Data Lake Architecture Standard Requirements
- Will the Big Data cloud environment support scale-out, shared-nothing massively parallel processing, storage optimization, dynamic query optimization, and mixed workload management better than alternative deployment models (e.g., on-premises appliances, software on commodity hardware)?
- Are there any further important challenges with respect to data-driven innovation in your organization where measures at national or state level should be put in place (please note: this does not only mean regulatory measures)?
- Do you see specific areas that would benefit from increased interoperability (such as when the same work in areas like data transformation or data integration needs to be done over and over again or is very effort-intensive)?
- How likely is it that a particular approach will reduce the cost of deploying and managing Big Data analytics and maximize the productivity and efficiency of IT operations over the deployments expected useful life?
- Almost every data warehouse project has the same objective: one version of the truth. however, what is data integration worth if there are still many ways most of which are flawed to interpret the data?
- While a move from oracles mysql may be necessary because of its inability to handle key big data use cases, why should that move involve a switch to apache cassandra and datastax enterprise?
- How many predictive analytics functions are measured explicitly on improvement in predictive accuracy, with the CEO keeping an eye on this (retention, acquisition, risk, pricing models) ?
- Will the Big Data cloud environment better support on-demand provisioning, scaling, optimization, and execution of diverse data and analytic resources than alternative deployment models?
- While a move from Oracle's MySQL may be necessary because of its inability to handle key big data use cases, why should that move involve a switch to Apache Cassandra and DataStax Enterprise?
- How likely is it that a particular approach will meet requirements for administration, monitoring, and optimization of the Big Data platform/service over its expected useful life?
Why Own The Data Lake Architecture Self-Assessment?
The Data Lake Architecture Self-Assessment will make you a Data Lake Architecture domain expert by:
Reducing the effort in the Data Lake Architecture work to be done to get problems solved
- Ensuring that plans of action include every Data Lake Architecture task and that every Data Lake Architecture outcome is in place
- Saving time investigating strategic and tactical options and ensuring Data Lake Architecture opportunity costs are low
- Delivering tailored Data Lake Architecture advise instantly with structured going-forward plans
All the tools you need to an in-depth Data Lake Architecture Self-Assessment. Featuring 917 new and updated case-based criteria, 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.
What Is In The Data Lake Architecture Self-Assessment?
The Data Lake Architecture Complete Self-Assessment Excel Dashboard
- Ensures you don't miss anything: 917 criteria in 7 RDMAICS (Recognize, Define, Measure, Analyze, Improve, Control and Sustain) steps with easy and quick navigating and answering for 1 or up to 10 participants
- 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
The Data Lake Architecture Complete Self Assessment eBook version of the book in print
- Provides a convenient way to distribute and share among the participants to prepare and discuss the Self-Assessment
In using the Self-Assessment 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 process design strategies into practice according to best practice guidelines
Assess And Define Data Lake Architecture With This Data Lake Architecture Self Assessment. Sample Questions From The Complete, 917 Criteria, Self-Assessment:
- Recognize Criterion: Does our organization need more Data Lake Architecture education?
- Define Criterion: How can the internet of things represent an innovative use case in our sector?
- Measure Criterion: What is the total cost related to deploying Data Lake Architecture, including any consulting or professional services?
- Analyze Criterion: What other organizational variables, such as reward systems or communication systems, affect the performance of this Data Lake Architecture process?
- Improve Criterion: How do the Data Lake Architecture results compare with the performance of your competitors and other organizations with similar offerings?
- Control Criterion: Is there a Data Lake Architecture Communication plan covering who needs to get what information when?
- Sustain Criterion: How important is Data Lake Architecture to the user organizations mission?
Cost/Benefit Analysis; Data Lake Architecture Self-Assessment Justification And Approval Tools:
Purchasing a The Art of Service Self Assessment will spur new ideas, fast track project strategy and advance your professional skills. We’ve developed a set of criteria that will aid in gaining approval and give you the ability to validate and review your Self-Assessment investment:
- Excluding hired consultants and advisors from top management consulting firms, internal Data Lake Architecture Self-Assessment work is typically undertaken by senior level positions with titles such as Enterprise Architect, Business Process Architects, Business Process Re-engineering Specialists and Business Architects.
Statistics according to Glassdoor and Indeed tell these positions receive an average basic pay of $125,000. Daily rates of basic pay are computed by dividing an employee's annual pay by 260 days. The daily salary is then derived by dividing the annual salary of $125,000 by 260 days = a daily rate of $480.
- Top management consulting firms start at $2,000 a day, with rates typically charged up to 40 hours per week.
For a fraction of this the Self-Assessment will make you a Data Lake Architecture domain authority.
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?'
For more than twenty years, The Art of Service's Self-Assessments empower people who can do just that - whether their title is marketer, entrepreneur, manager, salesperson, consultant, business process manager, executive assistant, IT Manager, CxO etc... - they are the people who rule the future. They are people who watch the process as it happens, and ask the right questions to make the process work better.
Get The Data Lake Architecture Self Assessment That Will Make You A Data Lake Architecture Domain Expert Now.