Category: *Post Types

June 2024: This post was reviewed for accuracy and updated to cover Apache Iceberg. June 2023: This post was reviewed and updated for accuracy. Customers are increasingly building data lakes to store data at massive scale in the cloud. It’s common to use distributed computing engines, cloud-native databases, and data warehouses when you want to […]

Personally identifiable information (PII) data handling is a common requirement when operating a data lake at scale. Businesses often need to mitigate the risk of exposing PII data to the data science team while not hindering the productivity of the team to get to the data they need in order to generate valuable data insights. […]

Apache Hudi is an open-source transactional data lake framework that greatly simplifies incremental data processing and data pipeline development. It does this by providing transaction support and record-level insert, update, and delete capabilities on data lakes on Amazon Simple Storage Service (Amazon S3) or Apache HDFS. Apache Hudi is integrated with open-source big data analytics […]

Customers are migrating data warehouses to Amazon Redshift because it’s fast, scalable, and cost-effective. However, data warehouse migration projects can be complex and challenging. In this post, I help you understand the common drivers of data warehouse migration, migration strategies, and what tools and services are available to assist with your migration project. Let’s first […]

Amazon Athena is a serverless interactive query service that makes it easy to analyze data in Amazon Simple Storage Service (Amazon S3) using standard SQL, and you only pay for the amount of data scanned by your queries. If you use SQL to analyze your business on a daily basis, you may find yourself repeatedly […]

Many customers already manage user identities through identity providers (IdPs) for single sign-on access. With an IdP such as Active Directory Federation Services (AD FS), you can set up federated access to Amazon Redshift clusters as a mechanism to control permissions for the database objects by business groups. This provides a seamless user experience, and centralizes the governance […]

This is a guest post by Kanti Chalasani, Division Director at Georgia Data Analytics Center (GDAC). GDAC is housed within the Georgia Office of Planning and Budget to facilitate governed data sharing between various state agencies and departments. The Office of Planning and Budget (OPB) established the Georgia Data Analytics Center (GDAC) with the intent […]

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. Amazon EventBridge is a serverless event bus that makes it easy to build event-driven applications at scale using events generated from your applications, integrated software as a service (SaaS) applications, and AWS […]

This post is authored by Giridhar G Jorapur, GE Aviation Digital Technology. Maintenance and overhauling of aircraft engines are essential for GE Aviation to increase time on wing gains and reduce shop visit costs. Engine wash analytics provide visibility into the significant time on wing gains that can be achieved through effective water wash, foam […]

ENGIE—one of the largest utility providers in France and a global player in the zero-carbon energy transition—produces, transports, and deals electricity, gas, and energy services. With 160,000 employees worldwide, ENGIE is a decentralized organization and operates 25 business units with a high level of delegation and empowerment. ENGIE’s decentralized global customer base had accumulated lots […]