Google Cloud Data Fusion Integrations

Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size. Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge. Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.

BigQuery is a serverless, multicloud data warehouse that makes working with all types of data effortless, allowing you to focus on extracting valuable business insights quickly. As a central component of Google’s data cloud, it streamlines data integration, enables cost-effective and secure scaling of analytics, and offers built-in business intelligence for sharing detailed data insights. With a simple SQL interface, it also supports training and deploying machine learning models, helping to foster data-driven decision-making across your organization. Its robust performance ensures that businesses can handle increasing data volumes with minimal effort, scaling to meet the needs of growing enterprises. Gemini within BigQuery brings AI-powered tools that enhance collaboration and productivity, such as code recommendations, visual data preparation, and intelligent suggestions aimed at improving efficiency and lowering costs. The platform offers an all-in-one environment with SQL, a notebook, and a natural language-based canvas interface, catering to data professionals of all skill levels. This cohesive workspace simplifies the entire analytics journey, enabling teams to work faster and more efficiently.

**IntelliPay — Smarter Payment Processing That Protects Your Bottom Line** What if every payment your business accepted actually cost you less? For over two decades, U.S. organizations have used IntelliPay's cloud platform to modernize revenue collection, eliminate processing overhead, and give customers more ways to pay. **The Fee Problem, Solved:** Traditional processors leave businesses absorbing 2–4% per card transaction. IntelliPay's compliant dual pricing, surcharging, and convenience fee structures redistribute those costs without violating card brand rules — while traditional processing remains available for those who prefer it. **One Platform, Every Channel:** Credit card, ACH/eCheck, text-to-pay, IVR, kiosk, virtual terminal, EMV, and recurring autopay — all managed from one Google Cloud-hosted dashboard. No patchwork vendors, no duplicate reporting. **Built-In Automation:** Recurring billing, installment plans, autopay enrollment, bulk CSV processing, and payment reminders run without manual intervention — freeing staff for higher-value work. **Security & Compliance Included:** PCI DSS Level 1 certified, HIPAA and NACHA compliant, with end-to-end encryption, tokenization, and fraud detection built in. **Integrations:** REST API, QuickBooks Online sync, white-label portals, and compatibility with healthcare, legal, government, and e-commerce platforms. **Why IntelliPay:** - 20+ years in U.S. payment processing - Billions processed annually - Transparent interchange-plus pricing - U.S.-based support: phone, chat & portal

A user-friendly, serverless service for change data capture and replication that provides access to streaming data from a variety of databases including MySQL, PostgreSQL, AlloyDB, SQL Server, and Oracle. This solution enables near real-time analytics in BigQuery, allowing for quick insights and decision-making. With a straightforward setup that includes built-in secure connectivity, organizations can achieve faster time-to-value. The platform is designed to scale automatically, eliminating the need for resource provisioning or management. Utilizing a log-based mechanism, it minimizes the load and potential disruptions on source databases, ensuring smooth operation. This service allows for reliable data synchronization across diverse databases, storage systems, and applications, while keeping latency low and reducing any negative impact on source performance. Organizations can quickly activate the service, enjoying the benefits of a scalable solution with no infrastructure overhead. Additionally, it facilitates seamless data integration across the organization, leveraging the power of Google Cloud services such as BigQuery, Spanner, Dataflow, and Data Fusion, thus enhancing overall operational efficiency and data accessibility. This comprehensive approach not only streamlines data processes but also empowers teams to make informed decisions based on timely data insights.

Organizations are increasingly focused on becoming more data-driven, implementing dashboards, analytics, and data pipelines throughout the contemporary data landscape. However, many organizations face significant challenges with data reliability, which can lead to misguided business decisions and a general mistrust in data that negatively affects their financial performance. Addressing intricate data challenges is often a labor-intensive process that requires collaboration among various teams, all of whom depend on informal knowledge to painstakingly reverse engineer complex data pipelines spanning multiple platforms in order to pinpoint root causes and assess their implications. Pantomath offers a solution as a data pipeline observability and traceability platform designed to streamline data operations. By continuously monitoring datasets and jobs within the enterprise data ecosystem, it provides essential context for complex data pipelines by generating automated cross-platform technical pipeline lineage. This automation not only enhances efficiency but also fosters greater confidence in data-driven decision-making across the organization.

Dropbox Dash is an innovative content management and universal search platform powered by AI, aimed at enhancing productivity by integrating all your tools, content, and applications within a cohesive interface. By utilizing this platform, users can effortlessly discover, categorize, and share information across a multitude of platforms. With the ability to swiftly find files, emails, calendar events, and tasks from all linked applications using natural language queries, the process becomes significantly more efficient. Users receive succinct, AI-generated answers to their inquiries, allowing them to access the required information without the hassle of sifting through numerous documents. The platform also allows for the creation of intelligent collections of related content, simplifying the organization and sharing of resources among colleagues, clients, and vendors alike. Moreover, it features a centralized dashboard that highlights recent activities, upcoming meetings, and tailored shortcuts, thereby optimizing daily workflows. Additionally, users can oversee and manage permissions across various cloud applications from one unified interface, ensuring that sensitive data remains protected and accessible only to authorized personnel. This comprehensive approach not only enhances productivity but also fosters better collaboration and communication within teams.