Modernize Your Architecture
DataOps success requires a modern foundation.
Traditional data platforms are constrained by infrastructure limitations, siloed operations and the inability to scale, and thus lack the speed, flexibility and scalability required to serve insights at the speed of the business.
Today, enterprises can utilize Platform-as-a-service (PaaS) offerings like Microsoft Azure to reduce the complexity of the data pipeline. With Azure, organizations no longer face the limits of physical disk and server processing power in their data centers. Instead, they can get out of the relational database management system (RDBMS) box and store structured data in NoSQL storage via Cosmos DB.
In addition, they can store unstructured files in the petabyte-scaled Azure Data Lake and ingest data with a variety of services including IoT Hub, Event Hub and Data Factory. Using Azure services, the data is encrypted in motion and at rest, and once the data is available in Azure, organizations can gain deep insights into it using AI and analytics services like Stream Analytics, Cognitive Services, Machine Learning and Power BI.
With Azure, enterprises can significantly increase their business agility and return on their IT investments by eliminating redundancies, consolidating their IT footprints, and using (and paying for) only what they need.
GET THE WHITE PAPER: DATA MODERNIZATION WITH AZURE