AWS Big Data Blog

Category: Analytics

Introducing Embedded Analytics Data Lab to accelerate integration of Amazon QuickSight analytics into applications

We are excited to announce Embedded Analytics Data Lab (EADL), a no-cost collaborative engagement that helps engineering and development teams cut down time required to launch applications with embedded analytics from Amazon QuickSight in production by providing hands-on guidance and architectural best practices. Embedding rich analytics such as interactive visuals and dashboards directly into applications […]

Optimize your Amazon Redshift query performance with automated materialized views

Amazon Redshift is a fast, fully managed cloud data warehouse database that makes it cost-effective to analyze your data using standard SQL and business intelligence tools. Amazon Redshift allows you to analyze structured and semi-structured data and seamlessly query data lakes and operational databases, using AWS designed hardware and automated machine learning (ML)-based tuning to […]

Achieve fine-grained data security with row-level access control in Amazon Redshift

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. With Amazon Redshift, you can analyze all your data to derive holistic insights about your business and your customers. One of the challenges with security is that enterprises want to provide fine-grained access control at the row level for sensitive data. You […]

Use Amazon Athena parameterized queries to provide data as a service

Amazon Athena now provides you more flexibility to use parameterized queries, and we recommend you use them as the best practice for your Athena queries moving forward so you benefit from the security, reusability, and simplicity they offer. In a previous post, Improve reusability and security using Amazon Athena parameterized queries, we explained how parameterized […]

Accelerate machine learning with AWS Data Exchange and Amazon Redshift ML

July 2023: This post was reviewed for accuracy and updated. Amazon Redshift ML makes it easy for SQL users to create, train, and deploy ML models using familiar SQL commands. Redshift ML allows you to use your data in Amazon Redshift with Amazon SageMaker, a fully managed ML service, without requiring you to become an […]

Analyze logs with Dynatrace Davis AI Engine using Amazon Kinesis Data Firehose HTTP endpoint delivery

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. This blog post is co-authored with Erick Leon, Sr. Technical Alliance Manager from Dynatrace. Amazon Kinesis Data Firehose is the easiest way to reliably load streaming data into data lakes, data stores, and […]

How William Hill migrated NoSQL workloads at scale to Amazon Keyspaces

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 […]

Use AWS CloudWatch as a destination for Amazon Redshift Audit logs

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 […]

Monitor your Amazon QuickSight deployments using the new Amazon CloudWatch integration

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 […]

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Sink Amazon Kinesis Data Analytics Apache Flink output to Amazon Keyspaces using Apache Cassandra Connector

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. 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 […]