AWS Analytics
Big Data Analysis using various AWS managed services like Amazon Athena, Amazon EMR, Amazon Redshift, Amazon Opensearch, Amazon QuickSight etc.
Amazon Athena
This article will help you to understand Amazon Anthena along with use cases & best practises.
Updated 01 Oct, 2021
Read MoreQuery 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
Read MoreAnalyze 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
Read MoreAmazon 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
Read MoreCreate 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
Read MoreProcess 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
Read MoreAmazon 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
Read MoreCreate 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
Read MoreData 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
Read MoreAmazon Kinesis Services
Amazon Kinesis services helps to collect, process, and analyze data streams in real time.
Updated 23 Oct, 2021
Read MoreStreaming Data Analytics with Amazon Kinesis
In today's fast-paced digital landscape, processing and analyzing real-time data streams is crucial for timely decision-making. Amazon Kinesis, a robust data streaming service, facilitates this by collecting, processing, and analyzing streaming data. This article demonstrates how to set up and utilize Amazon Kinesis for real-time analytics using Twitter as a data source.
Updated 02 Jul, 2024
Read MoreAmazon MSK
Amazon Managed Streaming for Apache Kafka is a fully managed, highly available, and secure Apache Kafka service to process streaming data.
Updated 13 Aug, 2023
Read MoreStreaming Data Analytics with Amazon MSK
In the era of big data, the ability to analyze streaming data in real-time is essential for gaining timely insights and making data-driven decisions. Amazon Managed Streaming for Apache Kafka (MSK) is a powerful solution for this purpose. This article guides you through setting up Amazon MSK, ingesting data from Twitter, and analyzing it using Apache Flink.
Updated 02 Jul, 2024
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