Data Architecture

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This is a 4ds big data management phases ppt powerpoint presentation professional. This is a four stage process. The stages in this process are decide, design, discover, deposit.

This is a four phases of big data ppt powerpoint presentation topics. This is a four stage process. The stages in this process are deposit, discover, design, decide.

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The slide shows lifecycle process of data warehousing and the stages it goes through while building it. The slide covers requirement specification, data modelling, ELT design and development, OLAP cubes, UI development, maintenance and test and deployment. Persuade your audience using this Enterprise Data Repository Life Cycle Process Mockup PDF. This PPT design covers seven stages, thus making it a great tool to use. It also caters to a variety of topics including Maintenance, Requirement Specification, Data Modelling. Download this PPT design now to present a convincing pitch that not only emphasizes the topic but also showcases your presentation skills.

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This slide highlights data maturing stages in marketing process. Data maturity level starts with unaware stage where information is provided to leaders and then five stages of data maturity starts with aware stage, reactive, proactive, managed and effective stage. Persuade your audience using this 5 Stages Of Data Maturity In Marketing Mockup PDF. This PPT design covers five stages, thus making it a great tool to use. It also caters to a variety of topics including Reactive, Proactive, Effective. Download this PPT design now to present a convincing pitch that not only emphasizes the topic but also showcases your presentation skills.

This slide showcases checklist for evaluating and selecting suitable cloud service provider based on business health, costing, security requirements etc. Coming up with a presentation necessitates that the majority of the effort goes into the content and the message you intend to convey. The visuals of a PowerPoint presentation can only be effective if it supplements and supports the story that is being told. Keeping this in mind our experts created Effective Data Migration Factor To Consider While Selecting Cloud Service to reduce the time that goes into designing the presentation. This way, you can concentrate on the message while our designers take care of providing you with the right template for the situation. This slide showcases checklist for evaluating and selecting suitable cloud service provider based on business health, costing, security requirements etc.

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This slide showcases the factors of difference between traditional and cloud data center. It includes factors such as pay per use, data security, development rate, services offered and so on. Persuade your audience using this Comparison Of Standard Computing Vs Modern Data Center Mockup PDF. This PPT design covers six stages, thus making it a great tool to use. It also caters to a variety of topics including Development, High Overhead Cost, Cloud Data Center. Download this PPT design now to present a convincing pitch that not only emphasizes the topic but also showcases your presentation skills.

The purpose of this slide is to showcase essential pillars that reflects an organizations strategic direction and desired outcomes in areas related to data management. The pillars include identifying distinct cases, quantify value, improve data capabilities and developing delivery model. Persuade your audience using this Data Governance Plan Four Pillars Ppt Infographics Gridlines PDF. This PPT design covers four stages, thus making it a great tool to use. It also caters to a variety of topics including Identify Distinct Cases, Quantify Value, Improve Data Capabilities. Download this PPT design now to present a convincing pitch that not only emphasizes the topic but also showcases your presentation skills.

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This is a objective of big data ppt powerpoint presentation file design templates. This is a five stage process. The stages in this process are be more responsive to the market, generate additional revenue, improving customer service, combining multiple data sources, analyzing customer behavior.

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