Remove Data Governance Remove Data Lake Remove High Quality Data Remove Machine Learning
article thumbnail

Build A Data Lake For Your Security Logs With Scanner

Data Engineering Podcast

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. And Starburst does all of this on an open architecture with first-class support for Apache Iceberg, Delta Lake and Hudi, so you always maintain ownership of your data.

Data Lake 147
article thumbnail

Data Fabric: The Future of Data Architecture

Monte Carlo

These include: Seamless integration A data fabric’s ability to integrate seamlessly with various APIs and software-delivery kits (SDKs) truly differentiates this framework from another type of data management: the ubiquitous data lake. That’s a model worth looking at when it comes to data governance,” says Bob.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Data Fabric: The Future of Data Architecture

Monte Carlo

These include: Seamless integration A data fabric’s ability to integrate seamlessly with various APIs and software-delivery kits (SDKs) truly differentiates this framework from another type of data management: the ubiquitous data lake. That’s a model worth looking at when it comes to data governance,” says Bob.

article thumbnail

Zenlytic Is Building You A Better Coworker With AI Agents

Data Engineering Podcast

Data lakes are notoriously complex. The Machine Learning Podcast helps you go from idea to production with machine learning. If you've learned something or tried out a project from the show then tell us about it! Data lakes are notoriously complex. Want to see Starburst in action?

Building 147
article thumbnail

Data Observability Tools: Types, Capabilities, and Notable Solutions

Databand.ai

Ensuring Data Quality Data accuracy is a critical factor in the success of any analytics or machine learning initiative. Low-quality data can result in incorrect insights and decision-making, ultimately impacting business outcomes.

article thumbnail

Using Trino And Iceberg As The Foundation Of Your Data Lakehouse

Data Engineering Podcast

Summary A data lakehouse is intended to combine the benefits of data lakes (cost effective, scalable storage and compute) and data warehouses (user friendly SQL interface). Data lakes are notoriously complex. The Machine Learning Podcast helps you go from idea to production with machine learning.

Data Lake 262
article thumbnail

Barking Up The Wrong GPTree: Building Better AI With A Cognitive Approach

Data Engineering Podcast

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

Building 147