Big data governance pyramid with landing area data lake workspace and warehouse
The sheer volume of the data makes Big Data analysis presentation a challenge. We present this Big Data Governance Pyramid with Landing Area Data Lake Workspace and Warehouse PowerPoint slide which will help you in big data management. With the help of this template, you can organize, administer and govern volumes of structured and unstructured data. The smart art image of a pyramid has four levels. These levels are dedicated to big data warehouse, data science workforce, data lake – integrated sandbox and landing area – source data at the base. Data Lake which is a Hadoop – based data repository which manages the supply and demand of big data is very important for big data governance has been incorporated in the PPT. Also, a data warehouse which is a blend of technologies and components and allows the strategic use of data is crucial aspect of the template. Simply download, add content and present! Ensure no important factor is forgotten with our Big Data Governance Pyramid With Landing Area Data Lake Workspace And Warehouse. Be certain to include every angle.
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Presenting Big Data Governance Pyramid with Landing Area Data Lake Workspace and Warehouse PPT slide. This presentation diagram has been professionally designed and is fully editable in PowerPoint. You can customize the font type, font size, colors of the diagram, background color and add the company logo. Also, replace the dummy content in text placeholders with your presentation content. The slide is fully compatible with Google slides. High quality graphics and icons ensure that there is no deteriorating in quality on enlarging their size. Fast download at click of a button.
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Content of this Powerpoint Presentation
Description:
The image presents a "Big Data Governance Pyramid with Landing Area," illustrating the hierarchy and process flow of data governance and management in an organization. Each level of the pyramid represents a stage in the data handling process, with different roles and goals.
Starting from the bottom (level 01), we have "Raw machine data collection, collect everything," indicating the initial stage where raw data is gathered from various sources without filtering, representing the data in its most unrefined form.
Level 02, labeled "Data Lake-Integrated Sandbox," suggests an intermediate storage area for the raw data where it might be slightly processed or experimented with, offering a flexible environment for data exploration and preliminary analysis.
Continuing upward to level 03, the next step refers to the "Data Science Workforce," indicating the personnel involved in more advanced analytics, machine learning, and data science tasks that turn raw data into actionable insights.
At the top (level 04), we have "User Community Arbitrary Queries and Reporting," representing the end-users or business analysts who perform diverse queries and generate reports from the curated and processed data typically stored in a data warehouse.
Two additional elements flank the pyramid: on the left, "Landing Area – Source Data in 'Fully Fidelity'," points out the initial data collection area that maintains complete data integrity. On the right, comments on "Metadata: Catalog, ILM: Who Has Access, How Long Do We 'Making It'," emphasize the importance of maintaining a catalog of metadata (data about the data) and information lifecycle management (ILM) concerning access control and data preservation.
Each stage is marked with "This slide is 100% editable. Adapt it to your needs and capture your audience's attention," suggesting the slide's customizable nature for different presentations.
Use Cases:
Here are seven industries where these slides can be applicable:
1. Technology:
Use: Explaining data management strategies
Presenter: CTO or Data Architect
Audience: IT department staff
2. Finance:
Use: Understanding data governance for compliance
Presenter: Compliance Officer
Audience: Risk Management Team
3. Healthcare:
Use: Management of patient data and research data
Presenter: Healthcare Data Manager
Audience: Hospital Administrators and Medical Staff
4. Retail:
Use: Optimizing data utilization for market analysis
Presenter: Market Analyst
Audience: Marketing and Sales Teams
5. Manufacturing:
Use: Streamlining data flow for improved production efficiency
Presenter: Operations Manager
Audience: Production and Process Engineers
6. Government:
Use: Data policy making and open data initiatives
Presenter: Policy Advisor
Audience: Government Officials and Public Administrators
7. Education:
Use: Research data governance and analytics
Presenter: University Research Director
Audience: Academic Researchers and Faculty Members
Big data governance pyramid with landing area data lake workspace and warehouse with all 5 slides:
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