Cloudera

JULY 13, 2021

After the launch of CDP Data Engineering (CDE) on AWS a few months ago, we are thrilled to announce that CDE, the only cloud-native service purpose built for enterprise data engineers, is now available on Microsoft Azure. . Resource isolation and centralized GUI-based job management.

Enterprise 124

Enterprise Visualization Testing Management 124

Cloudera

DECEMBER 21, 2021

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. We also introduced Apache Airflow on Kubernetes as the next generation orchestration service.

Snapshot 115

Snapshot Data-driven Optimization Management 115

Cloudera

SEPTEMBER 21, 2021

Many customers looking at modernizing their pipeline orchestration have turned to Apache Airflow, a flexible and scalable workflow manager for data engineers. Apache Airflow providers are a set of packages allowing services to define operators in their Directed Acyclic Graphs (DAGs) to access external systems.

Data Processing 93

Data Processing Testing Management Machine Learning 93

Cloudera

JUNE 2, 2021

Data pipelines are in high demand in today’s data-driven organizations. As critical elements in supplying trusted, curated, and usable data for end-to-end analytic and machine learning workflows, the role of data pipelines is becoming indispensable.

Data Warehouse 88

Data Warehouse Machine Learning Data-driven Enterprise 88

Cloudera

AUGUST 17, 2021

When we announced the GA of Cloudera Data Engineering back in September of last year, a key vision we had was to simplify the automation of data transformation pipelines at scale. In addition, we allowed users to automate their jobs based on a time-based schedule.

Management 110

Management Cost-Benefit Data Transformation Optimization 110

Cloudera

FEBRUARY 14, 2022

When we introduced Cloudera Data Engineering (CDE) in the Public Cloud in 2020 it was a culmination of many years of working alongside companies as they deployed Apache Spark based ETL workloads at scale. It’s no longer driven by data volumes, but containerization, separation of storage and compute, and democratization of analytics.

Testing 109

Testing Data-driven Data Warehouse Enterprise 109

Cloudera

OCTOBER 13, 2021

MB of data per second in 2020. That’s a lot of data. For enterprises the net result is an intricate data management challenge that’s not about to get any less complex anytime soon. Enterprises need to find a way of getting insights from this vast treasure trove of data into the hands of the people that need it.

ROI 92

ROI Optimization Data Warehouse Data-driven 92