AWS
AWS provides a comprehensive suite of data and analytics services that can help organizations collect, store, process, and analyze large volumes of data. With these services, organizations can gain insights that can help them make better business decisions, improve customer experiences, and drive innovation.
Amazon S3 (Simple Storage Service) is a highly scalable and durable object storage service that can be used to store and retrieve data. With Amazon S3, organizations can easily scale their storage capacity to meet their growing data needs, and pay only for what they use.
Amazon EMR (Elastic MapReduce): is a fully-managed Hadoop framework that can be used to process and analyze large amounts of data using open-source tools such as Apache Spark, Hadoop, and Hive.With Amazon EMR, organizations can quickly deploy and manage big data clusters, and run a wide range of data processing and analytics workloads.
Amazon Redshift is a fast, scalable, and fully-managed data warehouse service that can be used to analyze large volumes of structured data. With Amazon Redshift, organizations can easily provision and scale their data warehouse capacity, and run complex analytics queries in seconds.
Amazon Kinesis is a platform for streaming data on AWS that can be used to collect, process, and analyze real-time data such as website clickstreams, IoT sensor data, and social media feeds. It includes three services: Kinesis Data Streams, Kinesis Data Firehose, and Kinesis Data Analytics. With Amazon Kinesis, organizations can easily collect and process streaming data at scale, and use it to drive real-time decision-making.
Amazon QuickSight is a cloud-based business intelligence service that can be used to visualize and analyze data from various sources, including AWS data services, on-premises databases, and third-party applications. It provides a range of visualization options and can be accessed from web browsers and mobile devices. With Amazon QuickSight, organizations can easily create interactive dashboards and reports, and share them with their teams.
AWS Glue is a fully-managed extract, transform, and load (ETL) service that can be used to prepare and transform data for analytics. It automates many of the tedious tasks involved in data preparation, such as schema discovery, data transformation, and job scheduling. With AWS Glue, organizations can easily build and maintain data pipelines, and make their data ready for analytics.
