Remove Analytics Remove Data Modeling Remove DataOps
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DataOps vs. DevOps: What’s the Difference?

Alation

DataOps and DevOps are two distinctly different pursuits. But where DevOps focuses on product development, DataOps aims to reduce the time from data need to data success. At its best, DataOps shortens the cycle time for analytics and aligns with business goals. What is DataOps? What is DevOps?

DataOps 59
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Building and Scaling Gen AI Applications with Simplicity, Performance and Risk Mitigation in Mind Using Iguazio (acquired by McKinsey) and MongoDB

Iguazio

MongoDB for end-to-end AI data management MongoDB Atlas , an integrated suite of data services centered around a multi-cloud NoSQL database, enables developers to unify operational, analytical, and AI data services to streamline building AI-enriched applications.

AI 132
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9 data governance strategies that will unlock the potential of your business data

IBM Journey to AI blog

Value realization Good data governance aims to maximize the value of data as a strategic asset, enhancing decision-making, big data analytics , machine learning and artificial intelligence projects. These tools make metadata accessible, helping users understand and use data more effectively.

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phData Awarded dbt Labs’ 2024 Partner of the Year

phData

Throughout our work, phData has boasted a 98 percent average renewal rate for phData Elastic Operations, DataOps, and MLOps. Here’s a closer look at how we do it: Data Strategy: Our team identifies the best-suited technology stack for each client, creating an actionable data strategy roadmap.

DataOps 52
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phData Awarded dbt Labs’ 2023 Partner of the Year

phData

Below are five of our most popular dbt resources: Is dbt a Good Tool for Implementing Data Models? Throughout our work, phData has boasted a 98 percent average renewal rate for phData Elastic Operations, DataOps, and MLOps. Best Practices: We want our clients to own their data and to take care of it.

DataOps 52
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Understanding Zero-Code Development Life Cycle in Matillion

phData

Practices centered on software engineering principles can create a barrier to entry for teams with skilled data wranglers looking to take their infrastructure to the next level with cloud-native tools like Matillion for the Snowflake Data Cloud. An analytics program’s maturity curve is not navigated by all members at the same rate.

ETL 52