Organizations are looking to improve the value they get from analytics projects, but often the inability to access quality data in a consistent, usable form prevents them from realizing their full potential. The challenge is that data is stored across many different silos, in a variety of formats. It requires skilled IT resources to aggregate this data and ensure that it is in a common format so business users can gain meaningful insights from the data, and even with such resources, the process is highly complex.
The Denodo Platform is a logical data management solution that provides real-time access to curated, high-quality data. Powered by data virtualization, the Denodo Platform establishes a logical abstraction layer across all enterprise data assets that enables immediate access to any dataset without needing to first copy or replicate it. When a user connects to data and requests it, the Denodo Platform retrieves that data from one or more backend systems in real time, integrates it into business-friendly views, and delivers it to the user.
The Denodo Platform for Google Cloud Platform is available via four subscription tiers, allowing you to choose the features and capacity appropriate for your needs. More details on the various subscription tiers can be found here.
Included with the Denodo Platform’s out-of-the-box connectivity to 150+ cloud and on-premises data sources is optimized connectivity with the following Google Cloud Platform services:
Google BigQuery
Google CloudSQL
Google Cloud Storage
Cloud Datastore
Google Cloud Spanner
Google Bigtable
The Denodo Platform and Google Cloud Platform - Hybrid Logical Data Warehouse: Reference Architecture
1.- Move your relational data for interactive querying and offline analytics to Google BigQuery.
2.- Move your relational data from the large-scale databases and applications to Google Spanner whenever high I/O and global consistency is needed.
3.- Move your relational data from Web frameworks and existing applications to Google Cloud SQL.
4.- Combine all types of your data from Google Cloud with the relational data sitting on premise inside the traditional Data Warehouse using Denodo Data Virtualization, creating one centralized data hub.
5.- Run real-time queries on virtual data from other applications.
6.- Build operational reports and analytical dashboards on top of Denodo Data Virtualization platform to derive insights from the data, and use Looker or other BI tools to serve thousands of end users.
Key Use Cases
Hybrid/Multi-Cloud Data Integration
With Google Cloud Platform users have a variety of fully managed relational, NoSQL, and in-memory databases. Additionally, departmental projects adopt SaaS applications at an ever-increasing pace, and organizations still need to maintain on-premises systems that are vital to business operations. In a hybrid/multi-cloud environment, the need for data integration has never been greater. The Denodo Platform offers a single logical point from which to seamlessly query and combine data in real time, using any business intelligence (BI) or reporting tool, regardless of where the source data is stored.
Self-Service BI
Business intelligence (BI) and data analytics are front and center for every successful company. However, many users need help finding and accessing the data they need, so they rely on IT staff. The Denodo Platform’s data catalog bridges the gap between the technical data infrastructure and business users. It provides search and collaboration capabilities and data exploration wizards. It’s the perfect companion for the virtual layer, to empower self-service initiatives with the capabilities for minimal IT intervention. It gives business users the tools to generate their insights with proper security, governance, and guardrails.
Data Services
The distributed nature of data today means that data is stored in various systems, on-premises, in the cloud, and in hybrid deployments. This adds complexity for data consumers, as access methods and data formats vary greatly. The Denodo Platform for Google Cloud Platform can expose data services that simplify access to various data sources through a unified set of access methods. These methods include JDBC/ODBC (SQL), OData, RESTful, GraphQL, and GeoJSON. For developers building applications that need access to data, they now have a standard interface to quality data, in a standard format, regardless of where that data may reside.
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