- Automates loading data into BigQuery from YouTube, AdWords, and DoubleClick.
- Allows organizations to easily use MapReduce, Pig, Hive, and Spark to process data before storing it, for example, in Cloud Storage or BigQuery.
- Scales up to handle massive computing loads quickly and eﬃciently.
- Analyzes data to capture insights to be used for more informed decision making.
Standard connectors and standard tools that allow for seamless integrations with existing SQL workﬂows. Regional buckets that enable faster access from storage to compute servers within the region. Fully managed relational database services that use edge caching to provide performance. Application patches and updates that optimize data processing when it comes to leveraging user data. […]
Is a tool for developing and executing a wide range of data processing patterns on very large datasets. Is how you retrieve information from a database. Is focused on enabling computers to recognize patterns in data—without humans telling the computer how to recognize the patterns. Is a service to help capture data and rapidly pass massive […]
Google bills in per-second increments, so you only pay for the compute time you use. With sustained use discounts, Google automatically gives discounted prices for long-running workloads with no up-front commitment required. Google can capture up to a petabyte of data on one Transfer Appliance without impacting the outbound network. Google-grade data centers give you […]