Remove Data Lakes Remove Data Observability Remove SQL
article thumbnail

AI that’s ready for business starts with data that’s ready for AI

IBM Journey to AI blog

This includes integration with your data warehouse engines, which now must balance real-time data processing and decision-making with cost-effective object storage, open source technologies and a shared metadata layer to share data seamlessly with your data lakehouse.

AI 45
article thumbnail

MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

LakeFS LakeFS is an open-source platform that provides data lake versioning and management capabilities. It sits between the data lake and cloud object storage, allowing you to version and control changes to data lakes at scale. Notebook for interactive Python, SQL, and R editors for coding data pipelines.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Build Data Pipelines: Comprehensive Step-by-Step Guide

Pickl AI

Organisations leverage diverse methods to gather data, including: Direct Data Capture: Real-time collection from sensors, devices, or web services. Database Extraction: Retrieval from structured databases using query languages like SQL. NoSQL Databases: Flexible, scalable solutions for unstructured or semi-structured data.

article thumbnail

Alation Earns 8 Top Rankings in BARC’s The Data Management Survey 23

Alation

The report states that 35 percent use it to support data warehousing / BI and the same percentage for data lake processes. “It It is focused on extending the platform and functional apps… Its Open Data Quality /Observability Initiative integrate[s] with third parties in order to provide comprehensive functionality (e.g.,