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태그: Analytics

총 5개의 글이 있습니다.

Amazon Athena는 오픈 소스 프레임워크를 기반으로 구축된 서버리스 대화형 분석 서비스로, 오픈 테이블 및 파일 형식을 지원한다. 페타바이트 규모의 데이터를 분석할 수 있는 간단한 방법을 제공한다. Athena를 사용하면 SQL 또는 Python을 사용하여 Amazon Simple Storage Service(S3) 데이터 레이크와 온프레미스 데이터 소스나 다른 클라우드 시스템을 포함한 30개의 데이터 소스에서 데이터를 분석하거나 애플리케이션을 구축할 수 있다. 오픈 소스 Trino 및 Presto 엔진과 Apache Spark 프레임워크를 기반으로 구축되어 있으며, 프로비저닝이나 구성 작업 없이 사용할 수 있다. SQL용 Amazon Athena는 AWS Management Conso

Amazon EMR (previously called Amazon Elastic MapReduce) is a managed cluster platform that simplifies running big data frameworks, such as Apache Hadoop and Apache Spark, on AWS to process and analyze vast amounts of data. MapReduce is a programming model and an associated implementation for processing and generating big data sets with a parallel, distributed algorithm on a cluster, EMR is provide

Amazon Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning, and application development. AWS Glue uses other AWS services to orchestrate your ETL (extract, transform, and load) jobs to build data warehouses and data lakes and generate output streams. AWS Glue calls API operations to transform your data, create runt

Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and reacy quickly to new information. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. Amazon Kinesis enables you to process and analyze

AWS Lake Formation is fully managed service that helps you build, secure, and manage data lakes, and provide access control for data in the data lake. Granular access permissions Customers acress lines of business (LOBs) need a way to manage granular access permissions for different users at the table and column level. Lake Formation helps you manage fine-grained access for internal and external