Core Google Cloud offerings
Our expertise (47)
Areas of specializations
Specialization in data analytics involves multiple successful implementations of Big Data platforms using Google Cloud Platform that involves data ingestion, preparation, storage and analysis, in batch and real-time.
Google Cloud Platform products that are included in this specialization are BigQuery, Cloud Dataflow, Cloud Dataproc, Cloud Datalab and Cloud Pub/Sub.
A machine learning specialization is based on demonstrable success with data exploration, preprocessing, model training, model evaluation, model deployment, online prediction and Google’s pre-trained machine learning APIs.
Google Cloud Platform products that are included in this specialization are TensorFlow, Cloud Machine Learning Engine, Cloud Jobs API, Cloud Natural Language API, Cloud Speech API, Cloud Translation API, Cloud Video Intelligence API, Cloud Vision API, AutoML, BigQuery, Dataflow, and Dataproc.
A specialization in cloud migration comes from a history of repeatably building successful foundational architectures and migrating a significant number of customer workloads from either on-premises or other cloud providers to Google Cloud Platform.
Google Cloud Platform products involved in this specialization include Compute Engine, Kubernetes Engine, Cloud SQL, Cloud Datastore, BigQuery, Persistent Disk, Cloud Storage, Cloud Spanner.
Specialization in cloud infrastructure rests on large-scale enterprise cloud enablement programs that include architecting, building and migrating on-premise infrastructure and workflows to Google Cloud Platform.
Google Cloud Platform products included in this specialization are Compute Engine, Kubernetes Engine, Stackdriver, Virtual Private Cloud, Cloud Load Balancing, Cloud Interconnect, Cloud CDN, Cloud DNS, Network Service Tiers, Cloud NAT, Persistent Disk, Cloud IAM and Cloud Key Management Service.
News & Insights
Grid Dynamics is offering the new Churn Analytics Starter Kit as part of its growing suite of pre-packaged accelerators designed to help customers reduce costs and improve operational and development efficiencies.
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