Data Lake Architecture Toolkit

Save time, empower your teams and effectively upgrade your processes with access to this practical Data Lake Architecture Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Data Lake Architecture 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 Data Lake Architecture specific requirements:

STEP 1: Get your bearings

Start with...


• The latest quick edition of the Data Lake Architecture 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 996 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Data Lake Architecture improvements can be made.

Examples; 10 of the 996 standard requirements:


1. Have you considered a strategy to refresh your dated infrastructure while integrating expansive digital capabilities as data lakes and machine learning?
   
   

2. How do you securely extend data access across your organization to enable users to combine, compose and explore data to gain new insights?
   
   

3. What are the physical characteristics of the network architecture that connects the data sources to the replicas?
   
   

4. How do you choose a technology deployment strategy that will allow for businesses to remain flexible and scale?
   
   

5. Is creating and using kind of visualizations of added value to you or your organization, as decision support?
   
   

6. Are you concerned about intellectual property protection and legal issues of your application and data?
   
   

7. Does the repository apply documented processes and procedures in managing archival storage of the data?
   
   

8. How will you mitigate data quality or integrity problems that can compromise vital business processes?
   
   

9. How can quality issues be documented when using, combining, or analyzing data from different sources?
   
   

10. What are the design principles that lead to good functional design and a workable data architecture?
    
    


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 Data Lake Architecture book in PDF containing 996 requirements, which criteria correspond to the criteria in...


Your Data Lake Architecture 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 Data Lake Architecture Self-Assessment and Scorecard you will develop a clear picture of which Data Lake Architecture 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 Data Lake Architecture 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 Data Lake Architecture projects with the 62 implementation resources:


• 62 step-by-step Data Lake Architecture Project Management Form Templates covering over 1500 Data Lake Architecture project requirements and success criteria:


Examples; 10 of the check box criteria:


1. Risk Register: Can the likelihood and impact of failing to achieve corresponding recommendations and action plans be assessed?
   
   

2. Stakeholder Management Plan: Is there an on-going process in place to monitor Data Lake Architecture project risks?
   
   

3. Responsibility Assignment Matrix: The already stated responsible for the establishment of budgets and assignment of resources for overhead performance?
   
   

4. Procurement Management Plan: Are governance roles and responsibilities documented?
   
   

5. Executing Process Group: What is the difference between using brainstorming and the Delphi technique for risk identification?
   
   

6. Procurement Audit: Are the journals and ledgers kept current for all funds?
   
   

7. Cost Management Plan: Is an industry recognized mechanized support tool(s) being used for Data Lake Architecture project scheduling & tracking?
   
   

8. Project or Phase Close-Out: Does the lesson describe a function that would be done differently the next time?
   
   

9. Planning Process Group: What is involved in Data Lake Architecture project scope management, and why is good Data Lake Architecture project scope management so important on information technology Data Lake Architecture projects?
   
   

10. Project Charter: What outcome, in measureable terms, are you hoping to accomplish?


 
Step-by-step and complete Data Lake Architecture Project Management Forms and Templates including check box criteria and templates.

1.0 Initiating Process Group:


• 1.1 Data Lake Architecture project Charter

• 1.2 Stakeholder Register

• 1.3 Stakeholder Analysis Matrix


2.0 Planning Process Group:


• 2.1 Data Lake Architecture project Management Plan

• 2.2 Scope Management Plan

• 2.3 Requirements Management Plan

• 2.4 Requirements Documentation

• 2.5 Requirements Traceability Matrix

• 2.6 Data Lake Architecture 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 Data Lake Architecture 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 Data Lake Architecture 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 Data Lake Architecture 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 Data Lake Architecture project with this in-depth Data Lake Architecture Toolkit.

In using the Toolkit you will be better able to:


• Diagnose Data Lake Architecture 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 Data Lake Architecture 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 Data Lake Architecture investments work better.

This Data Lake Architecture 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.