Precisely

JANUARY 9, 2025

The promise of Hadoop was that organizations could securely upload and economically distribute massive batch files of any data across a cluster of computers. It was very promising as a way of managing datas scale challenges, but data integrity once again became top of mind. A data lake!

Data Warehouse 119

Data Warehouse Hadoop Data Lakes Data Governance 119

The MLOps Blog

JUNE 27, 2023

It provides tools and components to facilitate end-to-end ML workflows, including data preprocessing, training, serving, and monitoring. Kubeflow integrates with popular ML frameworks, supports versioning and collaboration, and simplifies the deployment and management of ML pipelines on Kubernetes clusters.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

Dataconomy

FEBRUARY 23, 2023

Data engineers are responsible for designing and building the systems that make it possible to store, process, and analyze large amounts of data. These systems include data pipelines, data warehouses, and data lakes, among others. However, building and maintaining these systems is not an easy task.

Big Data 91

Big Data Big Data Data Engineering Data Engineering 91

The MLOps Blog

MARCH 15, 2023

Data Processing : You need to save the processed data through computations such as aggregation, filtering and sorting. Data Storage : To store this processed data to retrieve it over time – be it a data warehouse or a data lake. Server update locks the entire cluster.

Data Pipeline 59

Data Pipeline ETL Data Quality SQL 59