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==Cloud analytics tools== |
==Cloud analytics tools== |
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'''AWS Analytics products:''' |
'''AWS Analytics products:''' |
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* {{anchor|Athena}}[[Amazon Athena]] runs interactive queries directly against data in [[Amazon S3]].<ref>{{Cite web|url=https://www.gorillastack.com/news/cloudtrail-athena-query/|title=Query your CloudTrail like a pro with Athena|last=Spira|first=Elliott|date=19 August 2019|website=GorillaStack |
* {{anchor|Athena}}[[Amazon Athena]] runs interactive queries directly against data in [[Amazon S3]].<ref>{{Cite web|url=https://www.gorillastack.com/news/cloudtrail-athena-query/|title=Query your CloudTrail like a pro with Athena|last=Spira|first=Elliott|date=19 August 2019|website=GorillaStack|archive-url=|archive-date=|access-date=}}</ref> |
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* [[Amazon EMR]] deploys open source, big data frameworks like Apache Hadoop, Spark, Presto, HBase, and Flink. |
* [[Amazon EMR]] deploys open source, big data frameworks like Apache Hadoop, Spark, Presto, HBase, and Flink. |
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* [[Amazon Redshift]] fully manages petabyte-scale data warehouse to run complex queries on collections of structured data.<ref>{{Cite web|url=https://aws.amazon.com/big-data/analytics/|title=Data Lakes and Analytics on AWS - Amazon Web Services}}</ref> |
* [[Amazon Redshift]] fully manages petabyte-scale data warehouse to run complex queries on collections of structured data.<ref>{{Cite web|url=https://aws.amazon.com/big-data/analytics/|title=Data Lakes and Analytics on AWS - Amazon Web Services}}</ref> |
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Revision as of 02:47, 27 September 2023
 | This article needs additional citations for verification. (August 2013) |
Cloud analytics is a marketing term for businesses to carry out analysis using cloud computing. It uses a range of analytical tools and techniques to help companies extract information from massive data and present it in a way that is easily categorised and readily available via a web browser.[1]
Cloud analytics is term for a set of technological and analytical tools and techniques specifically designed to help clients extract information from massive data.[2]
Cloud analytics is designed to make official statistical data readily categorized and available via the users web browser.
Cloud analytics tools
AWS Analytics products:
- Amazon Athena runs interactive queries directly against data in Amazon S3.[3]
- Amazon EMR deploys open source, big data frameworks like Apache Hadoop, Spark, Presto, HBase, and Flink.
- Amazon Redshift fully manages petabyte-scale data warehouse to run complex queries on collections of structured data.[4]
Google Cloud Analytics Products:
- Google BigQuery Google's fully manages low cost analytics data warehouse.
- Google Cloud Dataflow unifies programming models and manages services for executing a range of data processing patterns including streaming analytics, ETL, and batch computation.
- Google Cloud Dataproc manages Spark and Hadoop service, to process big datasets using the open tools in the Apache big data ecosystem.
- Google Cloud Composer fully manages workflow orchestration service to author, schedule, and monitor pipelines that span across clouds and on-premises data centers.
- Google Cloud Datalab is an interactive notebook (based on Jupyter) to explore, collaborate, analyze and visualize data.
- Google Data Studio turns data into dashboards and reports that can be read, shared, and customized.
- Google Cloud Dataprep is a data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis.
- Google Cloud Pub/Sub is a serverless, large-scale, real-time messaging service that allows you to send and receive messages between independent applications.[5]
Related Azure services and Microsoft products:
- HDInsight provisions cloud Hadoop, Spark, R Server, HBase, and Storm clusters.
- Data Lake Analytics distributes analytics service that makes big data easy.
- Machine Learning Studio easily builds, deploys, and manages predictive analytics solutions.[6]
References
- ^ What is Cloud Analytics?
- ^ "Cloud Analytics | Booz Allen Hamilton". Archived from the original on 2014-08-12. Retrieved 2014-07-30.
- ^ Spira, Elliott (19 August 2019). "Query your CloudTrail like a pro with Athena". GorillaStack.
- ^ "Data Lakes and Analytics on AWS - Amazon Web Services".
- ^ "Data Analytics Solutions".
- ^ "Cloud-Scale Analytics | Microsoft Azure".