google cloud for executives
Migration to GCP

Migration to GCP Seminar

  •  Migration from your data center to a public cloud platform requires tons of planning and assessments.
  • A single mis-step could cost your company both, dollars and downtime.
  • How do you protect against mistakes while moving your most precious assets to the public cloud?

This Migration to GCP Executive Seminar was designed to address several of such potential hazards.

  • Consider an app by app readiness assessment, by isolating each tier of each app.
  • Consider network readiness assessments, by looking at the networking components (Proxies, FWs, loadbalancers) and VMs in your datacenter.
  • Large app clusters – SAP HANA, AD Infrastructure, Hadoop (Cloudera) Clusters etc. come with their own specialized assessments targeting advanced PaaS offerings on each public cloud.
  • ….
  •  Google has advanced services in the space of machine learning (ML) / artificial intelligence (AI), application containerization, and collaboration. Image and Video Analysis – Requirements for most of the organizations starting with their AI/ML journey is to classify and understand the context and metadata around their images and video streams. In the image analysis space, Google offers the cloud Vision API 
  • Cloud Storage Transfer Service: Transfer data from other clouds (like AWS) to Google Cloud storage buckets using HTTP/HTTPS-based interfaces.
  • Google Transfer Appliance: Like the AWS Snowball service, Google Cloud also offers a physical appliance which you can lease from Google to transfer large amounts of data to the cloud. At present, it’s available in 2 different sizes – 100 TB and 480 TB – which you can request for a few days to connect to your local storage systems, transfer data, and then ship back to Google to transfer it in one of your cloud storage buckets.
    • Google BigQuery Data Transfer Service: In most cases, customers are also using SaaS applications, like Adwords and YouTube. In order to analyze the data from these services, customers can use the BigQuery Data Transfer Service to directly transfer their data to BigQuery. This is used to build a data warehouse to run analytical queries. This service ensures continuous data replication at scale, and to visualize the trends, customers can use ISV offerings like Tableau or Looker on top of the BigQuery instance.
  • With over 200 successfully migrated apps, including SAP, Cloudera, to GCP, this focused Migration to GCP Executive seminar can save you valuable time and money.