AWS Analytics: Overview
Analytics: Consummate Technologies provides the broadest, and most cost-effective set of analytic services that run on the data lake. Each analytic service is purpose-built for a wide range of analytics use cases such as interactive analysis, big data processing using Apache Spark and Hadoop, data warehousing, real-time analytics, operational analytics, dashboards, and visualizations.
Interactive Analytics:
For interactive analysis, Amazon Athena makes it easy to analyze data directly in S3 and Glacier using standard SQL queries. Athena is serverless, so there is no infrastructure to setup or manage. You can start querying data instantly, get results in seconds and pay only for the queries you run. Simply point to your data in Amazon S3, define the schema, and start querying using standard SQL. Most results are delivered within seconds.
Dashboards and Visualizations:
For dashboards and visualizations, Amazon QuickSight provides you a fast, cloud-powered business analytics service, that that makes it easy to build stunning visualizations and rich dashboards that can be accessed from any browser or mobile device.
Big Data Processing:
For big data processing using the Spark and Hadoop frameworks, Amazon EMR provides a managed service that makes it easy, fast, and cost-effective to process vast amounts data. Amazon EMR supports 19 different open- source projects including Hadoop, Spark, HBase, and Presto, with managed EMR Notebooks for data engineering, data science development, and collaboration. Each project is updated in EMR within 30 days of a version release, ensuring you have the latest and greatest from the community, effortlessly.
Data Warehousing:
For data warehousing, Amazon Redshift provides the ability to run complex, analytic queries against petabytes of structured data, and includes RedshiftSpectrum that runs SQL queries directly against Exabytes of structured or unstructured data in S3 without the need for unnecessary data movement. Amazon Redshift is less than a tenth of the cost of traditional solutions.
Real-Time Analytics:
For real-time analytics, Amazon Kinesis makes it easy to collect, process and analyze streaming data such as IoT telemetry data, application logs, and website clickstreams. This enable you to process, and analyze data as it arrives in your data lake, and respond in real-time instead of having to wait until all your data is collected before the processing can begin.
Operational Analytics:
For operational analytics such as application monitoring, log analytics and clickstream analytics, Amazon Elasticsearch Service allows you to search, explore, filter, aggregate, and visualize your data in near real-time. Amazon Elasticsearch Service delivers Elasticsearch’s easy-to-use APIs and real-time analytics capabilities alongside the availability, scalability, and security that production workloads require.