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

Basel 3.1 marks a transformative revision to the Basel 3 Regulatory framework, created in response to the 2008 Financial Crisis. Research shows that nearly 60% of global banks are struggling to fully comply with these new regulations designed to reshape the financial sector. The stringent standards, particularly in critical areas like capital and risk management—specifically for credit and market risk—are further compounded by tight deadlines.

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.

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

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

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.

The evolving market landscape is driving an urgent need for a unified EPM solution, as finance teams face increasing pressures from several fronts. Rapid technological advancements, heightened competition, and the growing complexity of global markets have made financial agility and real-time decision-making critical to maintaining a competitive edge.

Today, there are approximately 7 million people who say they wouldn’t be able to survive without their gadgets. Because of this, businesses must modify their websites and applications to cater to their client’s expectations. Emerging patterns prompt businesses to consider creating iOS and Android mobile apps with the top framework libraries that may greatly streamline and accelerate the development process.

N+1 queries are a frequent issue in complex applications built with Elixir and Phoenix. These queries can silently degrade application performance, often going unnoticed until they've compounded into a significant problem. They can substantially increase web page load times, as each additional query adds overhead to a database, consuming more time and resources. That's why it's crucial to detect and resolve N+1 queries to optimize production systems.