- Data Science & Analytics Industry Main Developments in 2021 and Key Trends for 2022 - Dec 14, 2021.
We have solicited insights from experts at industry-leading companies, asking: "What were the main AI, Data Science, Machine Learning Developments in 2021 and what key trends do you expect in 2022?" Read their opinions here.
2022 Predictions, AI, Analytics, Cloud, Data Lake, Data Science, Data Warehouse, Deep Learning, Machine Learning, Synthetic Data
- Cartoon: How Deep Is That Data Lake? - Oct 2, 2021.
New KDnuggets Cartoon looks at some of the problems data engineers may encounter when trying to measure data lakes.
Cartoon, Data Engineer, Data Lake
- Feature Store as a Foundation for Machine Learning - Feb 19, 2021.
With so many organizations now taking the leap into building production-level machine learning models, many lessons learned are coming to light about the supporting infrastructure. For a variety of important types of use cases, maintaining a centralized feature store is essential for higher ROI and faster delivery to market. In this review, the current feature store landscape is described, and you can learn how to architect one into your MLOps pipeline.
Data Engineering, Data Infrastructure, Data Lake, Feature Engineering, Feature Store, Machine Learning, Metadata, MLOps, Pipeline
- Data Lake Plumbers: Operationalizing the Data Lake - Feb 18, 2016.
Gain insight into data lakes, their benefits, when they are appropriate, and how to operationalize them. How do they compare to the data warehouse?
Data Lake, Data Warehouse, ETL, Hadoop
- Data Lake vs Data Warehouse: Key Differences - Sep 29, 2015.
We hear lot about the data lakes these days, and many are arguing that a data lake is same as a data warehouse. But in reality, they are both optimized for different purposes, and the goal is to use each one for what they were designed to do.
Data Lake, Data Warehouse, SAS, Tamara Dull
- Five Steps to Implement an Enterprise Data Lake - Aug 10, 2015.
This guide helps you to initiate a new IT culture mapped to your business goals, and shows how do create an efficient data reservoir, what makes data more useful, and what are the cutting-edge tools/devices/applications you need.
Data Lake, Impetus
