The AWS Services list contains the vast array of services offered through Amazon Web Services (AWS). These services span from the basic compute offerings such as EC2 to the latest releases such as AWS Deepracer, a machine learning tool.
We've reviewed a range of these services in the AWS Training in NYC. Therefore, when they're appropriate in our AWS Services list, we've provided the link to the relevant blog for more information.
Analytics
Amazon Athena Released November 30 in 2016
- A query service with interactive capabilities that allows you to analyse data in Amazon S3 using standard SQL.
- Athena is serverless, so there is no infrastructure to manage.
Amazon CloudSearch - Released April 11 2012.
It's easy and affordable to establish to manage, maintain, and expand an effective search solution for your site or application.
Amazon Elasticsearch Service - Released 1 October on 1st, 2015.
- It makes it simple for you to set up, secure and run Elasticsearch on a massive scale with minimal downtime
- Provides open-source Elasticsearch APIs as well as managed Kibana as well as Integrations to Logstash as well as various AWS Services, enabling you to securely access information from all sources, and then look up, analyze as well as visualize the data in real-time.
Amazon EMR released in April 9, 2009
- Offers a managed Hadoop system that allows it to be simple efficient, speedy, and affordable to process huge amounts of data on the dynamically scalable Amazon EC2 instances.
It is able to safely and effectively handle an array of large data applications, such as Web indexing, log analytics Data transformations (ETL) financial analysis, machine-learning and simulations for scientific research, as well as bioinformatics.
Amazon Kinesis - Released December 13th, 2013.It makes it simple to collect, process and analyze live, streaming data, allowing you to get immediate insights and quickly respond to any new information
Key capabilities that allow you to efficiently stream data on any scale. It also offers the option of selecting the appropriate tools for the requirements of your business
It is possible to ingest real-time information like audio, video application logs, websites clickstreams, as well as IoT Telemetry data to aid in analytics, machine learning and various other applications.
Amazon Redshift released February 13th, 2013.
- A speedy, scalable Data warehouse makes it easy and economical to review all the information across your data lake and data warehouse.
Provides 10 times faster performance over other warehouses making use of machine learning and massively parallel query execution and columnar storage on high-performance disk
Amazon Quicksight - - Released November 15th in 2016It makes it simple to provide insight to everyone in your company
Allows you to easily design an interactive and publicize dashboards with ML Insights.
Dashboards can be accessed via any device, and integrated into your apps websites, portals, and other applications.
AWS Data Pipeline – Released December 12, 2012A Web service which allows you efficiently process and move data between various AWS storage and compute services, in addition to on-premises data sources at intervals that are set.
You are able to look up your data at the place it's kept, transform it, and process it in a massive way and move the outcomes to AWS services.
It allows you to easily build complex data processing tasks that are fault-tolerant as well as repeatable and accessible.
AWS Glue - Releasing August 14 2017, 2017Extract transform, load, and extract (ETL) services that makes it simple for clients to prep and load data to be used in analytics
You can start and run an ETL task with just a couple of steps in the Management Console of AWS. Simply point AWS Glue to your data stored on AWS as well AWS Glue discovers your data and records the metadata (e.g. schema and table definition) inside AWS Glue's Data Catalog. AWS Glue Data Catalog
Amazon Managed streaming for Kafka announced on November 29 in 2018Allows users to develop and run programs that make use of Apache Kafka to process streaming data
A free-of-cost platform to build real-time streaming data pipelines , as well as applications
You can make use of the Apache Kafka APIs in order to fill data lakes as well as stream updates to databases and back and to power analytics and machine learning applications.
AWS Lake Formation - Released August 8, 2019,It is easy to establish a safe data lake within days.
Lake Formation collects and catalogs data from databases as well as objects, then moves the data into the new Amazon S3 data lake, cleanses and categorizes data using algorithms that learn, and protects access to your personal data.
AWS Data Exchange - Released on November 13, 2019.
It is a service which makes it easier to AWS customers to search for subscription to, and then use third-party cloud data.
Quantum Technologies
Amazon Braket - Available in August 2020Fully managed solution that allows it to be simple for researchers, scientists, and developers to develop tests, run, and test quantum computing algorithms
Offers a development platform to create your own quantum algorithms starting from scratch or pick from a collection of pre-built algorithms, and test the algorithms on quantum computers that simulate and then use them on your choice of various quantum hardware techniques.
Offers a fully-managed simulation service to help you troubleshoot and test your system.
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