Unlocking the Power of Data with AWS Services

Discover how Amazon Web Services (AWS) provides an extensive range of cloud services for analytics including Amazon OpenSearch Service, dashboards & visualizations, Amazon Machine Learning (ML), Amazon Kinesis & more.

Unlocking the Power of Data with AWS Services

Amazon Web Services (AWS) is a powerful cloud platform that offers an extensive range of services, from the popular Elastic Compute Cloud (EC2) and Simple Storage Service (S3) to platform-as-a-service (PaaS) offerings. AWS provides a variety of tools for data analysis, including Amazon OpenSearch Service, dashboards and visualizations, Amazon Machine Learning (ML), Amazon Kinesis, Amazon EMR, Amazon CloudSearch, Amazon Redshift, and AWS Glue. Amazon OpenSearch Service is a managed search service that helps you configure, manage, and scale search solutions implemented in websites or applications. It supports 34 languages and offers features such as autocomplete, geospatial search, and highlighting.

Amazon Machine Learning (ML) enables you to improve your applications with predictive capabilities. You can use Amazon Kinesis to collect media data in real time and then let Amazon ML generate relevant predictions. Amazon EMR is a managed cluster platform that allows you to perform data transformations (ETL) in Apache Hadoop. You can load the processed data into Amazon Redshift and prepare it for analysis and business intelligence (BI) processes.

Amazon CloudSearch offers managed search capabilities with functions for configuring, managing and scaling search solutions implemented in websites or applications. Amazon Redshift is a highly scalable, fast and cost-effective data warehouse. To provide fast performance, Amazon Redshift leverages machine learning by running queries in parallel and storing them in columns on a high-performance disk. AWS Glue is an extract, transform, and load (ETL) service that makes it easy to manage data.

It's fully managed and cost-effective, allowing you to classify, clean, enrich and transfer data. AWS Glue has no servers and includes a data catalog, a programmer, and an ETL engine that automatically generates Scala or Python code. AWS Glue manages semi-structured data and provides dynamic frameworks that can be used in ETL scripts. Dynamic frameworks are a form of data abstraction that you can use to organize your data. They offer advanced schema flexibility and transformations and are compatible with Spark data frameworks.

The AWS Glue console allows you to discover data sources, transform them, and monitor ETL processes. You can also access Glue from AWS services or other applications using the AWS Glue API. Video content is becoming increasingly important for organizations to create and manage. To process this type of content effectively, Amazon Kinesis Video Streams is a fully managed service for streaming live video to the AWS cloud, processing videos in real time, and performing batch-oriented analysis. You can use the service to store video data, access video content in real time as it is uploaded to the cloud, and monitor live broadcasts.

The result of this data processing can be transferred to other AWS services such as S3, RDS, DynamoDB and EMR.