Remove info object-storage
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Apache Iceberg optimization: Solving the small files problem in Amazon EMR

AWS Big Data

In our previous post Improve operational efficiencies of Apache Iceberg tables built on Amazon S3 data lakes , we discussed how you can implement solutions to improve operational efficiencies of your Amazon Simple Storage Service (Amazon S3) data lake that is using the Apache Iceberg open table format and running on the Amazon EMR big data platform.

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Extract data from SAP ERP using AWS Glue and the SAP SDK

AWS Big Data

so' -exec patchelf --set-rpath '$ORIGIN' {} ; Update the wheel file with the modified pyrfc and dist-info folders: zip -r pyrfc-2.5.0-cp37-cp37m-linux_x86_64.whl dist-info Copy the wheel file pyrfc-2.5.0-cp37-cp37m-linux_x86_64.whl rpm Run patchelf: find -name '*.so' cp37-cp37m-linux_x86_64.whl whl pyrfc pyrfc-2.5.0.dist-info

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Apache Ozone Powers Data Science in CDP Private Cloud

Cloudera

Apache Ozone is a scalable distributed object store that can efficiently manage billions of small and large files. The object store is readily available alongside HDFS in CDP (Cloudera Data Platform) Private Cloud Base 7.1.3+. Learn more about the impacts of global data sharing in this blog, The Ethics of Data Exchange. import boto3.

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Access Amazon Athena in your applications using the WebSocket API

AWS Big Data

To accomplish this on AWS, organizations use Amazon Simple Storage Service (Amazon S3) to provide cheap and reliable object storage to house their datasets. client('s3', region_name=params['Region'], config=Config(signature_version='s3v4')) # User provided body with object info bodyData = json.loads(event['body']) try: url = s3.generate_presigned_url(

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Break data silos and stream your CDC data with Amazon Redshift streaming and Amazon MSK

AWS Big Data

It’s simple to set up, and directly ingests streaming data into your data warehouse from Amazon Kinesis Data Streams and Amazon Managed Streaming for Kafka ( Amazon MSK ) without the need to stage in Amazon Simple Storage Service (Amazon S3). You can use the following query that pulls streaming data to Redshift object immediately.

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Build event-driven data pipelines using AWS Controllers for Kubernetes and Amazon EMR on EKS

AWS Big Data

In this post, we show how to build an event-driven data pipeline using ACK controllers for EMR on EKS, Step Functions, EventBridge, and Amazon Simple Storage Service (Amazon S3). In the post Microservices development using AWS controllers for Kubernetes (ACK) and Amazon EKS blueprints , we show how to use ACK for microservices development.

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Why Is Data Loss Prevention is Crucial for Business?

Smart Data Collective

Data loss protection comprises three significant business objectives – personal information protection, intellectual property protection, and comprehensive data usage reports. A comprehensive DLP plan can monitor data in transit within networks, cloud storage, and active endpoints. Storage Protection for DLP.

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