Azure technologies as Azure Data Lake, and Databricks.
More Uses of the Azure Data Lake Toolkit:
- Formulate: Azure Data Lake domain expertise.
- Control: Azure Data Lake and Azure Data Lake analytics.
- Pilot: Azure Data Lake technologies.
Save time, empower your teams and effectively upgrade your processes with access to this practical Azure Data Lake Toolkit and guide. Address common challenges with best-practice templates, step-by-step Work Plans and maturity diagnostics for any Azure Data Lake 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 Azure Data Lake specific requirements:
STEP 1: Get your bearings
- The latest quick edition of the Azure Data Lake 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 726 new and updated case-based questions, organized into seven core areas of Process Design, this Self-Assessment will help you identify areas in which Azure Data Lake improvements can be made.
Examples; 10 of the 726 standard requirements:
- Does your organization expect the vendors to ensure that all the network hardware has the latest software patches, etc. as part of the infrastructure monitoring/Network Administration?
- 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?
- Is the customer or employee staying on the network far longer than usual, or visiting new and different parts of the network, or engaging in activities uncharacteristic of prior use?
- 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 new analytical possibilities would open up for your organization if you aggregated all available data into a central Data Lake for in depth and ongoing analysis?
- 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?
- Does your organization lack an overall Data Strategy, have insufficient technical skills, limited understanding of effective Data Management or security concerns?
- How does your organization match instance types and sizes to workload performance and capacity requirements while still ticking the box of lowest possible cost?
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 Azure Data Lake book in PDF containing 726 requirements, which criteria correspond to the criteria in...
Your Azure Data Lake 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 Azure Data Lake Self-Assessment and Scorecard you will develop a clear picture of which Azure Data Lake 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 Azure Data Lake 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 Azure Data Lake projects with the 62 implementation resources:
- 62 step-by-step Azure Data Lake Project Management Form Templates covering over 1500 Azure Data Lake project requirements and success criteria:
Examples; 10 of the check box criteria:
- Activity Duration Estimates: Which would be the NEXT thing for the Azure Data Lake Project Manager to do?
- Quality Management Plan: What are your organizations current levels and trends for the already stated measures related to financial and marketplace performance?
- Quality Audit: Is the continuing professional education of key personnel account fored in detail?
- Project Schedule: It allows the Azure Data Lake project to be delivered on schedule. How Do you Use Schedules?
- Procurement Audit: Do procurement staff, supplier and end user communicate properly?
- Responsibility Assignment Matrix: Detailed schedules which support control account and work package start and completion dates/events?
- Team Member Performance Assessment: Where can team members go for more detailed information on performance measurement and assessment?
- Human Resource Management Plan: Were Azure Data Lake project team members involved in detailed estimating and scheduling?
- Stakeholder Management Plan: Is there an on-going process in place to monitor Azure Data Lake project risks?
- Process Improvement Plan: Purpose of goal: the motive is determined by asking, why do you want to achieve this goal?
1.0 Initiating Process Group:
2.0 Planning Process Group:
- 2.1 Azure Data Lake Project Management Plan
- 2.2 Scope Management Plan
- 2.3 Requirements Management Plan
- 2.4 Requirements Documentation
- 2.5 Requirements Traceability Matrix
- 2.6 Azure Data Lake 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 Azure Data Lake 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 Azure Data Lake 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 Azure Data Lake project or Phase Close-Out
- 5.4 Lessons Learned
In using the Toolkit you will be better able to:
- Diagnose Azure Data Lake 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 Azure Data Lake 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 Azure Data Lake investments work better.
This Azure Data Lake 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.