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Cloudera Data Engineering 2021 Year End Review

Cloudera

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.

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A Cost-Effective Data Warehouse Solution in CDP Public Cloud – Part1

Cloudera

Today’s customers have a growing need for a faster end to end data ingestion to meet the expected speed of insights and overall business demand. This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability.

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Cloudera Data Engineering – Integration steps to leverage spark on Kubernetes

Cloudera

What is Cloudera Data Engineering (CDE) ? Cloudera Data Engineering is a serverless service for Cloudera Data Platform (CDP) that allows you to submit jobs to auto-scaling virtual clusters. ISV Partners, like Precisely , support Cloudera’s hybrid vision.

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Security Reference Architecture Summary for Cloudera Data Platform

Cloudera

This blog will summarise the security architecture of a CDP Private Cloud Base cluster. The architecture reflects the four pillars of security engineering best practice, Perimeter, Data, Access and Visibility. CDP Private Cloud Base offers 3 levels of security that implement these features.

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Five Reasons Why Platforms Beat Point Solutions in Every Business Case

Cloudera

A few years ago, there were several choices of data deduplication apps for storage, and now, it’s a standard function in every system. For one example, Cloudera’s enterprise data cloud is a platform designed specifically for improving control, connectivity, and data flow inside a data center in addition to public, private and hybrid clouds.

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Get Your Analytics Insights Instantly – Without Abandoning Central IT

Cloudera

While cloud-native, point-solution data warehouse services may serve your immediate business needs, there are dangers to the corporation as a whole when you do your own IT this way. And you also already know siloed data is costly, as that means it will be much tougher to derive novel insights from all of your data by joining data sets.

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Make the leap to Hybrid with Cloudera Data Engineering

Cloudera

For part 1 please go here. 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. Note: This is part 2 of the Make the Leap New Year’s Resolution series.