AWS Big Data Blog

Social gaming and online sports betting are competitive environments. The game must be able to handle large volumes of unpredictable traffic while simultaneously promising zero downtime. In this domain, user retention is no longer just desirable, it’s critical. William Hill is a global online gambling company based in London, England, and it is the founding […]

Amazon Redshift is a fast, scalable, secure, and fully-managed cloud data warehouse that makes it simple and cost-effective to analyze all of your data using standard SQL. Amazon Redshift has comprehensive security capabilities to satisfy the most demanding requirements. To help you to monitor the database for security and troubleshooting purposes, Amazon Redshift logs information […]

Amazon QuickSight is a fully-managed, cloud-native business intelligence (BI) service that makes it easy to connect to your data, create interactive dashboards, and share these with tens of thousands of users, either within the QuickSight interface or embedded in software as a service (SaaS) applications or web portals. With QuickSight providing insights to power your […]

Amazon Keyspaces (for Apache Cassandra) is a scalable, highly available, and managed Apache Cassandra–compatible database service. With Amazon Keyspaces you don’t have to provision, patch, or manage servers, and you don’t have to install, maintain, or operate software. Amazon Keyspaces is serverless, so you only pay for the resources that you use. You can use […]

Amazon Redshift is a fast, petabyte-scale cloud data warehouse delivering the best price-performance. Tens of thousands of customers use Amazon Redshift to analyze exabytes of data per day and power analytics workloads such as BI, predictive analytics, and real-time streaming analytics without having to manage the data warehouse infrastructure. It natively integrates with other AWS […]

Amazon EMR is a cloud big data platform for running large-scale distributed data processing jobs, interactive SQL queries, and machine learning (ML) applications using open-source analytics frameworks such as Apache Spark, Apache Hive, and Presto. Amazon EMR launches all nodes for a given cluster in the same Amazon Elastic Compute Cloud (Amazon EC2) Availability Zone […]

Amazon EMR is a cloud big data platform for running large-scale distributed data processing jobs, interactive SQL queries, and machine learning (ML) applications using open-source analytics frameworks such as Apache Spark, Apache Hive, and Presto. Apache Iceberg is an open table format for huge analytic datasets. Table formats typically indicate the format and location of […]

Amazon QuickSight is a scalable, serverless, embeddable, machine learning (ML)-powered business intelligence (BI) service built for the cloud that supports identity federation in both Standard and Enterprise editions. Organizations are working towards centralizing their identity and access strategy across all their applications, including on premises, third-party, and applications on AWS. Many organizations use identity providers […]

Modern data architectures encourage the integration of data lakes, data warehouses, and purpose-built data stores, enabling unified governance and easy data movement. With a modern data architecture on AWS, you can store data in a data lake and use a ring of purpose-built data services around the lake, allowing you to make decisions with speed […]

In this post, we discuss how to use AWS Database Migration Service (AWS DMS) native change data capture (CDC) capabilities to stream changes into Amazon Kinesis Data Streams. AWS DMS is a cloud service that makes it easy to migrate relational databases, data warehouses, NoSQL databases, and other types of data stores. You can use […]