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We’ve Been Using FITT Data Architecture For Many Years, And Honestly, We Can Never Go Back

DataKitchen

TL;DR: Functional, Idempotent, Tested, Two-stage (FITT) data architecture has saved our sanity—no more 3 AM pipeline debugging sessions. We lived this nightmare for years until we discovered something that changed everything about how we approach data engineering. What is FITT Data Architecture? Sound familiar?

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The key to operational AI: Modern data architecture

CIO Business Intelligence

From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. For companies investing in data science, realizing the return on these investments requires embedding AI deeply into business processes.

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Jumia builds a next-generation data platform with metadata-driven specification frameworks

AWS Big Data

In this post, we share part of the journey that Jumia took with AWS Professional Services to modernize its data platform that ran under a Hadoop distribution to AWS serverless based solutions. These phases are: data orchestration, data migration, data ingestion, data processing, and data maintenance.

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Building a Trusted AI Data Architecture: The Foundation of Scalable Intelligence

Teradata

Learn more Check out Teradata AI Factory close Home Resources Data architecture Article Building a Trusted AI Data Architecture: The Foundation of Scalable Intelligence Discover how AI data architecture shapes data quality and governance for successful AI initiatives. What is AI data architecture?

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Modern Data Architecture for Embedded Analytics

Every data-driven project calls for a review of your data architecture—and that includes embedded analytics. Before you add new dashboards and reports to your application, you need to evaluate your data architecture with analytics in mind. 9 questions to ask yourself when planning your ideal architecture.

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Why a data-first culture is key to unlocking value from AI in insurance

CIO Business Intelligence

Data is the lifeblood of the modern insurance business. Yet, despite the huge role it plays and the massive amount of data that is collected each day, most insurers struggle when it comes to accessing, analyzing, and driving business decisions from that data. There are lots of reasons for this.

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How Stifel built a modern data platform using AWS Glue and an event-driven domain architecture

AWS Big Data

In this post, we show you how Stifel implemented a modern data platform using AWS services and open data standards, building an event-driven architecture for domain data products while centralizing the metadata to facilitate discovery and sharing of data products.

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The Next-Generation Cloud Data Lake: An Open, No-Copy Data Architecture

In an effort to be data-driven, many organizations are looking to democratize data. However, they often struggle with increasingly larger data volumes, reverting back to bottlenecking data access to manage large numbers of data engineering requests and rising data warehousing costs.