Remove Customer Analytics Remove Data Integration Remove Reference
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The Race For Data Quality in a Medallion Architecture

DataKitchen

This stage involves validation, deduplication, and merging of data from different sources, ensuring that the data is in a more consistent and reliable format. For instance, records may be cleaned up to create unique, non-duplicated transaction logs, master customer records, and cross-reference tables.

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How Cloudera Data Flow Enables Successful Data Mesh Architectures

Cloudera

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. The post How Cloudera Data Flow Enables Successful Data Mesh Architectures appeared first on Cloudera Blog.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Data exploration Data exploration helps unearth inconsistencies, outliers, or errors.

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Building Robust Data Pipelines: 9 Fundamentals and Best Practices to Follow

Alation

Data is a valuable resource, especially in the world of business. A McKinsey survey found that companies that use customer analytics intensively are 19 times higher to achieve above-average profitability. But with the sheer amount of data continually increasing, how can a business make sense of it? Robust data pipelines.

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Data virtualization unifies data for seamless AI and analytics

IBM Big Data Hub

Data integration stands as a critical first step in constructing any artificial intelligence (AI) application. While various methods exist for starting this process, organizations accelerate the application development and deployment process through data virtualization.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 2: Cloud Adoption

BizAcuity

Reasons may vary from business to business but integration is the cornerstone for customer success. With cloud data integration, it gets easier to make reports across departments and data storage will never be an issue. Medium and large enterprises could benefit from integrating all their data on the cloud.

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Building Robust Data Pipelines: 9 Fundamentals and Best Practices to Follow

Alation

Data is a valuable resource, especially in the world of business. A McKinsey survey found that companies that use customer analytics intensively are 19 times higher to achieve above-average profitability. But with the sheer amount of data continually increasing, how can a business make sense of it? Robust data pipelines.