Remove Customer Analytics Remove Data Governance Remove Data Lake Remove Modeling
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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. The AWS modern data architecture shows a way to build a purpose-built, secure, and scalable data platform in 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.

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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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Announcing the 2021 Data Impact Awards

Cloudera

We welcome organizations that have built and deployed use cases for enterprise-scale machine learning and have industrialized AI to automate, secure, and optimize data-driven decision-making and/or applications to enter this category. Read more about last years Data Impact Award winners. HYBRID & MULTI-CLOUD INNOVATION.

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How Cloudera Data Flow Enables Successful Data Mesh Architectures

Cloudera

The need for a decentralized data mesh architecture stems from the challenges organizations faced when implementing more centralized data management architectures – challenges that can attributed to both technology (e.g., need to integrate multiple “point solutions” used in a data ecosystem) and organization reasons (e.g.,

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