https://aws.amazon.com/big-data/datalakes-and-analytics/
AWS Analytics
1. Amazon Athena
2. Amazon kinesis
3. Amazon Quick sight
a.Amazon elastic map reduce (Amazon EMR)
b.Amazon Glue
c.Amazon redshift
d.Amazon Managed Streaming for Apache Kafka (Amazon MSK)
e.Amazon cloudsearch
f.Amazon opensearch - Amazon Elastic search
g.Amazon data pipeline
h.Aws Lake formation
i.Amazon appflow
j.AWS Data exchange
Amazon Athena(serverless): Interactive analytics
It's a interactive query service, that makes it easy to query data directly in
s3 using sql queries. Athena is Serverless. pay only for queries you run.
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Amazon kinesis:
Collects, process and analyze video and data streams in real time.
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Amazon quick sight:
Amazon Quick Sight is a fast business analytics service to build visualizations, perform
ad hoc analysis, and quickly get business insights from your data.
delivers fast and responsive query performance by using the Amazon Quick Sight
Super-fast, Parallel, In-Memory, Calculation Engine (SPICE).
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Amazon elastic map reduce (Amazon EMR) - Big data processing
Used to process vast amount of data, using big data framework such as
apache hadoop and apache spark.
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Amazon Glue
Fully managed, pay as you go ETL (extract,transform,load) service that automates
time consuming steps of data preparation for analytics. Glue is Serverless.
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Amazon redshift
Fully managed, peta byte scale, Datawarehouse service. That efficiently analyze
all the data using BI tools.
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Amazon Managed Streaming for Apache Kafka (Amazon MSK)
is a fully managed service that use Apache Kafka to process streaming data.
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Amazon cloud search:
Fully managed service adds a search capability for your website.
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Amazon OpenSearch - Amazon Elastic search
OpenSearch is a distributed, open-source search and analytics suite used real-time application monitoring, log analytics, and website search.
Amazon Elasticsearch -
Service allows you to search, "Operational analytics"
explore, filter, aggregate, and visualize your data in near real-time.
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Amazon data pipeline:
Automate movement and transformation of data. you can define data driven workflow
so tasks can be dependent on successful completion of previous task
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Aws Lake formation:
Used to manage data lake. used to catalog, cleanse and transform the data.
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Amazon App flow: (API integration service)
Amazon App Flow is a fully managed API integration service that you use to connect your software as a service (SaaS) application to AWS services, and securely transfer data. Use Amazon App Flow flows to manage and automate your data transfers without needing to write code.
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AWS data Exchange:
AWS Data Exchange is a service that makes it easy for customers to find, subscribe to, and use third-party data in the AWS Cloud.
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