Tuesday, December 24, 2019

CLOUD DATA TRANSFER


Whether you are in Denver, Colorado or Denmark, whether you have 50 Gigabytes or 50 Petabytes of data, whether you have access to a T1 line or a 10 Gbps network connection, Google offers solutions to meet your unique data transfer needs and get your data on the cloud quickly and securely.


Online Transfer
Use your network to move data to Google Cloud Storage.


Cloud Storage Transfer Service
Transfer your data from one cloud to another.


Transfer Appliance
Securely capture, ship, and upload your data to Google Cloud Storage using the Transfer Appliance 100 TB or 480 TB models.


BigQuery Data Transfer Service
Schedule and automate data transfers from your SaaS applications to Google BigQuery.

Choose the Right Service

Data Center Migration

The data you create and store on-premises takes relentless focus and significant resources to manage it cost-effectively, securely, and reliably. As organizations face exponential growth of their data many are turning to the cloud to scale with them in their efforts. For your structured and unstructured data sets, whether they are small and frequently accessed or huge and rarely referenced, Google offers solutions to migrate that data quickly to Google Cloud Storage BigQuery or Dataproc.



Decommission Tape Libraries and Infrastructure

Many organizations accumulate vast libraries of magnetic tape as they copy data for backup, archival or disaster recovery purposes. While critical in the event of a disaster, data on tape does not provide any value to your users and requires cumbersome infrastructure to maintain. Working with our many partners, you can easily transfer data from tape to Google Cloud Storage. Once in Google Cloud you can generate new insights with advanced analytics, discover it more easily for regulatory and legal purposes and apply machine learning.



Machine Learning

Once transferred to Google Cloud Storage or BigQuery your data is accessible via our Google Cloud Dataflow processing service for machine learning projects. Google Cloud Machine Learning Engine is a managed service that enables you to easily build machine learning models, that work on any type of data, of any size. Create your model with the powerful TensorFlow framework that powers many Google products, from Google Photos to Google Cloud Speech. Build models of any size with our managed scalable infrastructure. Your trained model is immediately available for use with our global prediction platform that can support thousands of users and TBs of data.



Content Storage and Delivery

If you need to serve users around the world with the highest availability, Google offers multi-regional setups designed for video streaming and frequently accessed content like web sites and images. For analytics and batch processing, regional setups are available to meet the unique requirements of those workloads. For content-rich use cases like these you can choose a data transfer option that will have minimal impact on your network while moving large amounts of data.



Backup and Archival

With increased frequency of cloud outages you need to ensure your data is always available. Using our data transfer services you can easily backup data from another cloud storage provider to Google Cloud Storage. You can ensure your data is retained cost-effectively by taking advantage of ultra low-cost, highly-durable and highly available archival storage offered through Google’s Nearline and Coldline storage classes. Object lifecycle management enables this automatically, transitioning data from one storage class to the next depending on your business’s cost and availability needs at the time.

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