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Setting up Data Lake on GCP using Cloud Storage and BigQuery

Analytics Vidhya

Data lakes provide a way to store and process large amounts of raw data in its original format, […] The post Setting up Data Lake on GCP using Cloud Storage and BigQuery appeared first on Analytics Vidhya. The need for a data lake arises from the growing volume, variety, and velocity of data companies need to manage and analyze.

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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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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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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. The three we will evaluate here are: Python boto3 API, AWS CLI, and S5cmd.

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

Towards Data Science

Companies targeting specifically data applications like Databricks, DBT, and Snowflake are exploding in popularity while the classic players (AWS, Azure, and GCP) are also investing heavily in their data products. Google Cloud Storage (GCS) is Google’s blob storage. Google Cloud. Read them later using their “path”.

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Using Trino And Iceberg As The Foundation Of Your Data Lakehouse

Data Engineering Podcast

If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com ) with your story. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com ) with your story.

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How to Pull Data from an API, Using AWS Lambda

Start Data Engineering

Introduction If you are looking for a simple, cheap data pipeline to pull small amounts of data from a stable API and store it in a cloud storage, then serverless functions are a good choice.

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