Many CIOs are doubling down on their data analytics strategies to achieve business goals.

Discover best practices that allow data pipelines to scale and support both structured and unstructured data.

With over 40 professional architects, iKala "GCP.expert" utilize GCP machine learning tools, such as AutoML and TensorFlow, to help corporates build precise customer analytics model from their data.

Google brings Cloud Monitoring metrics in BigQuery as a new capability in preview to combine billing data with resource utilization metrics. The combination allows users to perform detailed cost ...

Sumo Logic is one of the first in the industry to release a comprehensive set of applications for GCP that enable real-time collection and analytics of machine data emitted by all major GCP services.

Snowflake SNOW and Teradata TDC are major players in the cloud analytics industry. While Snowflake provides a cloud-based platform that helps organizations store, manage and analyze large volumes ...

Most enterprises are adopting GCP for its core strengths of data analytics, sustainability and alignment with cloud-native technologies, the report says.

The company’s GCP services combine OracleBio’s image analysis and pathology expertise in a regulated working environment to provide quality assured data.

A technical paper titled “Darwin: A DRAM-based Multi-level Processing-in-Memory Architecture for Data Analytics” was published by researchers at Korea Advanced Institute of Science & Technology (KAIST ...

Confidential computing is among the techniques GCP uses to secure data, as Porter explains: “Confidential computing is a very interesting term and it's come from the concept of computing.