Showing 8 open source projects for "aws-cpp-sdk-s3"

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  • 1
    Countly iOS SDK

    Countly iOS SDK

    Countly Product Analytics iOS SDK with macOS, watchOS and tvOS support

    Countly SDK for iOS is an analytics SDK for integrating real-time event tracking, user profiles, crash reporting, and push notifications into iOS apps. It provides detailed insights into user behavior and app performance.
    Downloads: 4 This Week
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  • 2
    CloudQuery

    CloudQuery

    The open-source cloud asset inventory powered by SQL

    CloudQuery extracts, transforms and loads your cloud assets into normalized PostgreSQL tables. CloudQuery enables you to assess, audit, and monitor the configurations of your cloud assets. Use standard SQL to find any asset based on any configuration or relation to other assets. Connect CloudQuery standard PostgreSQL database to your favorite BI/Visualization tool such as Grafana, QuickSight, etc. Codify your security & compliance rules with SQL as the query engine. Integrate CloudQuery with...
    Downloads: 1 This Week
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  • 3
    DocWire SDK

    DocWire SDK

    Award-winning modern data processing SDK in C++20

    DocWire SDK aims to expand its capabilities, focusing on versatile data extraction, platform support, and seamless integration with various systems. DocWire SDK is dedicated to streamlining data processing, reducing development time and costs, and harnessing the potential of AI. Its advancements promise a superior experience compared to its predecessor, DocToText.
    Downloads: 7 This Week
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  • 4
    Cookiecutter Data Science

    Cookiecutter Data Science

    Project structure for doing and sharing data science work

    A logical, reasonably standardized, but flexible project structure for doing and sharing data science work. When we think about data analysis, we often think just about the resulting reports, insights, or visualizations. While these end products are generally the main event, it's easy to focus on making the products look nice and ignore the quality of the code that generates them. Because these end products are created programmatically, code quality is still important! And we're not talking...
    Downloads: 8 This Week
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  • 5
    SageMaker Spark Container

    SageMaker Spark Container

    Docker image used to run data processing workloads

    ...The container images in this repository are used to build the pre-built container images that are used when running Spark jobs on Amazon SageMaker using the SageMaker Python SDK. The pre-built images are available in the Amazon Elastic Container Registry (Amazon ECR), and this repository serves as a reference for those wishing to build their own customized Spark containers for use in Amazon SageMaker.
    Downloads: 2 This Week
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  • 6
    .NET for Apache Spark

    .NET for Apache Spark

    A free, open-source, and cross-platform big data analytics framework

    ...This means you can use .NET for Apache Spark anywhere you write .NET code allowing you to reuse all the knowledge, skills, code, and libraries you already have as a .NET developer. .NET for Apache Spark runs on Windows, Linux, and macOS using .NET Core, or Windows using .NET Framework. It also runs on all major cloud providers including Azure HDInsight Spark, Amazon EMR Spark, AWS & Azure Databricks.
    Downloads: 0 This Week
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  • 7
    Amazon Kinesis Flink Connectors

    Amazon Kinesis Flink Connectors

    Contains various Apache Flink connectors to connect to AWS data

    This library contains various Apache Flink connectors to connect to AWS data sources and sinks. This repository contains various Apache Flink connectors to connect to AWS Kinesis data sources and sinks. Flink maintain backwards compatibility for the Sink interface used by the Firehose Producer. This project is compatible with Flink 1.x, there is no guarantee it will support Flink 2.x should it release in the future.
    Downloads: 0 This Week
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  • 8
    StreamAlert

    StreamAlert

    StreamAlert is a serverless, realtime data analysis framework

    ...Ingested logs and generated alerts can be retroactively searched for compliance and research. Serverless design is cheaper, easier to maintain, and scales to terabytes per day. Deployment is automated, simple, safe and repeatable for any AWS account. Secure by design, least-privilege execution, containerized analysis, and encrypted data storage.
    Downloads: 0 This Week
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