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
- 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 991 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 991 standard requirements:
- Can the provided solution be a combination of a data warehouse for historical and interactive reporting as well as a data repository for developers to access and create own reporting?
- What organizational, product, service, regulatory, market, competitive, or other environmental changes could impact the operation or performance of the present replication strategy?
- Have you launched a successful data warehouse, data lake, and/or data governance initiative and feel ready to build predictive models on your data sets as a next step?
- What infrastructure capabilities will need to be in place to ensure scalability, low latency, and performance, including computing, storage, and network capabilities?
- Which issues, if any, are most concerning to your organization when users are working with spreadsheets to visualize, analyze, prepare, and share data and analytics?
- Have you considered a strategy to refresh your dated infrastructure while integrating expansive digital capabilities as data lakes and machine learning?
- Do you have an installed base data lake, a central repository combining customer and asset information, including sales and reseller information?
- What data governance policies will need to be in place for classifying data; defining its relevance; and storing, analyzing, and accessing it?
- What sla requirements will your business stakeholders expect, especially for business-critical applications that impact revenue?
- What would happen if you were to choose a path of accumulating positive cash flow properties to generate your desired income?
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 991 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:
- Activity Duration Estimates: Do an internet search on earning pmp certification. be sure to search for yahoo groups related to this topic. what are the options you found to help people prepare for the exam?
- Activity Duration Estimates: Is there anything planned that does not need to be here?
- Variance Analysis: Are material costs reported within the same period as that in which BCWP is earned for that material?
- Scope Management Plan: Describe the process for accepting the Data Lake Architecture project deliverables. Will the Data Lake Architecture project deliverables become accepted in writing?
- Variance Analysis: How do you manage changes in the nature of the overhead requirements?
- Risk Audit: Is the technology to be built new to your organization?
- Initiating Process Group: Are you properly tracking the progress of the Data Lake Architecture project and communicating the status to stakeholders?
- Procurement Audit: Are all mutilated and voided checks retained for proper accounting of pre-numbered checks?
- Stakeholder Management Plan: Is the process working, and are people executing in compliance of the process?
- Closing Process Group: How well defined and documented were the Data Lake Architecture project management processes you chose to use?
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
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.