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Level Up Your Data Platform With Active Metadata

Data Engineering Podcast

Summary Metadata is the lifeblood of your data platform, providing information about what is happening in your systems. In order to level up their value a new trend of active metadata is being implemented, allowing use cases like keeping BI reports up to date, auto-scaling your warehouses, and automated data governance.

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How LinkedIn Adopted A GraphQL Architecture for Product Development

LinkedIn Engineering

Though this microservice architecture has worked out really well for our API engineers, when our clients need to fetch data they find themselves talking to several of these microservices. Addressing partial failures and resilience issues due to multiple network calls in the distributed microservices architecture.

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The Modern Data Lakehouse: An Architectural Innovation

Cloudera

The promise of a modern data lakehouse architecture. This is the promise of the modern data lakehouse architecture. These challenges require architecture changes and adoption of new table formats that can support massive scale, offer greater flexibility of compute engine and data types, and simplify schema evolution. .

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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. Introduction to the Data Mesh Architecture and its Required Capabilities. Introduction to the Data Mesh Architecture.

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How to Manage Risk with Modern Data Architectures

Cloudera

Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs. However, because most institutions lack a modern data architecture , they struggle to manage, integrate and analyze financial data at pace.

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The Top Three Entangled Trends in Data Architectures: Data Mesh, Data Fabric, and Hybrid Architectures

Cloudera

They are being bombarded with literature about seemingly independent new trends like data mesh and data fabric while dealing with the reality of having to work with hybrid architectures. Each of these trends claim to be complete models for their data architectures to solve the “everything everywhere all at once” problem.

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Data Cloud Deployment Framework: Architecture

Cloudyard

Data Architecture discussed in course was in great detail and instead of just going only video and earning Badge, we plan to implement Architecture based on our understanding. Therefore, After going Video, back and forth multiple times I tried to accumulate the different parts in a single architecture slide in simpler way.