The quickest approach to provide all of your consumers with answers from all of your data.
Analytics on AWS
AWS provides the most comprehensive selection array of services that fit all data analytics needs and enables organizations of all sizes and domains to boost their businesses with data. It offers purpose-built, cost-effective and scalable services.
It comprises a wide variety of services like data movement, data storage, data lakes, big data analytics, log analytics, streaming analytics, business intelligence, and machine learning (ML) to anything and everything in between.
A serverless, fast interactive query service that works inline with the data stored in S3, making data analysis easy and cost-effective.
With Amazon EMR large amount of data can be moved in and out of other databases. It works well with open-source tools viz. Apache Hadoop, Apache Spark, and others alike. It is used for data analysis, warehousing, web indexing, financial analysis, scientific simulation, etc.
Is a cloud-based solution that uses columnar data storage and massively parallel processing design. It works on compiled code, concurrency scaling, security and integration with machine learning.
Amazon Kinesis is a platform designed to process large data from a wide spectrum of services in real-time. It is highly scalable and resilient, and it makes data collection, processing, analysis and streaming easy.
Amazon OpenSearch Service
OpenSearch provides a scalable system for fast access and response to large data. It enables easy to ingest, security, search, aggregation, view, and analysis. It offers encryption, authentication, authorization, and auditing features.
Amazon QuickSight is powered by machine learning and facilitates creation of data visualizations and dashboards. It is a fully managed cloud-scale business intelligence service. Its user management tools range from a few to tens of thousands without infrastructure.
AWS Glue DataBrew
AWS Glue DataBrew is a visual data preparation tool used to assimilate data. It enables business analysts, data scientists, and data engineers to cohesively get insights from raw data.
Real Time Data Movement
AWS Glue is an event-driven, fully managed serverless data integration and ETL Web Service. Its noteworthy ability is to analyze and categorize data. It is a service that makes the discovery, preparation, and combination of data for analysis, ML, and application development simple.
Amazon Managed Streaming for Apache Kafka (MSK)
Kafka is a subscriber-based messaging service that provides a platform for stream processing. Amazon Managed Streaming for Apache Kafka (MSK) is used to manage, grow, and maintain Apache Kafka clusters, and provide enterprise-grade security features.
Amazon Kinesis Data Streams
Amazon Kinesis Data Streams is a fully managed Cloud service that allows data processing from a wide variety of sources and then streams it in real-time to various destinations. It can regenerate the API Key, API Key Secret, Access Token, and Access Token Secret anytime as needed.
Amazon Kinesis Data Firehose
It has the capability of capturing, transforming, and distributing streaming data to data lakes, data stores, and analytics services. The Amazon Kinesis Data Firehose is used to collect data from a variety of AWS services. It has no restriction on the number of delivery channels.
Amazon Kinesis Video Streams
Fully managed IoT Security service that will help you to keep your fleet secure. Read more
AWS Database Migration Services
Data conversion from on-premises databases, databases on Amazon RDS, or databases on Amazon EC2 to databases running on AWS services is possible with the help of the AWS Database Migration Service. Because the source database is still fully operational during the conversion, applications that depend on it incur the least amount of downtime.
Access to highly scalable, dependable, quick, and affordable data storage is made possible by AWS S3, also known as “Simple Storage Service”. With S3, customers can store any quantity of data and retrieve it from virtually any location as needed.
AWS Lake Formation
AWS Lake Formation is a service that sets up a secure data lake. A data lake is a centralized and secured repository where all the data is stored. Data is stored when it is raw and processed for analysis in a data lake. It enables a combination of different analytics to gain insights.
Amazon S3 Glacier
The Amazon S3 Glacier storage class allows for the retrieval of older media content in milliseconds cost-effectively. Amazon S3 Glacier is a secure, durable, and low-cost Amazon S3 cloud storage class for data archiving and long-term backup.
Data backup across all AWS services, both on-premises and in the cloud, can be easily consolidated and automated with AWS Backup. With AWS Backup, it is easier to develop and implement a backup plan for workloads using various AWS resources that need to be backed up together.
The AWS Glue Data Catalog offers centralized uniform metadata storage to be used for data tracking, querying, and transformation. It indexes the location, schema, and runtime metrics of the data, and metadata tables are used to store information in it. Users can find and access data swiftly using the Glue Data Catalog.
AWS Lake Formation
A secure data lake is a product of the AWS Lake Formation Service. It is the assimilation of a secured repository where all the data is stored. Data stored in it is raw and analyzed.
AWS Data Exchange
With AWS Data Exchange, data delivery, billing, and entitling can reach millions of AWS customers transitioning to the cloud, without any infrastructure. It does not allow the sharing of private information that is not already legally and publicly accessible, such as medical records and other sensitive personal data.
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