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AWS Analytics Services

The AWS Analytics Services category comprises of services typically used for data collection, processing and analysis.  These are mostly used by data scientists, business information analysts, financial analysts, or anyone in need of processing vast amounts of data to generate desired outputs.


Below is the list of services in this category. 


Athena
       - Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL.  Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries you run. 
       - This turns flat files into searchable databases.

EMR (Elastic Mapreduce)
       - Amazon EMR provides a managed Hadoop framework that makes it easy, fast, and cost-effective to process vast amounts of data across dynamically scalable Amazon EC2 instances.  You can also run other popular distributed frameworks such as Apache Spark, Hbase, Presto, and Flink in Amazon EMR, and interact with data in other AWS data stores such as Amazon S3 and Amazon Dynamo DB.
       - EMR is used to process large amounts of data like web indexing.  This is mostly used for Big Data.

Cloud Search
      
- Amazon Cloud Search is a managed service in the AWS Cloud that makes it simple and cost-effective to setup, manage, and scale a search solution for your website or application.
       - It supports 34 languages and popular search features such as highlighting, autocomplete, and geospatial search. 

Elastic Search      
       - Amazon Elasticsearch Service makes it easy to deploy, secure, operate, and scale Elasticsearch for log analytics, full text search, application monitoring, and more.  Elasticsearch is a fully managed service that delivers Elasticseach's easy-to-use APIs and real-time analytics capabilities alongside the availability, scalability, and security that production workloads require.  The service offers built-in integrations with Kibana, Logstash, and AWS services including Amazon Virtual Private Cloud (VPC), Amazon Kinesis Firehose, AWS Lambda, and Amazon CloudWatch so that you can go from raw data to actionable insights quickly and securely.

Kinesis
       - Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information.  Amazon Kinesis offers key capabilities to cost effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application. 
       - This is a way of streaming and analyzing real-time data on a massive scale.  You can capture and store terabytes of data per hour.  It is commonly used for Financial Market Data Analysis. 

QuickSight      
       - Amazon QuickSight is a fast, cloud-powered business analytics service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data.  Using our cloud-based service you can easily connect to your data, perform advanced analysis, and create stunning visualizations and rich dashboards that can be accessed from any browser or mobile device.
       - This is almost the same as Power BI from Microsoft.

Data Pipeline      
       - AWS Data Pipeline is a web service that helps you reliably process and move data between different AWS compute and storage services, as well as on-premise data sources, at specified intervals.  With AWS Data Pipeline, you can regularly access your data where it's stored, transform and process it at scale, and efficiently transfer the results to AWS services such as Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR.

Glue
       - AWS Glue is a fully managed ETL (extract, transform, and load) service that makes it simple and cost-effective to categorize your data, clean it, enrich it, and move it reliably between various data stores.

MSK
       - Amazon Managed Streaming for Kafka (MSK) is a fully managed service that makes it easy for you to build and run applications that use Apache Kafka to process streaming data.  

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