Build a Data Pipeline for Reporting and Analytics – Phase 3: Select Data Design Patterns

This phase of the blueprint, Build a Data Pipeline for Reporting and Analytics, will help you select the appropriate data design patterns for your data pipeline components.

Build a Data Pipeline for Reporting and Analytics – Phase 2: Identify Data Pipeline Components

This phase of the blueprint, Build a Data Pipeline for Reporting and Analytics, will help you identify data pipeline components.

Build a Data Pipeline for Reporting and Analytics – Phase 1: Understand Data Progression

This phase of the blueprint, Build a Data Pipeline for Reporting and Analytics, will help you understand the data progression across major business capabilities.

Build a Data Pipeline for Reporting and Analytics – Phases 1-3

This storyboard will help you understand how to build your data pipeline using the most appropriate data design patterns.

Build a Data Pipeline for Reporting and Analytics – Executive Brief

Read this Executive Brief to understand why it is important to switch from squeezing all your data management activities into the enterprise data warehouse environment to...

Build a Data Pipeline for Reporting and Analytics

Data management has distinct phasing. Fitting all phases inside a single data warehouse environment creates an unmanageable monster. Instead, think of creating a...
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Design Data-as-a-Service – Phases 1-3

Data marketplaces facilities data sharing between the data producer and the data consumer. The data product must be carefully designed to truly benefit in today’s...

Design Data-as-a-Service – Phase 3: Establish a DaaS Framework

This phase will provide a step-by-step guide to capture internal and external data sources critical to data products success for the organization and document end to end...

Design Data-as-a-Service – Phase 2: Design Data Product

This phase will leverage design thinking methodology and templates to document your most important data products.

Design Data-as-a-Service

The current model of point-to-point data exchange internally and externally is simply not secure, fast, flexible, or consistent. This prevents individuals and...
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