Cloudera

AUGUST 13, 2021

Every enterprise is trying to collect and analyze data to get better insights into their business. Whether it is consuming log files, sensor metrics, and other unstructured data, most enterprises manage and deliver data to the data lake and leverage various applications like ETL tools, search engines, and databases for analysis.

Data Pipeline 109

Data Pipeline Data Lake ETL Tools Unstructured Data 109

Cloudera

DECEMBER 17, 2020

When many businesses start their journey into ML and AI, it’s common to place a lot of energy and focus on the coding and data science algorithms themselves. Accelerating the Full Machine Learning Lifecycle With Cloudera Data Platform. Accelerating the Full Machine Learning Lifecycle With Cloudera Data Platform.

Machine Learning 81

Machine Learning Data Science Data Pipeline Raw Data 81

Ascend.io

FEBRUARY 12, 2023

The modern data stack is intended to harness the latent power of a company’s data and unlock a wealth of opportunities. Stakeholders have grown frustrated with how long it takes to build data pipelines. Data products. So how come it hasn’t? The antidote to this harmful situation? Read on to find out.

Data Lake 52

Data Lake Business Analyst Data Pipeline Data 52

Ascend.io

FEBRUARY 12, 2023

The modern data stack is intended to harness the latent power of a company’s data and unlock a wealth of opportunities. Stakeholders have grown frustrated with how long it takes to build data pipelines. Data products. So how come it hasn’t? The antidote to this harmful situation? Read on to find out.

Data Lake 52

Data Lake Business Analyst Data Pipeline Data 52

Ascend.io

FEBRUARY 12, 2023

The modern data stack is intended to harness the latent power of a company’s data and unlock a wealth of opportunities. Stakeholders have grown frustrated with how long it takes to build data pipelines. Data products. So how come it hasn’t? The antidote to this harmful situation? Read on to find out.

Data Lake 52

Data Lake Business Analyst Data Pipeline Data 52

Rockset

FEBRUARY 17, 2022

It’s the start of 2022 and a great time to look ahead and think about what changes we can expect in the coming months. New Thing 1: Data Products Barr Moses, Co-Founder & CEO, Monte Carlo In 2022, the next big thing will be “data products.” Here are their contributions.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Monte Carlo

JANUARY 9, 2024

One dark and stormy night, an innocent data team completed a crucial user-facing system conversion. Neither the old or the new data was wrong, but because it was inconsistent with their existing mental model, it was a phantom that distorted reality for all the teams involved.

Pipeline-centric 52

Pipeline-centric Database-centric Data Manufacturing 52