CIO

JUNE 28, 2023

The initial stage involved establishing the data architecture, which provided the ability to handle the data more effectively and systematically. “We The team spent about six months building and testing the platform architecture and data foundation, and then spent the next six months developing the various use cases.

Technical Review 224

Technical Review Analytics Innovation Artificial Intelligence 224

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. In our data adventure we assume the following: . The Data Scientist.

Data 97

Data Virtualization Banking Data Engineering 97

Confluent

FEBRUARY 6, 2019

This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers. Impedance mismatch between data scientists, data engineers and production engineers. For now, we’ll focus on Kafka.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Cloudera

DECEMBER 20, 2023

At our recent Evolve Conference in New York we were extremely excited to announce our founding AI ecosystem partners: Amazon Web Services (“AWS“), NVIDIA, and Pinecone. Ray can be used in Cloudera Machine Learning’s open-by-design architecture to bring fast distributed AI compute to CDP.

Artificial Inteligence 70

Artificial Inteligence Artificial Intelligence Enterprise Machine Learning 70

Altexsoft

NOVEMBER 7, 2022

You can hardly compare data engineering toil with something as easy as breathing or as fast as the wind. The platform went live in 2015 at Airbnb, the biggest home-sharing and vacation rental site, as an orchestrator for increasingly complex data pipelines. How data engineering works. Airflow architecture.

Weak Development Team 52

Weak Development Team Technical Review Software Review Systems Review 52

Cloudera

OCTOBER 18, 2022

Like all of our customers, Cloudera depends on the Cloudera Data Platform (CDP) to manage our day-to-day analytics and operational insights. Many aspects of our business live within this modern data architecture, providing all Clouderans the ability to ask, and answer, important questions for the business.

Cloud 85

Cloud Analytics AWS Engineering 85

Cloudera

NOVEMBER 28, 2017

However, different departments or user groups may have access to different subsets of data, making it difficult to join and analyze data between them and limiting collaboration between different teams (such as for workflows requiring data engineers, data scientists, and SQL users).

Analytics 40

Analytics Cloud Data Data Engineering 40