Pickl AI

JUNE 7, 2024

Summary: Choosing the right ETL tool is crucial for seamless data integration. Top contenders like Apache Airflow and AWS Glue offer unique features, empowering businesses with efficient workflows, high data quality, and informed decision-making capabilities. Also Read: Top 10 Data Science tools for 2024.

ETL 40

ETL Data Quality Data Pipeline Data Warehouse 40

Precisely

JUNE 6, 2023

At Precisely’s Trust ’23 conference, Chief Operating Officer Eric Yau hosted an expert panel discussion on modern data architectures. The group kicked off the session by exchanging ideas about what it means to have a modern data architecture. Data observability also helps users identify the root cause of problem in the data.

Data Observability 52

Data Observability Data Lakes Data Quality ETL 52

Alation

MAY 24, 2022

This has created many different data quality tools and offerings in the market today and we’re thrilled to see the innovation. People will need high-quality data to trust information and make decisions. The Lineage & Dataflow API is a good example enabling customers to add ETL transformation logic to the lineage graph.

Data Quality 98

Data Quality Data Governance ETL Data Observability 98

The MLOps Blog

AUGUST 3, 2023

At a high level, we are trying to make machine learning initiatives more human capital efficient by enabling teams to more easily get to production and maintain their model pipelines, ETLs, or workflows. For example, let’s take Airflow , AWS SageMaker pipelines. Piotr: Sounds like something with data, right? Data drift.

ML 52

ML ML Data Scientist Machine Learning 52

Pickl AI

MARCH 19, 2025

It allows users to design, automate, and monitor data flows, making it easier to handle complex data pipelines. Monte Carlo Monte Carlo is a data observability platform that helps engineers detect and resolve data quality issues.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52