AWS Big Data Blog

Category: Analytics

Real-time inference using deep learning within Amazon Managed Service for Apache Flink

August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. Apache Flink is a framework and distributed processing engine for stateful computations over data streams. Amazon Managed Service for Apache Flink is a fully managed service that […]

Configure Amazon OpenSearch Service for high availability

Amazon OpenSearch Service is a fully open-source search and analytics engine that securely unlocks real-time search, monitoring, and analysis of business and operational data for use cases like recommendation engines, ecommerce sites, and catalog search. To be successful in your business, you need your systems to be highly available and performant, minimizing downtime and avoiding […]

Trakstar unlocks new analytical opportunities for its HR customers with Amazon QuickSight

This is a guest post by Brian Kasen and Rebecca McAlpine from Trakstar, now a part of Mitratech. Trakstar, now a part of Mitratech, is a human resources (HR) software company that serves customers from small businesses and educational institutions to large enterprises, globally. Trakstar supercharges employee performance around pivotal moments in talent development. Our […]

Join a streaming data source with CDC data for real-time serverless data analytics using AWS Glue, AWS DMS, and Amazon DynamoDB

Customers have been using data warehousing solutions to perform their traditional analytics tasks. Recently, data lakes have gained lot of traction to become the foundation for analytical solutions, because they come with benefits such as scalability, fault tolerance, and support for structured, semi-structured, and unstructured datasets. Data lakes are not transactional by default; however, there […]

Automate alerting and reporting for AWS Glue job resource usage

Data transformation plays a pivotal role in providing the necessary data insights for businesses in any organization, small and large. To gain these insights, customers often perform ETL (extract, transform, and load) jobs from their source systems and output an enriched dataset. Many organizations today are using AWS Glue to build ETL pipelines that bring data […]

Defontana provides business administration solutions to Latin American customers using Amazon QuickSight

This is a guest post by Cynthia Valeriano, Jaime Olivares, and Guillermo Puelles from DeFontana. Defontana develops fully cloud-based business applications for the administration and management of companies. Based in Santiago, Chile, with operations in Peru, Mexico, and most recently Colombia, our main product is a 100% cloud-based enterprise resource planning (ERP) system that has […]

Improve operational efficiencies of Apache Iceberg tables built on Amazon S3 data lakes

Apache Iceberg is an open table format for large datasets in Amazon Simple Storage Service (Amazon S3) and provides fast query performance over large tables, atomic commits, concurrent writes, and SQL-compatible table evolution. When you build your transactional data lake using Apache Iceberg to solve your functional use cases, you need to focus on operational […]

Real-time time series anomaly detection for streaming applications on Amazon Managed Service for Apache Flink

August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. Detecting anomalies in real time from high-throughput streams is key for informing on timely decisions in order to adapt and respond to unexpected scenarios. Stream processing frameworks […]

Simplify AWS Glue job orchestration and monitoring with Amazon MWAA

Organizations across all industries have complex data processing requirements for their analytical use cases across different analytics systems, such as data lakes on AWS, data warehouses (Amazon Redshift), search (Amazon OpenSearch Service), NoSQL (Amazon DynamoDB), machine learning (Amazon SageMaker), and more. Analytics professionals are tasked with deriving value from data stored in these distributed systems […]

Dive deep into AWS Glue 4.0 for Apache Spark

Jul 2023: This post was reviewed and updated with Glue 4.0 support in AWS Glue Studio notebook and interactive sessions. Deriving insight from data is hard. It’s even harder when your organization is dealing with silos that impede data access across different data stores. Seamless data integration is a key requirement in a modern data […]