Google Cloud has updated its collection of security blueprints with the addition of a Secure Data Warehouse Blueprint ... security services built into the architecture, but how they work together ...

This blog post uses Google Cloud to demonstrate data preparation as a new approach to designing and automating a data warehouse pipeline. In the Google Cloud, we can leverage Cloud Dataprep by ...

Cloud data warehouse solutions like Google BigQuery, Snowflake, Redshift and Azure SQL/DW are cloud hosted data warehouses based on modern architectures that do away with the traditional ...

Rohit Amarnath is CTO of Vertica, a unified analytics platform that enables predictive business insights based on a scalable architecture ... in the cloud will also have its own data plane ...

At its Cloud Data Summit, Google today announced the preview launch of BigLake, a new data lake storage engine that makes it easier for enterprises to analyze the data in their data warehouses and ...

and it introduced a preview of machine-learning capabilities for its BigQuery data warehouse Wednesday at Google Cloud Next 2018. BigQuery customers will be able to train machine-learning models ...

The components of the reference architecture that run in the cloud make use of several different Google Cloud services. Encryption keys used to secure sensitive data will be managed with the ...

The N-iX team has helped the client significantly reduce their expenses by migrating their MS SQL Server infrastructure to Google Cloud's BigQuery, developing a unified data warehouse and ...

Google Cloud’s BigQuery service just added 11 blockchain networks to its data warehouse, according to a Sept. 21 blog post. The new networks include Avalanche, Arbitrum, Cronos, Ethereum’s ...

Databricks, AWS and Google Cloud are among ... tools are used to migrate data from disparate sources, preprocess the data and load it into a target system or data warehouse. The process often ...