Cloud data integration helps organizations integrate data of various forms and unify complex processes in a hybrid data environment. A number of times different organizations have similar data integration needs and require repeat business processes.
As Julia White mentioned in her blog today, we’re pleased to announce the general availability of Azure Data Lake Storage Gen2 and Azure Data Explorer. We also announced the preview of Azure Data Factory Mapping Data Flow.
Azure Data Factory adds new connectors for data ingestion into Azure to empower mordern data warehouse solutions and data-driven SaaS apps: Cosmos DB MongoDB API, Google Cloud Storage, Amazon S3, MongoDB, REST, and more.
Data integration is complex and helps organizations combine data and business processes in hybrid data environments. The increase in volume, variety, and velocity of data has led to delays in monitoring and reacting to issues.
Azure Functions is a serverless compute service that enables you to run code on-demand without having to explicitly provision or manage infrastructure. Using Azure Functions, you can run a script or piece of code in response to a variety of events.
Azure Data Factory (ADF) enables you to do hybrid data movement from 70 plus data stores in a serverless fashion. Often users want to connect to multiple data stores of the same type.
Office 365 holds a wealth of information about how people work and how they interact and collaborate with each other, and this valuable asset enables intelligent applications to derive value and to optimize organizational productivity.
Data is more critical than ever in all aspects of modern business. As more organizations embark on digital transformation and embrace a data-driven culture, a common IT challenge is building the definitive source of truth for trusted, curated data.
Today at Microsoft Ignite in Orlando, I shared how the confluence of Cloud, Data, and Artificial Intelligence (AI) is driving unprecedented change and is rapidly becoming foundational to innovation in every industry.
The Integration Runtime (IR) is the compute infrastructure used by Azure Data Factory to provide data integration capabilities across different network environments.
GitHub is a development platform that allows you to host and review code, manage projects and build software alongside millions of other developers from open source to business.
Data Integration solutions can be complex with many moving parts involving complex data factories with multiple pipelines.
