Systems | Development | Analytics | API | Testing

The open data lakehouse is quickly becoming the standard architecture for unified multifunction analytics on large volumes of data. It combines the flexibility and scalability of data lake storage with the data analytics, data governance, and data management functionality of the data warehouse.

As a serverless, managed service, the new BigQuery Engine for Apache Flink helps organizations bring real-time streaming data to Google AI services.

Support for conversational data agents with Gemini and enhancements to BigQuery provide a unified data platform for connecting all your data to AI.

Built on BigQuery, Dataplex provides data governance with automated data discovery, curation and management at scale.

In today’s fast-paced digital environment, delivering value quickly is critical to staying competitive and gaining buy-in from both stakeholders and customers. One of the key enablers of this rapid value delivery is embedded analytics, a business solution that allows you to integrate interactive data visualizations and business intelligence (BI) features directly into your existing applications.

After a short break, we’re back with Part 2 of this series on Spring Framework, Confluent Cloud, and the Kotlin language. Many organizations that write applications and microservices for the JVM have chosen Spring Framework, leveraging the many libraries available for features such as REST services, persisting data to a variety of datastores, and integration with messaging. These organizations have existing investments in building, testing, deploying, and monitoring applications using Spring.

Replicating databases in regulated environments starts with syncing data sources while ensuring the data never leaves the secure perimeter of the cloud or on-premises network.

BigQuery’s pipe syntax introduces an intuitive, top-down syntax for understanding data transformations, and is used in Cloud Logging Log Analytics.

A partnership between Google Cloud and Gretel lets data engineers generate synthetic data within BigQuery.

Oracle-driven finance teams today face increasingly complex challenges. In recent years, the finance function has had to adapt to become more flexible as they navigate market upheaval, global inflation, and rapid changes to technology. This year, an Oracle survey of CFOs reveals CFO’s top challenges include navigating the need to cut costs, retaining talent within the finance function, and focusing on more accurate forecasting.