 11 steps to lead you through this project. Similar steps are typically used in organizational SDLC projects. Most steps should take no more than two hours to complete, and the entire project should take no more than three weeks to complete. Begin with the workplace scenario, and then continue with Step 1: “Initiating the Project.”
Life Cycle Management Report:
A 10- to 15-page double-spaced Word document on data protection techniques for a cloud-based service with citations in APA format. The page count does not include figures or tables. There is no penalty for using additional pages if you need them. Include a minimum of six references. Include a reference list with the report.
As the cloud security architect, you must understand the security development life cycle process. Review the following resources to learn about the security development life cycle process:
security development life cycle
software development methodologies
Click the following links to learn more about critical infrastructure sectors:
Critical Infrastructure Sectors
. Read their descriptions and consider which sector you support in your role.
Process Control Systems: Cybersecurity and Defense
To be completed by a designated team member:
You will begin your Life Cycle Management Report now.
Choose a fictional or actual organization. Describe the mission of the organization and the business need to move to a cloud environment.
Identify the scope of the security architecture and include a topology. To narrow your scope, focus on is.
Managing IT Projects
The basic in managing IT projects and tips on how a Region project manager will handle Worldwide initiated projects
Similar to Chapter12 (20)
Chapter 1- INTRODUCTION TO SYSTEM ANALYSIS AND DESIGN by DEEPA (1).pptx
Chapter 1- INTRODUCTION TO SYSTEM ANALYSIS AND DESIGN by DEEPA (1).pptx
Management Information Systems – Week 7 Lecture 2Developme.docx
Management Information Systems – Week 7 Lecture 2Developme.docx
member is a security software architect in a cloud service provider .docx
member is a security software architect in a cloud service provider .docx
More from Izaham
More from Izaham (20)
A development of computer assisted software (a ja-w)
A development of computer assisted software (a ja-w)
Recently uploaded
Communications Mining Series - Zero to Hero - Session 1
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
By Design, not by Accident - Agile Venture Bolzano 2024
As presented at the Agile Venture Bolzano, 4.06.2024
Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Securing your Kubernetes cluster_ a step-by-step guide to success !
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Microsoft - Power Platform_G.Aspiotis.pdf
Revolutionizing Application Development
with AI-powered low-code, presentation by George Aspiotis, Sr. Partner Development Manager, Microsoft
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Video Streaming: Then, Now, and in the Future
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
20240607 QFM018 Elixir Reading List May 2024
Everything I found interesting about the Elixir programming ecosystem in May 2024
National Security Agency - NSA mobile device best practices
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
UiPath Test Automation using UiPath Test Suite series, part 5
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
GraphRAG is All You need? LLM & Knowledge Graph
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Recently uploaded (20)
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptx
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptx
Chapter12
- 1. Chapter 12 Information System Development
- 2. Chapter 12 Objectives List the phases in the system development cycle Identify the guidelines for system development Discuss the importance of project management, feasibility assessment, documentation, and data and information gathering techniques Explain the activities performed in the planning phase Discuss the purpose of the activities performed in the analysis phase Describe the various tools used in process modeling Describe the various tools used in object modeling Explain the activities performed in the design phase Recognize the develop programs activity is part of the system development cycle Discuss the activities performed in the implementation phase Discuss the purpose of the activities performed in the operation, support, and security phase Next
- 36. Design Phase Video: A Tour of Lucasfilm Data Center Next CLICK TO START
- 55. Summary of Information System Development Phases in the system development cycle Guidelines for system development Activities that occur during the entire system development cycle Chapter 12 Complete