Drive Big Data Architecture: prototype custom Big Data applications using scalable cloud/GPU platforms.
More Uses of the Big Data Architecture Toolkit:
- Ensure you know on how to create performance applications which can handle Big Data and user loads.
- Overhaul you invest in your success and you own it, all while working alongside a team of leading experts who inspire you in ways big and small.
- Evaluate Big Data Architecture: design and implement distributed Data Processing pipelines using tools and languages prevalent in the Big Data ecosystem.
- Guide Big Data Architecture: design, develop, validate, and deploy analytical solutions using machinE Learning and Statistical Modeling on apache Hadoop and spark based Big Data platform.
- Ensure you instruct; lead internal and client teams to drive transformation programs around Business Analytics, Big Data and Cloud Solutions, Data Warehousing, Visual Stories, Predictive Analytics, and Data Governance.
- Be accountable for delivering Big Data solutions.
- Ensure you think big to continuously build new products and services that enable your people and business to grow.
- Ensure all this has helped you become the first network to hold the big six Media Network of the Year titles concurrently.
- Warrant that your business evaluates and implements data solutions with various Big Data technologies.
- Coordinate with the Database Administration group to ensure day to day activities (statistics collection and reporting) are performing in the most efficient manner (Data Warehouse and Big Data environments).
- Unite implement Advanced Analytics solutions using Big Data technologies.
- Ensure you do cument; lead Big Data technologies are plus.
- Establish that your strategy develops and supports Information security solutions for Unix/Linux, Mainframe z/OS, Windows, and mobile, Big Data and cloud platforms.
- Develop the vision and Technology Roadmap for the Big Data Security, Compliance, Privacy and Governance team.
- Provide leadership to the team on Best Practices and architecture in Big Data systems and MachinE Learning pipelines.
- Ensure you charter; implemented ETL and Big Data solutions in the past.
- Manage Big Data Architecture: from Big Data Analytics, to cognitive digital twins and Data Driven strategy consulting and startup acceleration work to make your customers even more successful.
- Supervise Big Data Architecture: hadoop, NoSQL, ETL, streaming, machinE Learning or other Big Data/analytics technology.
- Develop new ways of delivering business value open APIs, Artificial intelligence, Chatbots, machinE Learning, Big Data.
- Be accountable for delivering high end Solutions using Big Data Technologies.
- Manage work with client to drive transformation programs around Business Analytics, Big Data and Cloud Solutions, Data Warehousing, Visual Stories, Predictive Analytics, and Data Governance.
- Confirm your design complies; activities could fall in the areas of Data Governance, Business Intelligence, reporting, Data Warehouse, Big Data, Data Visualization and/or analytics.
- Utilize your big picture and Systems Thinking skills to design an internal and external engagement strategy related to sustainability, circularity, and carbon neutrality.
- Govern Big Data Architecture: conduct research on emerging Data Integration products, languages, and standards in support of procurement, development, security, and integration efforts in relation to the cloud, BI, and Big Data management.
- Ensure you liaise; understand Big Data principles and Best Practices.
- Ensure you mobilize; lead internal and client teams to drive transformation programs around Business Analytics, Big Data and Cloud Solutions, Data Warehousing, Visual Stories, Predictive Analytics, and Data Governance.
- Oversee Big Data Architecture: from virtualized telecommunications networks, Big Data and Internet Of Things to mobile Financial Services, billing and Operational Support Systems, you are continually evolving your business to help you become more connected.
- Manage you as you help your clients solve big problems and shape the future of work.
- Lead internal and client teams to drive transformation programs around Business Analytics, Big Data and Cloud Solutions, Data Warehousing, Visual Stories, Predictive Analytics, and Data Governance.
- Manage advanced knowledge with analytics tools, Big Data technologies, Cloud Computing environments, relational database.
- Develop new and apply established Data Analysis / modeling techniques to create services for better Data Classification, recommendation systems, and proactive detection of data problems.
- Lead IT Network Infrastructure project design, review and ensure Network Architecture goals and requirements and met.
- Establish Big Data Architecture: Cybersecurity challenges are different for every business in every industry.
Save time, empower your teams and effectively upgrade your processes with access to this practical Big Data Architecture Toolkit and guide. Address common challenges with best-practice templates, step-by-step Work Plans and maturity diagnostics for any Big Data 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 Big Data Architecture specific requirements:
STEP 1: Get your bearings
Start with...
- The latest quick edition of the Big Data 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 999 new and updated case-based questions, organized into seven core areas of Process Design, this Self-Assessment will help you identify areas in which Big Data Architecture improvements can be made.
Examples; 10 of the 999 standard requirements:
- Are your outputs consistent?
- What is the definition of Big Data Architecture excellence?
- Who needs budgets?
- Is the Big Data Architecture organization completing tasks effectively and efficiently?
- Who needs to know?
- What one word do you want to own in the minds of your customers, employees, and partners?
- Has a cost center been established?
- Are risk triggers captured?
- Do you verify that Corrective Actions were taken?
- How can you incorporate support to ensure safe and effective use of Big Data Architecture into the services that you provide?
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 Big Data Architecture book in PDF containing 994 requirements, which criteria correspond to the criteria in...
Your Big Data 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 Big Data Architecture Self-Assessment and Scorecard you will develop a clear picture of which Big Data 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 Big Data 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 Big Data Architecture projects with the 62 implementation resources:
- 62 step-by-step Big Data Architecture Project Management Form Templates covering over 1500 Big Data Architecture project requirements and success criteria:
Examples; 10 of the check box criteria:
- Cost Management Plan: Eac -estimate at completion, what is the total job expected to cost?
- Activity Cost Estimates: In which phase of the Acquisition Process cycle does source qualifications reside?
- Project Scope Statement: Will all Big Data Architecture project issues be unconditionally tracked through the Issue Resolution process?
- Closing Process Group: Did the Big Data Architecture Project Team have enough people to execute the Big Data Architecture project plan?
- Source Selection Criteria: What are the guidelines regarding award without considerations?
- Scope Management Plan: Are Corrective Actions taken when actual results are substantially different from detailed Big Data Architecture project plan (variances)?
- Initiating Process Group: During which stage of Risk planning are risks prioritized based on probability and impact?
- Cost Management Plan: Is your organization certified as a supplier, wholesaler, regular dealer, or manufacturer of corresponding products/supplies?
- Procurement Audit: Was a formal review of tenders received undertaken?
- Activity Cost Estimates: What procedures are put in place regarding bidding and cost comparisons, if any?
Step-by-step and complete Big Data Architecture Project Management Forms and Templates including check box criteria and templates.
1.0 Initiating Process Group:
- 1.1 Big Data Architecture project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Big Data 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 Big Data 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 Big Data 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 Big Data 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 Big Data 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 Big Data Architecture project with this in-depth Big Data Architecture Toolkit.
In using the Toolkit you will be better able to:
- Diagnose Big Data 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 Big Data 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 Big Data Architecture investments work better.
This Big Data 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.