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Technologies · Cloud

Google Cloud migration, BigQuery and GKE

Many teams pick Google Cloud for BigQuery and its analytics tools. We set up the platform, move data and applications, and connect it to SAP, Salesforce and the identity system you already run.

Talk to us about Google Cloud Common connections
AWS and SAP: SAP workloads run on EC2, and Amazon AppFlow or OData extracts land SAP data in S3 for reporting.AWS and Oracle: Oracle E-Business Suite databases move to Amazon RDS for Oracle or EC2, with interfaces repointed and tested.AWS and ServiceNow: The AWS Service Management Connector sends incidents, Config items and provisioning requests between the two.AWS and Salesforce: Amazon AppFlow and EventBridge move Salesforce records and change events into AWS services and S3.AWS and Azure: IAM Identity Center uses your directory for sign-in, so access follows joiners, movers and leavers.Azure and SAP: SAP S/4HANA runs on Azure, and Data Factory SAP connectors copy finance and supply data into the analytics platform.Azure and ServiceNow: Azure Monitor alerts open ServiceNow incidents, and Entra ID provisions ServiceNow users and groups.Azure and Oracle: Oracle databases move to Oracle Database@Azure or Azure VMs, keeping EBS interfaces close to the applications that call them.Azure and UiPath: Unattended UiPath robots run on Azure virtual machines and sign in with Entra ID service accounts.Google Cloud and SAP: The BigQuery Connector for SAP and the Cortex Framework replicate SAP finance and supply data into BigQuery.Google Cloud and Salesforce: Salesforce Data Cloud and BigQuery share customer and pipeline data for reporting and models without manual exports.Google Cloud and Oracle: Oracle databases move to Oracle Database@Google Cloud, or Datastream replicates Oracle tables into BigQuery.Google Cloud and Azure: Google Cloud Directory Sync or workforce identity federation keeps users and groups in step with your directory.ServiceNow and Salesforce: Customer cases that need IT or engineering work escalate from Salesforce into ServiceNow, and status flows back.ServiceNow and SAP: Approved procurement requests create purchase requisitions in SAP, and asset records sync back to the CMDB.ServiceNow and UiPath: Catalog requests start UiPath robots for steps in systems with no API, and results update the ticket.Salesforce and SAP: Customer masters, pricing and orders flow from Salesforce to SAP, and order status and invoices flow back to the account.Salesforce and Oracle: Quotes become sales orders in Oracle EBS or Fusion, and shipment and billing status return to the opportunity.Salesforce and Azure: Single sign-on and user provisioning come from your directory, so access ends when someone leaves.SAP and UiPath: UiPath robots handle SAP GUI steps that have no API, such as legacy transactions and bulk updates.Oracle and UiPath: UiPath robots handle EBS Forms steps with no API, such as supplier setup and bulk journal entry.AWSAzureGoogle CloudServiceNowSalesforceSAPOracleUiPathNEXGENTEK
Highlighted lines show the connections we build most often for this platform. Select any platform to see its page.
What we do

Our work on Google Cloud

Cloud Modernization

Platform foundation

Resource hierarchy, VPC design, organization policies and IAM set up with Terraform, with Cloud Logging and billing exports in place from the start.

Service details AI and Data

BigQuery data platforms

Pipelines with Dataflow, Datastream and Cloud Composer into BigQuery, with data quality checks, column-level security and cost controls on queries.

Service details Custom Application Development

Applications on GKE and Cloud Run

Containerized services on Google Kubernetes Engine or Cloud Run, with CI/CD through Cloud Build and Artifact Registry.

Service details AI and Data

Models in Vertex AI

Forecasting, classification and document models trained and served in Vertex AI, with results written back to the systems that use them.

Service details
Connections

What we connect Google Cloud to

The integrations we build most often, and what moves across each one.

  • Google CloudSAP

    The BigQuery Connector for SAP and the Cortex Framework replicate SAP finance and supply data into BigQuery.

  • Google CloudSalesforce

    Salesforce Data Cloud and BigQuery share customer and pipeline data for reporting and models without manual exports.

  • Google CloudOracle

    Oracle databases move to Oracle Database@Google Cloud, or Datastream replicates Oracle tables into BigQuery.

  • Google CloudActive Directory or Entra ID

    Google Cloud Directory Sync or workforce identity federation keeps users and groups in step with your directory.

  • Google CloudLegacy data warehouse

    BigQuery Migration Service translates Teradata or Netezza SQL and moves historical data across.

Use cases

Google Cloud in practice

Illustrative scenarios based on typical engagements, not named client projects.

POSOrder managementWMSModel output
Retail·AI and Data

Store demand forecasting in BigQuery and Vertex AI

Situation
A retailer plans replenishment from spreadsheets built on weekly exports from its ERP and point-of-sale systems.
Approach
We replicate sales, inventory and promotions data into BigQuery, train store-and-item forecasts in Vertex AI, and write recommended order quantities back to the ERP for planners to approve.
Outcome
Planners work from one forecast tied to current sales, and the spreadsheet rebuild each week stops.
YardiMRIRealPage
Real estate technology·Custom Application Development

A tenant and maintenance app on Cloud Run

Situation
A property manager tracks maintenance requests through email and a shared inbox, and tenants have no way to see progress.
Approach
We build a tenant portal and staff app on Cloud Run with Firestore, connect it to the property management system through its API, and send request and work-order data to BigQuery for portfolio reporting.
Outcome
Tenants and staff see the same request status, and managers can compare response by building and vendor.
People

Google Cloud specialists we provide

For a project we run, or to join your own team.

Staff augmentation
  • Google Cloud architect
  • Google Cloud data engineer (BigQuery, Dataflow)
  • GKE platform engineer
  • ML engineer (Vertex AI)
  • Cloud DevOps engineer
  • Data warehouse migration specialist
Questions

Common questions

Do you work with our existing Google Cloud partner or internal team?

Yes. We can own a defined workstream, such as the BigQuery data platform or a warehouse migration, or place engineers in your team under your leads.

Can you get SAP data into BigQuery?

Yes. We use the BigQuery Connector for SAP or replication tools you already license, and model the data so finance and supply teams can report on it.

How do you keep BigQuery costs under control?

We partition and cluster large tables, set quotas and budgets per project, and review query costs with your team after go-live.

Other platforms
AWSAzureServiceNowSalesforceSAPOracleUiPath

NexGenTek is an independent services firm. Google Cloud is a trademark of its owner. Product information: cloud.google.com.

Contact

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Delivery centreGurgaon, India
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