Favourite tutorials for developers
AWS has a lot of applications to support Big Data Management and Analytics, including: Amazon Athena, Amazon EMR, Amazon CloudSearch, Amazon Elasticsearch Service, Amazon Kinesis, Amazon Kinesis Data Firehose, Amazon Kinesis Data Analytics, Amazon Kinesis Data Streams, Amazon Kinesis Video Streams, Amazon Redshift, Amazon QuickSight, AWS Data Pipeline, AWS Glue, AWS Lake Formation, Amazon Managed Streaming for Apache Kafka (Amazon MSK)
AWS has launched the Amazon Kinesis service that is famous for real-time big data processing and ingestion. Amazon Kinesis offers key capabilities and functionalities such as processing of streaming data cost-effectively at any scale as well as flexibility feature to opt for the tools best suit the requirements of the application. In this blog, we are going to cover everything that you need to understand about Amazon Kinesis.
Amazon Redshift has been undergoing several enhancements since 2013. One of the critical aspects of this endeavor was moving data to the “Serverless” Amazon Redshift Spectrum. This data storage solution has a massively-scalable feature, with a serverless query processing engine to allow joining data, that sits in Amazon S3 with data in Amazon Redshift. In this blog, we’ll give you insights on the tactful techniques to gather and process large data columns for better decision-making.
by 