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Big data governance pyramid with landing area data lake workspace and warehouse

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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

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