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Cloud Analytics

AWS Analytics

Big Data Analysis using various AWS managed services like Amazon Athena, Amazon EMR, Amazon Redshift, Amazon Opensearch, Amazon QuickSight etc.

9 Articles
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Articles

Amazon Athena

This article will help you to understand Amazon Anthena along with use cases & best practises.

Updated 01 Oct, 2021

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Query S3 Data Using Amazon Athena

Amazon Athena is serverless interactive query service that makes it easy to analyze large-scale datasets in Amazon S3 using standard SQL. Athena is easy to use. Simply point to your data in Amazon S3, define the schema, and start querying using standard SQL.

Updated 01 Oct, 2021

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Analyze Athena Datasource using QuickSight

QuickSight is Amazon’s Business Intelligence pay-per-session service which allows you to create and publish interactive dashboards and charts. Quicksight can query data with Athena to provide easy-to-understand insights.

Updated 01 Oct, 2021

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Amazon EMR

Amazon EMR (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.

Updated 18 Oct, 2021

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Create Amazon EMR Cluster

With Amazon EMR we can set up & launch a cluster to process and analyze data with various big data frameworks very easily.

Updated 18 Oct, 2021

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Process Data as Job Steps in EMR

We can submit jobs and interact directly with the data frameworks that is installed in the Amazon EMR cluster. Alternatively, we can submit one or more ordered steps to an Amazon EMR cluster. Each step is a unit of work that contains instructions to manipulate data for processing by the data framework installed on the cluster.

Updated 12 Oct, 2021

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Amazon Redshift

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the AWS cloud to efficiently analyze all your data using your existing business intelligence tools.

Updated 15 Oct, 2021

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Create Amazon Redshift Cluster

Amazon Redshift is a fast, scalable data warehouse that makes it simple and cost-effective to analyze data across data warehouse and data lake. With a few clicks, we can create a Amazon Redshift cluster in minutes.

Updated 16 Oct, 2021

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Data Analysis using Redshift

In this article we are going to query Amazon Redshift for Data Analytics and perform Data Visualization using Metabase.

Updated 19 Oct, 2021

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