Category: Advanced (300)

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon Simple Storage Service (Amazon S3) and data sources residing in AWS, on-premises, or other cloud systems using SQL or Python. Athena is built on open-source Trino and Presto engines, and Apache Spark frameworks, with no provisioning or configuration effort […]

Organizations use data from many sources to understand, analyze, and grow their business. These data sources are often spread across various public cloud providers. Enterprises may also expand their footprint by mergers and acquisitions, and during such events they often end up with data spread across different public cloud providers. These scenarios can create the […]

Organizations across the world are increasingly relying on streaming data, and there is a growing need for real-time data analytics, considering the growing velocity and volume of data being collected. This data can come from a diverse range of sources, including Internet of Things (IoT) devices, user applications, and logging and telemetry information from applications, […]

Amazon EMR is the industry-leading cloud big data solution, providing a collection of open-source frameworks such as Spark, Hive, Hudi, and Presto, fully managed and with per-second billing. Amazon EMR on Amazon EKS is a deployment option allowing you to deploy Amazon EMR on the same Amazon Elastic Kubernetes Service (Amazon EKS) clusters that is […]

Business intelligence (BI) and IT operations (BIOps) teams often need to automate and accelerate the deployment of BI assets to ensure business continuity. We heard that you wanted an automated and scalable way to deploy, back up, and replicate Amazon QuickSight assets at scale so that BIOps teams within your organization can work in an […]

Amazon EMR on EKS provides a deployment option for Amazon EMR that allows organizations to run open-source big data frameworks on Amazon Elastic Kubernetes Service (Amazon EKS). With EMR on EKS, Spark applications run on the Amazon EMR runtime for Apache Spark. This performance-optimized runtime offered by Amazon EMR makes your Spark jobs run fast […]

AWS Glue Data Quality allows you to measure and monitor the quality of data in your data repositories. It’s important for business users to be able to see quality scores and metrics to make confident business decisions and debug data quality issues. AWS Glue Data Quality generates a substantial amount of operational runtime information during […]

Alerts and notifications play a crucial role in maintaining data quality because they facilitate prompt and efficient responses to any data quality issues that may arise within a dataset. By establishing and configuring alerts and notifications, you can actively monitor data quality and receive timely alerts when data quality issues are identified. This proactive approach […]

Data is the lifeblood of modern businesses. In today’s data-driven world, companies rely on data to make informed decisions, gain a competitive edge, and provide exceptional customer experiences. However, not all data is created equal. Poor-quality data can lead to incorrect insights, bad decisions, and lost opportunities. AWS Glue Data Quality measures and monitors the […]

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning (ML), and application development. You can use AWS Glue to create, run, and monitor data integration and ETL (extract, transform, and load) pipelines and catalog your assets across multiple data stores. Hundreds of […]