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Streaming Big Data Files from Cloud Storage

Towards Data Science

In such cases one must consider the manner in which the files will be pulled to the application while taking into account: bandwidth capacity, network latency, and the application’s file access pattern. This continues a series of posts on the topic of efficient ingestion of data from the cloud (e.g., here , here , and here ).

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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). RAZ for S3 gives them that capability.

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Creating a Data Pipeline with Spark, Google Cloud Storage and Big Query

Towards Data Science

On-premise and cloud working together to deliver a data product Photo by Toro Tseleng on Unsplash Developing a data pipeline is somewhat similar to playing with lego, you mentalize what needs to be achieved (the data requirements), choose the pieces (software, tools, platforms), and fit them together. And this is, by no means, a surprise.

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Cloudera Operational Database (COD) Performance Benchmarking: Comparing HDFS and Cloud Storage

Cloudera

Powered by Apache HBase and Apache Phoenix, COD ships out of the box with Cloudera Data Platform (CDP) in the public cloud. It’s also multi-cloud ready to meet your business where it is today, whether AWS, Microsoft Azure, or GCP. We tested for two cloud storages, AWS S3 and Azure ABFS. runtime version.

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Using Trino And Iceberg As The Foundation Of Your Data Lakehouse

Data Engineering Podcast

It is an open-source, cloud-native orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability. For someone who is interested in building a data lakehouse with Trino and Iceberg, how does that influence their selection of other platform elements?

Data Lake 262
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Access control for Azure ADLS cloud object storage

Cloudera

introduces fine-grained authorization for access to Azure Data Lake Storage using Apache Ranger policies. Cloudera and Microsoft have been working together closely on this integration, which greatly simplifies the security administration of access to ADLS-Gen2 cloud storage. Cloudera Data Platform 7.2.1

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Cloud Computing Future: 12 Trends & Predictions About Cloud

Knowledge Hut

Cloud computing is changing faster than we ever imagined. Every day, new features and capabilities have been released that change how we think about, use, and administer cloud services. Thus, the cloud computing future looks pretty bright and stable. Here are 12 trends and predictions for the future of cloud computing.