ETL Data Lineage Powerpoint Presentation Slides
Our ETL Data Lineage PowerPoint Presentation offers insights into the key processes and the role of metadata. It provides a concise overview of data lineage, covering its types, significance, techniques, and relationship with data governance. Additionally, the ETL Data Lineage PPT compares coarse-grained and fine-grained data lineage and their connection with data governance. It emphasizes the importance of data lineage, highlighting its impact in critical areas and benefits. Furthermore, the Data Lineage Importance PPT delves into various types of data lineage based on documentation methods, technique choices, etc. It covers data lineage tools and techniques such as parsing, data tagging, and more. Moreover, the Data Lineage Types template showcases real-world use cases of data lineage, its application in various sectors, implementation scope, training considerations, and cost analysis. Lastly, the Data Lineage Techniques deck explores the future of data lineage technology, provides a 30-60-90 days plan and a roadmap, and presents a case study focused on a commercial bank. You can download our 100 percent customizable template now.
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Enthrall your audience with this ETL Data Lineage Powerpoint Presentation Slides. Increase your presentation threshold by deploying this well-crafted template. It acts as a great communication tool due to its well-researched content. It also contains stylized icons, graphics, visuals etc, which make it an immediate attention-grabber. Comprising ninety slides, this complete deck is all you need to get noticed. All the slides and their content can be altered to suit your unique business setting. Not only that, other components and graphics can also be modified to add personal touches to this prefabricated set.
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Content of this Powerpoint Presentation
Slide 1: This slide introduces ETL Data Lineage. State your company name and begin.
Slide 2: This is an Agenda slide. State your agendas here.
Slide 3: This slide shows Table of Content for the presentation.
Slide 4: This slide also shows Table of Content for the presentation.
Slide 5: This slide shows title for topics that are to be covered next in the template.
Slide 6: This slide presents the introduction to data lineage.
Slide 7: This slide outlines the five ‘W’s of the data lineage system.
Slide 8: This slide presents the three key processes of data lineage.
Slide 9: This slide describes the role of metadata in the data lineage process.
Slide 10: This slide represents the components of data lineage technology.
Slide 11: This slide shows title for topics that are to be covered next in the template.
Slide 12: This slide depicts the comparison between coarse-grained and fine-grained data lineage.
Slide 13: This slide shows title for topics that are to be covered next in the template.
Slide 14: This slide depicts the overview of data provenance.
Slide 15: This slide represents the data lineage and data provenance.
Slide 16: This slide gives an overview of graph data lineage visualization.
Slide 17: This slide represents the relationship between data lineage and data governance.
Slide 18: This slide shows title for topics that are to be covered next in the template.
Slide 19: This slide presents how data lineage can help to understand data better.
Slide 20: This slide describes the key areas where data lineage can have a significant impact.
Slide 21: This slide presents the regulatory, business and technology benefits of data lineage.
Slide 22: This slide depicts the importance of data lineage for different users such as ETL.
Slide 23: This slide shows title for topics that are to be covered next in the template.
Slide 24: This slide presents the primary types of data lineage.
Slide 25: This slide describes the type of data lineage based on the method of documentation.
Slide 26: This slide presents the types of data lineage based on the choice of technique.
Slide 27: This slide describes the type of data lineage based on persona-specific use.
Slide 28: This slide outlines the multi-layered data lineage type.
Slide 29: This slide shows title for topics that are to be covered next in the template.
Slide 30: This slide presents the essential open-source data lineage tools to trace data modifications.
Slide 31: This slide describes the features of data lineage tools.
Slide 32: This slide represents the criteria tips for evaluating data lineage tools.
Slide 33: This slide describes the working process of the data lineage system.
Slide 34: This slidea lso describes how the data lineage system works.
Slide 35: This slide shows title for topics that are to be covered next in the template.
Slide 36: This slide represents the overview of data lineage by parsing technique.
Slide 37: This slide talks about the lineage by data tagging technique.
Slide 38: This slide outlines the pattern-based data lineage technique.
Slide 39: This slide depicts the overview of the self-contained data lineage technique.
Slide 40: This slide shows title for topics that are to be covered next in the template.
Slide 41: This slide presents how data lineage improves data quality by identifying data quality issues.
Slide 42: This slide describes how data lineage simplifies the data operations (DataOps).
Slide 43: This slide depicts the use cases of data lineage for business users, data engineers, and data governance users.
Slide 44: This slide outlines the typical use cases of data lineage.
Slide 45: This slide shows title for topics that are to be covered next in the template.
Slide 46: This slide depicts the data lineage for the company’s management.
Slide 47: This slide talks about the data lineage for business people.
Slide 48: This slide showcases the importance of data lineage for data management professionals.
Slide 49: This slide covers the importance of data lineage for technical experts.
Slide 50: This slide shows title for topics that are to be covered next in the template.
Slide 51: This slide presents the horizontal, vertical and physical lineage that defines the scope of data lineage.
Slide 52: This slide describes the scope of the data lineage process.
Slide 53: This slide depicts the descriptive and automated data lineage methods of documentation.
Slide 54: This slide shows how businesses can employ data lineage throughout their organizations.
Slide 55: This slide shows title for topics that are to be covered next in the template.
Slide 56: This slide represents the real-world applications of data lineage in different industries.
Slide 57: This slide shows title for topics that are to be covered next in the template.
Slide 58: This slide describes the best practices of data lineage.
Slide 59: This slide depicts the reference architecture for building passive data lineage system in an organization.
Slide 60: This slide presents the management workflow of the data lineage system.
Slide 61: This slide describes the steps to implement data lineage in business.
Slide 62: This slide outlines the steps to implement data lineage in business.
Slide 63: This slide presents the process of achieving data lineage at various phases of the data pipelines.
Slide 64: This slide describes the extraction process for data lineage from start to end.
Slide 65: This slide shows title for topics that are to be covered next in the template.
Slide 66: This slide represents the data lineage training program for employees.
Slide 67: This slide describes the implementation cost of data lineage.
Slide 68: This slide shows title for topics that are to be covered next in the template.
Slide 69: This slide describes the visualization data lineage of Spark jobs.
Slide 70: This slide shows title for topics that are to be covered next in the template.
Slide 71: This slide represents the future of data lineage technology.
Slide 72: This slide shows title for topics that are to be covered next in the template.
Slide 73: This slide depicts the 30-60-90 days plan for implementing data lineage in the organization.
Slide 74: This slide shows title for topics that are to be covered next in the template.
Slide 75: This slide depicts the roadmap for implementing data lineage in the company.
Slide 76: This slide shows title for topics that are to be covered next in the template.
Slide 77: This slide outlines the data lineage case study carried out in a commercial bank.
Slide 78: This slide describes the client organization's challenges and objectives.
Slide 79: This slide represents the key initiatives taken to solve the bank's challenges.
Slide 80: This slide shows all the icons included in the presentation.
Slide 81: This slide is titled as Additional Slides for moving forward.
Slide 82: This is About Us slide to show company specifications etc.
Slide 83: This is Our Vision, Mission & Goal slide.
Slide 84: This is a Timeline slide. Show data related to time intervals here.
Slide 85: This slide depicts Venn diagram with text boxes.
Slide 86: This slide provides 30 60 90 Days Plan with text boxes.
Slide 87: This slide shows Circular Diagram with additional textboxes.
Slide 88: This slide shows Post It Notes for reminders and deadlines. Post your important notes here.
Slide 89: This slide contains Puzzle with related icons and text.
Slide 90: This is a Thank You slide with address, contact numbers and email address.
ETL Data Lineage Powerpoint Presentation Slides with all 95 slides:
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FAQs
The five 'W's of the data lineage system are outlined as who, what, when, where, and why, which are key aspects of understanding the origin, transformation, and movement of data within a system.
The three key processes of data lineage include data capture, data transformation, and data storage. Each process plays a crucial role in tracking and documenting the lineage of data.
Metadata provides valuable information about the data, such as its source, format, quality, and transformations applied. It helps in understanding and tracing the lineage of data across various stages.
The components of data lineage technology typically include data extraction tools, data transformation tools, data storage systems, metadata management tools, and data visualization tools. These components work together to enable effective data lineage tracking.
Data lineage helps in understanding data better by tracing the origin, transformation, and movement of data. It provides insights into data quality, reliability, and accuracy, allowing users to understand the data's context, dependencies, and relationships for improved decision-making and data-driven insights.
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Awesome presentation, really professional and easy to edit.