Microsoft Azure SQL Data Warehouse Toolkit

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Save time, empower your teams and effectively upgrade your processes with access to this practical Microsoft Azure SQL Data Warehouse Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Microsoft Azure SQL Data Warehouse related project.

Download the Toolkit and in Three Steps you will be guided from idea to implementation results.

The Toolkit contains the following practical and powerful enablers with new and updated Microsoft Azure SQL Data Warehouse specific requirements:


STEP 1: Get your bearings

Start with...

  • The latest quick edition of the Microsoft Azure SQL Data Warehouse Self Assessment book in PDF containing 49 requirements to perform a quickscan, get an overview and share with stakeholders.

Organized in a data driven improvement cycle RDMAICS (Recognize, Define, Measure, Analyze, Improve, Control and Sustain), check the…

  • Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation

Then find your goals...


STEP 2: Set concrete goals, tasks, dates and numbers you can track

Featuring 992 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Microsoft Azure SQL Data Warehouse improvements can be made.

Examples; 10 of the 992 standard requirements:

  1. Do you have policies and standards covering electronic authentication, authorization, and access control of personnel and resources to your information systems, applications and data?

  2. How do other organizations reconcile the need to move away from older systems while simultaneously moving forward with the digital transformation initiatives?

  3. How do you ensure that each drill site or refinery has what it needs, at the right time, in the right quantity, every time?

  4. Do you have controls in place to detect wireless access points connected to your wired network or rogue access points?

  5. How do you manage scheduled maintenance downtime across the business while keeping throughput as high as possible?

  6. Has your organization established and documented data governance frameworks with multiple sensitivity tiers?

  7. Are there any economic benefits for your organization when choosing heat recovered from a data centre?

  8. What requirements must your organization meet when it transfers records to a records storage facility?

  9. Can catalog administrator infer data domains for a data source if the file type is unstructured text?

  10. Does the disaster recovery plan address issues specific to the covered entitys operating environment?


Complete the self assessment, on your own or with a team in a workshop setting. Use the workbook together with the self assessment requirements spreadsheet:

  • The workbook is the latest in-depth complete edition of the Microsoft Azure SQL Data Warehouse book in PDF containing 992 requirements, which criteria correspond to the criteria in...

Your Microsoft Azure SQL Data Warehouse self-assessment dashboard which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next:

  • The Self-Assessment Excel Dashboard; with the Microsoft Azure SQL Data Warehouse Self-Assessment and Scorecard you will develop a clear picture of which Microsoft Azure SQL Data Warehouse areas need attention, which requirements you should focus on and who will be responsible for them:

    • Shows your organization instant insight in areas for improvement: Auto generates reports, radar chart for maturity assessment, insights per process and participant and bespoke, ready to use, RACI Matrix
    • Gives you a professional Dashboard to guide and perform a thorough Microsoft Azure SQL Data Warehouse Self-Assessment
    • Is secure: Ensures offline data protection of your Self-Assessment results
    • Dynamically prioritized projects-ready RACI Matrix shows your organization exactly what to do next:

 

STEP 3: Implement, Track, follow up and revise strategy

The outcomes of STEP 2, the self assessment, are the inputs for STEP 3; Start and manage Microsoft Azure SQL Data Warehouse projects with the 62 implementation resources:

  • 62 step-by-step Microsoft Azure SQL Data Warehouse Project Management Form Templates covering over 1500 Microsoft Azure SQL Data Warehouse project requirements and success criteria:

Examples; 10 of the check box criteria:

  1. Stakeholder Analysis Matrix: What resources might the stakeholder bring to the Microsoft Azure SQL Data Warehouse project?

  2. Activity Duration Estimates: After changes are approved are Microsoft Azure SQL Data Warehouse project documents updated and distributed?

  3. Risk Management Plan: Risk may be made during which step of risk management?

  4. Team Member Status Report: Does the product, good, or service already exist within your organization?

  5. Team Member Performance Assessment: To what degree do all members feel responsible for all agreed-upon measures?

  6. Procurement Management Plan: Is an industry recognized mechanized support tool(s) being used for Microsoft Azure SQL Data Warehouse project scheduling & tracking?

  7. Responsibility Assignment Matrix: Too many rs: with too many people labeled as doing the work, are there too many hands involved?

  8. Variance Analysis: Are all authorized tasks assigned to identified organizational elements?

  9. Duration Estimating Worksheet: What is the total time required to complete the Microsoft Azure SQL Data Warehouse project if no delays occur?

  10. Assumption and Constraint Log: Does a documented Microsoft Azure SQL Data Warehouse project organizational policy & plan (i.e. governance model) exist?

 
Step-by-step and complete Microsoft Azure SQL Data Warehouse Project Management Forms and Templates including check box criteria and templates.

1.0 Initiating Process Group:

  • 1.1 Microsoft Azure SQL Data Warehouse project Charter
  • 1.2 Stakeholder Register
  • 1.3 Stakeholder Analysis Matrix


2.0 Planning Process Group:

  • 2.1 Microsoft Azure SQL Data Warehouse project Management Plan
  • 2.2 Scope Management Plan
  • 2.3 Requirements Management Plan
  • 2.4 Requirements Documentation
  • 2.5 Requirements Traceability Matrix
  • 2.6 Microsoft Azure SQL Data Warehouse project Scope Statement
  • 2.7 Assumption and Constraint Log
  • 2.8 Work Breakdown Structure
  • 2.9 WBS Dictionary
  • 2.10 Schedule Management Plan
  • 2.11 Activity List
  • 2.12 Activity Attributes
  • 2.13 Milestone List
  • 2.14 Network Diagram
  • 2.15 Activity Resource Requirements
  • 2.16 Resource Breakdown Structure
  • 2.17 Activity Duration Estimates
  • 2.18 Duration Estimating Worksheet
  • 2.19 Microsoft Azure SQL Data Warehouse project Schedule
  • 2.20 Cost Management Plan
  • 2.21 Activity Cost Estimates
  • 2.22 Cost Estimating Worksheet
  • 2.23 Cost Baseline
  • 2.24 Quality Management Plan
  • 2.25 Quality Metrics
  • 2.26 Process Improvement Plan
  • 2.27 Responsibility Assignment Matrix
  • 2.28 Roles and Responsibilities
  • 2.29 Human Resource Management Plan
  • 2.30 Communications Management Plan
  • 2.31 Risk Management Plan
  • 2.32 Risk Register
  • 2.33 Probability and Impact Assessment
  • 2.34 Probability and Impact Matrix
  • 2.35 Risk Data Sheet
  • 2.36 Procurement Management Plan
  • 2.37 Source Selection Criteria
  • 2.38 Stakeholder Management Plan
  • 2.39 Change Management Plan


3.0 Executing Process Group:

  • 3.1 Team Member Status Report
  • 3.2 Change Request
  • 3.3 Change Log
  • 3.4 Decision Log
  • 3.5 Quality Audit
  • 3.6 Team Directory
  • 3.7 Team Operating Agreement
  • 3.8 Team Performance Assessment
  • 3.9 Team Member Performance Assessment
  • 3.10 Issue Log


4.0 Monitoring and Controlling Process Group:

  • 4.1 Microsoft Azure SQL Data Warehouse project Performance Report
  • 4.2 Variance Analysis
  • 4.3 Earned Value Status
  • 4.4 Risk Audit
  • 4.5 Contractor Status Report
  • 4.6 Formal Acceptance


5.0 Closing Process Group:

  • 5.1 Procurement Audit
  • 5.2 Contract Close-Out
  • 5.3 Microsoft Azure SQL Data Warehouse project or Phase Close-Out
  • 5.4 Lessons Learned

 

Results

With this Three Step process you will have all the tools you need for any Microsoft Azure SQL Data Warehouse project with this in-depth Microsoft Azure SQL Data Warehouse Toolkit.

In using the Toolkit you will be better able to:

  • Diagnose Microsoft Azure SQL Data Warehouse projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices
  • Implement evidence-based best practice strategies aligned with overall goals
  • Integrate recent advances in Microsoft Azure SQL Data Warehouse and put process design strategies into practice according to best practice guidelines

Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable role; In EVERY company, organization and department.

Unless you are talking a one-time, single-use project within a business, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?'

This Toolkit empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Microsoft Azure SQL Data Warehouse investments work better.

This Microsoft Azure SQL Data Warehouse All-Inclusive Toolkit enables You to be that person.

 

Includes lifetime updates

Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.