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Cloudera Data Engineering 2021 Year End Review

Cloudera

This allowed us to have disaggregated storage and compute layers, independently scaling based on workload requirements. A flexible orchestration tool that enables easier automation, dependency management, and customization — like Apache Airflow — is needed to meet the evolving needs of organizations large and small. New in 2021.

Snapshot 116
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Enabling Multi-User Fine-Grained Access Control for Cloud Storage in CDP

Cloudera

Shared Data Experience ( SDX ) on Cloudera Data Platform ( CDP ) enables centralized data access control and audit for workloads in the Enterprise Data Cloud. The public cloud (CDP-PC) editions default to using cloud storage (S3 for AWS, ADLS-gen2 for Azure).

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Value Proposition of the Cloudera Operational Database over Legacy Apache HBase Deployments

Cloudera

The CDP Operational Database ( COD ) builds on the foundation of existing operational database capabilities that were available with Apache HBase and/or Apache Phoenix in legacy CDH and HDP deployments. Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components.

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Group vs Fine-Grained Access Control in Cloudera Data Platform Public Cloud

Cloudera

Cloudera Data platform ( CDP ) provides a Shared Data Experience ( SDX ) for centralized data access control and audit in the Enterprise Data Cloud. The Ranger Authorization Service (RAZ) is a new service added to help provide fine-grained access control (FGAC) for cloud storage.

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Implement a Multi-Cloud Open Lakehouse with Apache Iceberg in Cloudera Data Platform

Cloudera

Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), Cloudera customers, such as Teranet , have built open lakehouses to future-proof their data platforms for all their analytical workloads. Cloudera partners are also benefiting from Apache Iceberg in CDP. Enhanced multi-function analytics.

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Introducing Apache Iceberg in Cloudera Data Platform

Cloudera

The data explosion has to be met with new solutions, that’s why we are excited to introduce the next generation table format for large scale analytic datasets within Cloudera Data Platform (CDP) – Apache Iceberg. This unprecedented level of big data workloads hasn’t come without its fair share of challenges. Key Design Goals .

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Empowering Digital Innovation Through Data and the Public Cloud Together with Amazon Web Services

Cloudera

As data continues to grow at an exponential rate, our customers are increasingly looking to advance and scale operations through digital transformation and the cloud. Cloudera and AWS: Harnessing the Power of Data and Cloud . Key advantages to leveraging a hybrid approach include include: .