Azure Data Solutions
Unified data management for enterprises’ on-premises, multi-cloud, and edge environments.
Implementing Azure SQL Managed Instance streamline SQL Server applications with a managed, always-up-to-date SQL instance in the cloud. Accelerate application modernization, integrate data by implementing familiar tools and SQL Server features, and move custom and vendor-provided applications without worrying about compatibility or performance changes.
It is used to define a set of policies for configuring and managing data.
It implements high security by adding policies for login and passwords.
It allows direct access to the data from web services by implementing the HTTP endpoints.
Leverage IT optimization methods to deliver world-class database administration services and manage an increasingly complex and growing portfolio of data for optimal performance.
Database Management services ensure enterprises are secure, operational costs are maintained and high availability of applications.
Management Strategy
The relational database management system for Enterprise based on Structured Query Language (SQL).
Automate and modernize enterprise operations for business agility with highly scalable and serverless solutions.
Manage the availability, usability, integrity, and security of data in an enterprise.
The Solution that let the developers store/manage unstructured data and perform complex analytical operations.
Unified data management for enterprises’ on-premises, multi-cloud, and edge environments.
Azure DataLake
Solutions to store raw data in an untransformed way at low cost with in-built intelligence debugging support.
MongoDB
PostgreSQL
ScyllaDB
NewSQL
MongoDB is a document database used to build highly available and scalable internet applications.
PostgreSQL is used as the primary data store or data warehouse for many web, mobile, geospatial, and analytics applications.
ScyllaDB is a data model to achieve adequate performance which eliminates complexity and finishes your NoSQL project.
Newsql is a class of modern relational DBMSs that seek to provide the same scalable performance of NoSQL for OLTP workloads.
Automate actions to uncover the unknown
Transform processes to move at market speed
Accelerate business outcome with more accurate predictions in real time
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