Understand and manage data at scale with Cloud Storage Insights
With Cloud Storage, organizations can scale cloud storage usage from terabytes (TBs) to exabytes (EBs) without being constrained by infrastructure or scalability. But, when data volume increases, it gets harder to efficiently discover and manage that data, which can cause problems such as security flaws and…
How to migrate Cloud Storage data from multi-region to regional
There are many considerations to take into account when choosing the location type of your Cloud Storage bucket. However, as business needs change, you may find that regional storage offers lower cost and/or better performance than multi-region or dual-region storage. By design, once your data is already…
Transfer data from AWS to GCP using Storage Transfer Service
Overview Storage Transfer Service enables users to quickly and securely transfer data to, from, and between object and file storage systems, including Google’s Cloud Storage, Amazon S3, Azure Blob Storage, and on-premises data. This blog walks you through the process of transferring data from AWS…
Introducing gcloud storage: up to 94% faster data transfers for Cloud Storage
Cloud Storage customers often ask us about the fastest way to ingest and retrieve data from their buckets. Getting the best performance often requires the users to know the right flags and parameters to optimize transfer speeds. In many situations, customers are using Cloud Storage…
Moving data from the mainframe to the cloud made easy
IBM mainframes have been around since the 1950s and are still vital for many organizations. In recent years many companies that rely on mainframes have been working towards migrating to the cloud. This is motivated by the need to stay relevant, the increasing shortage of…
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Recent Posts
- Find key insights with contribution analysis in BigQuery ML
- Secure your data ecosystem: a multi-layered approach with Google Cloud
- Gemini for Google Workspace now supports additional languages
- 5 ways small business owners can use Gemini for Workspace to plan for the holiday season and New Year
- Vertex AI grounding: More reliable models, fewer hallucinations
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