Azure Synapse Analytics
By merging enterprise data warehousing with Big Data analytics, this solution provides the flexibility to choose between serverless on-demand or provisioned resources, allowing you to query data as needed. Additionally, it offers a cohesive experience to prepare, manage, and deliver data for immediate BI and ML needs.
By merging enterprise data warehousing with Big Data analytics, this solution provides the flexibility to choose between serverless on-demand or provisioned resources, allowing you to query data as needed. Additionally, it offers a cohesive experience to prepare, manage, and deliver data for immediate BI and ML needs.
Azure Databricks
Unlock vital business insights from your data sets and craft artificial intelligence (AI) solutions with the power of our Azure analytics platform. Get started swiftly in the Apache Spark™ environment, all set up in just minutes. The platform facilitates seamless integration with open-source libraries, fostering a shared, interactive workspace that enhances productivity.
Unlock vital business insights from your data sets and craft artificial intelligence (AI) solutions with the power of our Azure analytics platform. Get started swiftly in the Apache Spark™ environment, all set up in just minutes. The platform facilitates seamless integration with open-source libraries, fostering a shared, interactive workspace that enhances productivity.
Data Factory
Introducing a hybrid data integration service that streamlines and automates large-scale data transformation. This not only enhances productivity but also shortens the time to market, making data integration both quick and cost-effective. Introducing a hybrid data integration service for large-scale data transformation services.
Introducing a hybrid data integration service that streamlines and automates large-scale data transformation. This not only enhances productivity but also shortens the time to market, making data integration both quick and cost-effective. Introducing a hybrid data integration service for large-scale data transformation services.
Data Lake Analytics
Introducing an on-demand, pay-per-job analytics service designed to demystify big data and fuel intelligent actions. With no infrastructure management required, you have the freedom to process data on your terms, effortlessly scale, and only pay for the jobs you run. Virtualizing your analytics, as well as debugging and optimizing big data programs, becomes a breeze. Data Lake Analytics empowers you to run parallel data transformation and processing programs across vast data sets, utilizing languages such as Python, SQL, R, and .NET. It provides built-in security features such as Azure Active Directory integration.
Introducing an on-demand, pay-per-job analytics service designed to demystify big data and fuel intelligent actions. With no infrastructure management required, you have the freedom to process data on your terms, effortlessly scale, and only pay for the jobs you run. Virtualizing your analytics, as well as debugging and optimizing big data programs, becomes a breeze. Data Lake Analytics empowers you to run parallel data transformation and processing programs across vast data sets, utilizing languages such as Python, SQL, R, and .NET. It provides built-in security features such as Azure Active Directory integration.
Azure Data Lake Storage
Azure Data Lake Storage Gen2 is a fully managed, scalable, and secure file system designed for the cloud. It's equipped to store and analyze vast data sets and objects, and allows for easy building, debugging, and optimization of intensive parallel programs. Beyond its design for the cloud, Azure Data Lake offers enterprise-grade security and support. Incorporating Blob storage capabilities, it ensures optimal performance, durability, and is tailored for advanced analytics workloads. Additionally, Azure Data Lake seamlessly exchanges data with key business applications such as Microsoft Dynamics 365 and Power BI.
Azure Data Lake Storage Gen2 is a fully managed, scalable, and secure file system designed for the cloud. It's equipped to store and analyze vast data sets and objects, and allows for easy building, debugging, and optimization of intensive parallel programs. Beyond its design for the cloud, Azure Data Lake offers enterprise-grade security and support. Incorporating Blob storage capabilities, it ensures optimal performance, durability, and is tailored for advanced analytics workloads. Additionally, Azure Data Lake seamlessly exchanges data with key business applications such as Microsoft Dynamics 365 and Power BI.
Azure Stream Analytics
Effortlessly manage your mission-critical workloads and deliver real-time insights. In just a few clicks, establish a robust, serverless streaming data pipeline capable of analyzing millions of IoT devices with subsecond latencies. Enhanced with built-in machine learning (ML) capabilities for advanced scenarios, you're assured of enterprise-grade reliability. Can deploy the Azure Stream Analytics jobs in the cloud, on edge devices, or hybrid environments, depending on your specific use case and requirements.Overall, Azure Stream Analytics is a powerful tool for building real-time analytics solutions that can process, analyze, and visualize.
Effortlessly manage your mission-critical workloads and deliver real-time insights. In just a few clicks, establish a robust, serverless streaming data pipeline capable of analyzing millions of IoT devices with subsecond latencies. Enhanced with built-in machine learning (ML) capabilities for advanced scenarios, you're assured of enterprise-grade reliability. Can deploy the Azure Stream Analytics jobs in the cloud, on edge devices, or hybrid environments, depending on your specific use case and requirements.Overall, Azure Stream Analytics is a powerful tool for building real-time analytics solutions that can process, analyze, and visualize.
Azure Data Share
Azure Data Share enables simple and secure data sharing with multiple collaborators, including external users like customers and third-party partners. The service can help you provision new data sharing accounts in a few clicks, as well as add datasets and invite users to use the account. A major advantage of Azure Data Share is that it helps to easily combine data from third party sources.
Azure Data Share enables simple and secure data sharing with multiple collaborators, including external users like customers and third-party partners. The service can help you provision new data sharing accounts in a few clicks, as well as add datasets and invite users to use the account. A major advantage of Azure Data Share is that it helps to easily combine data from third party sources.
Azure Machine Learning
Azure Machine Learning, commonly referred to as Azure ML, is a library providing pre-packaged and pre-trained machine learning algorithms. In addition to algorithms, Azure ML provides a UI for building machine learning pipelines including training, evaluation, and testing. Azure ML also provides capabilities for interpretable AI, including visualization and data for a wide range of purposes.
Azure Machine Learning, commonly referred to as Azure ML, is a library providing pre-packaged and pre-trained machine learning algorithms. In addition to algorithms, Azure ML provides a UI for building machine learning pipelines including training, evaluation, and testing. Azure ML also provides capabilities for interpretable AI, including visualization and data for a wide range of purposes.
HDInsight
A fully managed cloud Hadoop and Spark service that helps you easily get started in your favorite development environment. It integrates seamlessly with other Azure services and is adept at spinning big data clusters so that you only pay for what you use. HDInsight handles petabytes of structured and unstructured data without any hardware or installation cost and allows projects deployment.
A fully managed cloud Hadoop and Spark service that helps you easily get started in your favorite development environment. It integrates seamlessly with other Azure services and is adept at spinning big data clusters so that you only pay for what you use. HDInsight handles petabytes of structured and unstructured data without any hardware or installation cost and allows projects deployment.
By merging enterprise data warehousing with Big Data analytics, this solution provides the flexibility to choose between serverless on-demand or provisioned resources, allowing you to query data as needed. Additionally, it offers a cohesive experience to prepare, manage, and deliver data for immediate BI and ML needs.
Empowering Cloud Evolution: Hosting, Migration, and DevOps Excellence
Accelerate your transformation as we harness the full power of the cloud, enabling seamless hosting of collaboration systems and successful re-architecting of applications. With Azure DevOps at the helm, we offer extensive, flexible, and resilient processes, tools, and techniques to ensure meticulous management of your code and applications.
Accelerate your transformation as we harness the full power of the cloud, enabling seamless hosting of collaboration systems and successful re-architecting of applications. With Azure DevOps at the helm, we offer extensive, flexible, and resilient processes, tools, and techniques to ensure meticulous management of your code and applications.
Effortlessly manage your mission-critical workloads and deliver real-time insights. In just a few clicks, establish a robust, serverless streaming data pipeline capable of analyzing millions of IoT devices with subsecond latencies. Enhanced with built-in machine learning (ML) capabilities for advanced scenarios, you're assured of enterprise-grade reliability.
Unlock vital business insights from your data sets and craft artificial intelligence (AI) solutions with the power of our Azure analytics platform. Get started swiftly in the Apache Spark™ environment, all set up in just minutes. The platform facilitates seamless integration with open-source libraries, fostering a shared, interactive workspace that enhances productivity. Plus, modernize your warehouse in the data cloud for unmatched scalability.
Introducing an on-demand, pay-per-job analytics service designed to demystify big data and fuel intelligent actions. With no infrastructure management required, you have the freedom to process data on your terms, effortlessly scale, and only pay for the jobs you run. Virtualizing your analytics, as well as debugging and optimizing big data programs, becomes a breeze. Data Lake Analytics empowers you to run parallel data transformation and processing programs across vast data sets, utilizing languages such as Python, SQL, R, and .NET.
Azure Data Lake Storage Gen2 is a fully managed, scalable, and secure file system designed for the cloud. It's equipped to store and analyze vast data sets and objects, and allows for easy building, debugging, and optimization of intensive parallel programs.
Beyond its design for the cloud, Azure Data Lake offers enterprise-grade security and support. Incorporating Blob storage capabilities, it ensures optimal performance, durability, and is tailored for advanced analytics workloads. Additionally, Azure Data Lake seamlessly exchanges data with key business applications such as Microsoft Dynamics 365 and Power BI.
Azure Data Share enables simple and secure data sharing with multiple collaborators, including external users like customers and third-party partners. The service can help you provision new data sharing accounts in a few clicks, as well as add datasets and invite users to use the account. A major advantage of Azure Data Share is that it helps to easily combine data from third party sources.
Let us configure your Kubernetes for an optimized CI/CD pipeline experience by defining the Azure policy to help manage your containers, including their access and health, and automate the process of defining, deploying, debugging, and upgrading your Kubernetes applications.
Our Azure DevOps team will set up a strategy for the smooth integration of all of your codes present on different shared repositories, the tools you need to build, by providing the criteria for maintenance consistencies with your on-premises server or cloud to help you detect any issues early in the process of development and troubleshooting it.
Along with your Azure Continuous Integration, we help strategize the workflow pipeline to help you deliver the developed product for quality assurance and stage, for testing the build and packaging an error-free product for deployment.
Our team can handle a smooth migration from your on-premises Team Foundation Server (TFS) to the online Azure DevOps server or help you with migrating from a legacy Visual Studio Team Services (VSTS) version to the latest Azure DevOps version.
Our team stands by you from strategizing the workflow pipeline until the successful implementation of the same and helps sort out any complications that might appear in the process.
The Azure DevOps team at JDSOFT provides the best cloud-based training to your skilled workforce. It guarantees the smooth running of the Azure DevOps practices and policies incorporated into your business.
Introducing a hybrid data integration service that streamlines and automates large-scale data transformation. This not only enhances productivity but also shortens the time to market, making data integration both quick and cost-effective. The result? Significant reductions in overhead costs.
Introducing a hybrid data integration service that streamlines and automates large-scale data transformation. This not only enhances productivity but also shortens the time to market, making data integration both quick and cost-effective. The result? Significant reductions in overhead costs.
A fully managed cloud Hadoop and Spark service that helps you easily get started in your favorite development environment. It integrates seamlessly with other Azure services and is adept at spinning big data clusters so that you only pay for what you use. HDInsight handles petabytes of structured and unstructured data without any hardware or installation cost and allows deployment of projects using Spark, Kafka, and Hadoop.
Azure Machine Learning, commonly referred to as Azure ML, is a library providing pre-packaged and pre-trained machine learning algorithms. In addition to algorithms, Azure ML provides a UI for building machine learning pipelines including training, evaluation, and testing. Azure ML also provides capabilities for interpretable AI, including visualization and data for a wide range of purposes. These features can help you better understand model behavior, implement fairness metrics, and compare algorithms to discover which variant is best for your purposes.
