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Streaming Big Data Files from Cloud Storage

Towards Data Science

This continues a series of posts on the topic of efficient ingestion of data from the cloud (e.g., Before we get started, let’s be clear…when using cloud storage, it is usually not recommended to work with files that are particularly large. here , here , and here ). CPU cores and TCP connections).

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Enabling Security for Hadoop Data Lake on Google Cloud Storage

Uber Engineering

Our latest blog dives into enabling security for Uber’s modernized batch data lake on Google Cloud Storage! Ready to boost your Hadoop Data Lake security on GCP?

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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). For more details, see the following resources .

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Creating ArcGIS Cloud Storage (ACS) connection files for STAC

ArcGIS

This is a blog that will take users through workflows to create cloud storage connection files that can be used in their stac connections.

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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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Carbon Hack 24: Leveraging the Impact Framework to Estimate the Carbon Cost of Cloud Storage by Matt Griffin

Scott Logic

This blog post serves as a dev diary of the process, covering our challenges, contributions made and attempts to validate them. We started to consider breaking the components down into different plugins, which could be used for more than just cloud storage.

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Stream Rows and Kafka Topics Directly into Snowflake with Snowpipe Streaming

Snowflake

Rather than streaming data from source into cloud object stores then copying it to Snowflake, data is ingested directly into a Snowflake table to reduce architectural complexity and reduce end-to-end latency. And if you are using Amazon Managed Streaming for Apache Kafka (MSK), you can get started using this guided demo.

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