AWS Big Data Blog
Category: Advanced (300)
Improve the resilience of Amazon Managed Service for Apache Flink application with system-rollback feature
This post explores how to use the system-rollback feature in Managed Service for Apache Flink.We discuss how this functionality improves your application’s resilience by providing a highly available Flink application. Through an example, you will also learn how to use the APIs to have more visibility of the application’s operations.
Use AWS Glue to streamline SFTP data processing
In this blog post, we explore how to use the SFTP Connector for AWS Glue from the AWS Marketplace to efficiently process data from Secure File Transfer Protocol (SFTP) servers into Amazon Simple Storage Service (Amazon S3), further empowering your data analytics and insights.
How AppsFlyer modernized their interactive workload by moving to Amazon Athena and saved 80% of costs
AppsFlyer develops a leading measurement solution focused on privacy, which enables marketers to gauge the effectiveness of their marketing activities and integrates them with the broader marketing world, managing a vast volume of 100 billion events every day. This post explores how AppsFlyer modernized their Audiences Segmentation product by using Amazon Athena.
Introducing AWS Glue Data Quality anomaly detection
We are excited to announce the general availability of anomaly detection capabilities in AWS Glue Data Quality. In this post, we demonstrate how this feature works with an example. We provide an AWS Cloud Formation template to deploy this setup and experiment with this feature.
Build a real-time analytics solution with Apache Pinot on AWS
In this, we will provide a step-by-step guide showing you how you can build a real-time OLAP datastore on Amazon Web Services (AWS) using Apache Pinot on Amazon Elastic Compute Cloud (Amazon EC2) and do near real-time visualization using Tableau. You can use Apache Pinot for batch processing use cases as well but, in this post, we will focus on a near real-time analytics use case.
Create a customizable cross-company log lake for compliance, Part I: Business Background
As builders, sometimes you want to dissect a customer experience, find problems, and figure out ways to make it better. That means going a layer down to mix and match primitives together to get more comprehensive features and more customization, flexibility, and freedom. In this post, we introduce Log Lake, a do-it-yourself data lake based on logs from CloudWatch and AWS CloudTrail.
Federating access to Amazon DataZone with AWS IAM Identity Center and Okta
Many customers rely today on Okta or other identity providers (IdPs) to federate access to their technology stack and tools. With federation, security teams can centralize user management in a single place, which helps simplify and brings agility to their day-to-day operations while keeping highest security standards. To help develop a data-driven culture, everyone inside […]
Monitoring Apache Iceberg metadata layer using AWS Lambda, AWS Glue, and AWS CloudWatch
In the era of big data, data lakes have emerged as a cornerstone for storing vast amounts of raw data in its native format. They support structured, semi-structured, and unstructured data, offering a flexible and scalable environment for data ingestion from multiple sources. Data lakes provide a unified repository for organizations to store and use […]
Migrate from Apache Solr to OpenSearch
OpenSearch is an open source, distributed search engine suitable for a wide array of use-cases such as ecommerce search, enterprise search (content management search, document search, knowledge management search, and so on), site search, application search, and semantic search. It’s also an analytics suite that you can use to perform interactive log analytics, real-time application […]
Improve your Amazon OpenSearch Service performance with OpenSearch Optimized Instances
Amazon OpenSearch Service introduced the OpenSearch Optimized Instances (OR1), deliver price-performance improvement over existing instances. The newly introduced OR1 instances are ideally tailored for heavy indexing use cases like log analytics and observability workloads. OR1 instances use a local and a remote store. The local storage utilizes either Amazon Elastic Block Store (Amazon EBS) of […]