Data Science Dojo

OCTOBER 10, 2023

Representatives from Google AI, Amazon Web Services, Microsoft Azure, and other top firms attended the event as main speakers. Data Observability : It emphasizes the concept of data observability, which involves monitoring and managing data systems to ensure reliability and optimal performance.

AI 243

AI AI Data Observability Artificial Intelligence 243

Precisely

MARCH 14, 2023

First, private cloud infrastructure providers like Amazon (AWS), Microsoft (Azure), and Google (GCP) began by offering more cost-effective and elastic resources for fast access to infrastructure. Now, almost any company can build a solid, cost-effective data analytics or BI practice grounded in these new cloud platforms.

Data Quality 52

Data Quality Cloud Data Data Pipeline Data Observability 52

The MLOps Blog

JUNE 27, 2023

Microsoft Azure ML Platform The Azure Machine Learning platform provides a collaborative workspace that supports various programming languages and frameworks. Your data team can manage large-scale, structured, and unstructured data with high performance and durability.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

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. It is widely used for building efficient and scalable data pipelines.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

JUNE 7, 2024

Top contenders like Apache Airflow and AWS Glue offer unique features, empowering businesses with efficient workflows, high data quality, and informed decision-making capabilities. Introduction In today’s business landscape, data integration is vital. Read Further: Azure Data Engineer Jobs.

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ETL Data Quality Data Pipeline Data Warehouse 40