Solution Provider Sample Clauses
The Solution Provider clause defines the party responsible for delivering a specified product, service, or technology solution under the agreement. Typically, this clause outlines the provider's obligations, such as ensuring the solution meets agreed-upon specifications, providing support, and maintaining performance standards. By clearly identifying the Solution Provider and their responsibilities, this clause helps allocate accountability and ensures both parties understand who is delivering and supporting the solution, thereby reducing the risk of disputes over service delivery.
Solution Provider as a Solution Provider, you are authorized to resell the Services to Customers; and
Solution Provider. Component Provider may not assign this Solution Provider Agreement (by operation of law or otherwise) without the prior written consent of OCP, and any prohibited assignment will be null and void.
Solution Provider. A Third Party, connecting the Merchant sales application with the Ingenico Platform on behalf of the Merchant.
Solution Provider. Databricks one comprehensive framework. Databricks was founded in 2013 to make big data analytics more straightforward and cost-effective with the creation of Apache Spark. Apache Spark rapidly became the de-facto big data processing technology by integrating SQL, Spark Streaming, Machine Learning / Deep Learning, and Graph Processing all into one unified API that makes it possible to build data pipelines that start from ingest and go through ETL through data warehousing and advanced analytics in Databricks formed the same year to develop a cloud-native, cloud-agnostic Unified Analytics Platform, and the Spark core project was transitioned to the Apache Foundation as Open Source. Today, we operate Databricks and the Databricks technical ecosystem, which includes availability on all three major cloud service providers: GCP, AWS, and Azure. We are a proven company with 5000+ customers who continue to work closely with our customers to drive our product development. We are recognized as a leader in Gartner Magic Quadrant for Data Science and Machine Learning Platforms. The Databricks Lakehouse platform provides the TIPS with a robust and comprehensive suite of data modern data management capabilities suitable to build both the application architecture's TIPS and Data Platform components. The Databricks Lakehouse platform also provides capabilities that can be built into the Data Platform layer of the solution. The Databricks Lakehouse will not provide the TIPS with the application tier of the Customer Portal; our partner will provide that piece of the solution. Databricks has partnered with many public sector organizations, including the Center for Medicaid Services (CMS), Australia’s Health Services Directory (AHSD), and United States Citizenship and Immigration Services (USCIS), to achieve rapid time to insights from large amounts of disparate data sets by coupling this paradigm shift with scalable cloud computing. These organizations have been able to remove traditional operational inefficiencies found in data warehousing/management solutions that enable them to support new/changing requirements, leverage all the data for a comprehensive view of their patient/applicant, and innovate faster to deliver on modern use cases involving near-real-time analytics, predictive analytics, and machine learning. Databricks accelerates innovation for all stakeholders in a unified platform that supports data engineering, business analytics, and data science/machine learni...
Solution Provider. Azure The solution described here combines a range of Azure services that will ingest, store, process, enrich, and serve data and insights from different sources (structured, semi-structured, unstructured, and streaming). In this architecture, Synapse Analytics is being used within an enterprise-wide datahub providing a single source of truth. However, this architecture looks complicated as there are a wide variety of services connecting to/being connected from Synapse Analytics. Let’s break this diagram down into smaller chunks. • Synapse Analytics Pipelines is responsible for loading all types of data into Azure Data Lake Gen2. • Dedicated SQL Pools are a central data warehouse loaded from the Data Lake. • Serverless SQL Pools are used as an ad-hoc data exploration tool querying data in the Data Lake. • Event Hubs/IoT Hubs and Streaming Analytics process and load data into the Data Lake (long- term storage) and into Power BI for real-time analysis. • Spark Pools processes data from the Data Lake and integrates it with Azure Cognitive Services and Azure Machine Learning to run AI/ML algorithms over this data and return the results. • Although this architecture references a wide variety of services, it does not mean it must include all these services. Perhaps Enrich (Azure Cognitive Services, Azure Machine Learning) should not be included in an organization’s data infrastructure. At some point in the future, it can certainly be added.
Solution Provider. 2.1 You agree that Netiquette Software Pte Ltd ("Netiquette") is the third-party licensor of the Netiquette Accounting Management Solution.
Solution Provider. Neobit Solutions LLC, № 405762982.
Solution Provider. Component Provider’s Trademarks. Solution Provider/ Component Provider hereby grants OCP the right to use Solution Provider/ Component Provider’s trademarks or service marks only to identify Solution Provider/ Component Provider as a member of the Solution Provider/ Component Provider Program, including placing Solution Provider/ Component Provider’s logo on OCP’s applicable web page, or as otherwise approved in advance in writing by Solution Provider/ Component Provider.