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Create an Apache Hudi-based near-real-time transactional data lake using AWS DMS, Amazon Kinesis, AWS Glue streaming ETL, and data visualization using Amazon QuickSight

AWS Big Data

Data analytics on operational data at near-real time is becoming a common need. Due to the exponential growth of data volume, it has become common practice to replace read replicas with data lakes to have better scalability and performance. For more information, see Changing the default settings for your data lake.

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Implement alerts in Amazon OpenSearch Service with PagerDuty

AWS Big Data

This data is often stored and analyzed using various tools, such as Amazon OpenSearch Service , a powerful search and analytics service offered by AWS. OpenSearch Service provides real-time insights into your data to support use cases like interactive log analytics, real-time application monitoring, website search, and more.

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Access Amazon Athena in your applications using the WebSocket API

AWS Big Data

Many organizations are building data lakes to store and analyze large volumes of structured, semi-structured, and unstructured data. In addition, many teams are moving towards a data mesh architecture, which requires them to expose their data sets as easily consumable data products.

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Power enterprise-grade Data Vaults with Amazon Redshift – Part 2

AWS Big Data

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

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Introducing Amazon EMR on EKS job submission with Spark Operator and spark-submit

AWS Big Data

Verify the job by running the following command: kubectl get pods -n data-team-a Enable access to the Spark UI The Spark UI is an important tool for data engineers because it allows you to track the progress of tasks, view detailed job and stage information, and analyze resource utilization to identify bottlenecks and optimize your code.

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Automate deployment of an Amazon QuickSight analysis connecting to an Amazon Redshift data warehouse with an AWS CloudFormation template

AWS Big Data

Prerequisites Before setting up the CloudFormation stacks, you must have an AWS account and an AWS Identity and Access Management (IAM) user with sufficient permissions to interact with the AWS Management Console and the services listed in the architecture. Choose the data source you created in the previous step. Choose Use custom SQL.

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Accelerating revenue growth with real-time analytics: Poshmark’s journey

AWS Big Data

Although these batch analytics-based efforts were successful to some extent, they saw opportunities to improve the customer experience with real-time personalization and security guidance during the customer’s interaction with the Poshmark app. They wanted to use these events to identify and analyze user sessions to track behavior.