Remove Data Pipeline Remove DataOps Remove Document
article thumbnail

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

Iguazio

Multi-Modal : Alongside structured data, there's a growing need for semi-structured and unstructured data in gen AI applications. MongoDB's multi-modal document model allows you to handle diverse data types, including documents, network/knowledge graph, geospatial data, and time series data, and to process them.

AI 132
article thumbnail

Data Profiling: What It Is and How to Perfect It

Alation

This, in turn, helps them to build new data pipelines, solutions, and products, or clean up the data that’s there. It bears mentioning data profiling has evolved tremendously. Data migration Digital transformation is ongoing. To achieve this, these developers need to build data pipelines that migrate data.

article thumbnail

What Is Data Observability and Why You Need It?

Precisely

Systems and data sources are more interconnected than ever before. A broken data pipeline might bring operational systems to a halt, or it could cause executive dashboards to fail, reporting inaccurate KPIs to top management. Data observability is a foundational element of data operations (DataOps).