To benefit from the full scope of digital transformation, organizations need to go beyond merely migrating their existing IT infrastructure and applications to the cloud.
They must adopt a holistic approach that involves a complete overhaul of their entire business and embrace cloud technology as their foundational architecture.
As a trusted Google Cloud partner, Tiger Analytics specializes in guiding businesses to make strategic cloud investments throughout their transformational journey. By doing so, we enable them to drive continuous innovation, stay at the forefront of technological advancements, and tackle their most pressing challenges effectively.
To benefit from the full scope of digital transformation, organizations need to go beyond merely migrating their existing IT infrastructure and applications to the cloud.
They must adopt a holistic approach that involves a complete overhaul of their entire business and embrace cloud technology as their foundational architecture.
As a trusted Google Cloud partner, Tiger Analytics specializes in guiding businesses to make strategic cloud investments throughout their transformational journey. By doing so, we enable them to drive continuous innovation, stay at the forefront of technological advancements, and tackle their most pressing challenges effectively.
Leverage our partnership with GCP to revamp your data lakes with cutting-edge services designed to securely ingest and store massive volumes of data. Come on board with our partnership to get the most out of data transfer services, storage transfer services, cloud composer, cloud IoT core, Google cloud storage, and BigQuery storage.
Accelerate your open-source data processing through our partnership with Google and unlock faster time to value with our specialized expertise. Leverage our extensive knowledge in BigQuery compute, Cloud Dataflow, Cloud Dataproc, Cloud Dataprep, and Cloud Data Fusion.
Overcome prevalent database challenges and achieve low latency data access through our industry-leading partnership with GCP. Experience unparalleled scalability and reliability as we extend Google’s specialized expertise in Cloud SQL, BigQuery, Cloud Bigtable, and Cloud Spanner.
Get the best out of our partnership with GCP. We amplify your capabilities to harness AI/ML to analyze your data and extract business intelligence through industry-leading tools, such as Looker, Vertex AI, Data Studio, and BigQuery ML.
Efficiently navigate and manage your hybrid data environment on the cloud through our extended partner ecosystem and GCP’s rich data management and governance capabilities. Enhancing cloud security and mitigating risks with our partner network’s expertise in data catalog, Datastream, Cloud Composer, and cloud security.
Effortlessly execute your builds within a fully managed GCP environment, with capabilities in Cloud Build and running a command center through our partnership with Google. With our specialized knowledge, we empower you to optimize your build processes, enhance productivity, and ensure the smooth execution of your projects in Google Cloud.
End to end Data Lake management accelerator with powerful Self-Service capabilities for setting up new data ingestion & transformation pipelines, data management and monitoring.
Schema driven decision maker that enables smooth landing of data to enable their customers to use the product/service hassle free. Highly reliable automation empowers quick decision-making with dynamic schema validation, data preview, and drastically reduced processing time.
This comprehensive metadata management platform ingests all types of metadata (business, operational, technical) through push and pull mechanisms, offers user management, access controls, usage reporting, and statistical profiling, integrates with Great Expectations for data quality reports, and is fully customizable for UI and functionality to meet your specific needs.
Tiger libraries created on dbt (Data Build Tool – Open-source modern data transformation framework) for data transformation and data validation. Dataform empowers data analysts to develop, test, version control, and schedule complex SQL transformations within BigQuery, focusing on the T in ELT (Extract, Load, Transform).
A standard observability platform with the ability to onboard applications, metadata, KPIs that needs to be collected, stored , observed & alerted.
Automated deployment offers significant advantages: faster implementation, fewer errors, consistent deployments, reduced costs, improved accountability, and the ability to be integrated with application code deployment for a streamlined release process.
An operational framework that helps with better financial control to improve ROI on Cloud. It fetches granular details from GCP, CloudQuery, and a rules database to power a unified semantic layer, validation engine, and insightful dashboard with actionable recommendations