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

Data Observability Tools: Types, Capabilities, and Notable Solutions

Databand.ai

What Are Data Observability Tools? Data observability tools are software solutions that oversee, analyze, and improve the performance of data pipelines. Ensuring Data Quality Data accuracy is a critical factor in the success of any analytics or machine learning initiative.

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
Insiders

Sign Up for our Newsletter

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

article thumbnail

[O’Reilly Book] Chapter 1: Why Data Quality Deserves Attention Now

Monte Carlo

As the data analyst or engineer responsible for managing this data and making it usable, accessible, and trustworthy, rarely a day goes by without having to field some request from your stakeholders. But what happens when the data is wrong? In our opinion, data quality frequently gets a bad rep.

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.

Building 278
article thumbnail

How to become Azure Data Engineer I Edureka

Edureka

Azure Data Engineers use a variety of Azure data services, such as Azure Synapse Analytics, Azure Data Factory, Azure Stream Analytics, and Azure Databricks, to design and implement data solutions that meet the needs of their organization. Gain hands-on experience using Azure data services.

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

Making Email Better With AI At Shortwave

Data Engineering Podcast

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines. Data lakes are notoriously complex. Go to dataengineeringpodcast.com/dagster today to get started.

Data Lake 182