Microsoft Data Platform: Leverage on Agile App Development, Rapid Movement to Cloud, and faster On-Premises Innovation

As the volumes of data grows exponentially, an increasing number of organizations are struggling to manage the capacity to filter and use the data they store. This leads to some severe challenges in the form of low productivity and innovation, making it difficult to identify meaningful insights, and poses serious security and compliance risks as well.

Businesses are, therefore, eager than ever to harness the power of data to transform and accelerate their business. With the help of a robust global community, the Microsoft data platform is driving this data transformation in organizations of varied sizes across the globe to capture excellent revenue and a business growth opportunity.

In this blog, we explore more about the Microsoft data platform and how you can leverage it better for better business opportunities.

Microsoft Data Platform – An Overview

Data is one of the most important and strategic assets for small to large enterprises. As organizations worldwide from multiple industries have started integrating data as a critical part of their business process, implementing a modern data platform is becoming the topmost priority for them.

When you’re working with huge volumes of data, you want to be able to crunch, add, cut and churn information along with securing, managing, and governing it in many ways.  store and analyze data in real-time, companies make use of several cloud-based tools and services that are available in the market today, and Microsoft Data Platform is among the top choices.

Microsoft data platform allows you to harness data on-premises, accelerate deeper insights and predictive analytics from the Azure cloud, or seamlessly integrate intelligence into your apps.Organizations across the board are building data platforms on Microsoft Azure using advanced Microsoft tools and services to take advantage of greater productivity, agility, and better securiThere is a range of Azure cloud-based services included in the Microsoft data platform. While each service serves a different purpose, it can be considered a baseline datReasons to Modernize with Microsoft Data Platform

Among the key reasons to leverage Microsoft data platform include-

• Get the advantage of built-in AI

With a data platform, you can harness the power of AI to gain deeper insights and customer knowledge, make predictions faster and ensure proactive data protection.

• Scale fast

With the Microsoft data platform, bring your business to scale while ensuring that your security, performance, and availability needs are fully covered.

• Increase speed and agility

Allows you to create a consistent experience across platforms and get innovations to market much faster.

Let’s dive into some of these aspects of the Microsoft data platform in more detail.

1. Using AI and ML With DB Engines for Faster Results and Better Security 

Data, analytics, AI and ML with DB engines have the power to help you build market agility in today’s world of exponential change. The power of AI and ML can help you get the most out of your people, process, and technology, the need for which has never been greater before.

To enable this, the Microsoft data platform offers various professional and managed services across the suite of Azure offerings. Among these include-

• Azure Cosmos DB

Azure Cosmos DB is NoSQL serverless database service platform from Microsoft. It is a fully managed multi-model service that you can use to architect and govern redundant data. The prominent features of this include:

• Access data utilizing APIs like MongoDB,  JavaScript, SQL, etc.
• Great consistency, availability, and throughput

• A comprehensive, ready-to-use database 
• Azure Data Factory

Azure Data Factory is essentially Azure’s cloud-based ETL (i.e., Extract, Transform, and Load) service that enables users to extract data from any source and transform them, followed by loading the stack of organized data into third-party apps perform data analytics.

• Azure Stream Analytics

Azure Stream Analytics is primarily an on-demand, real-time serverless analytics service that helps deliver deeper insights to organizations.

2. Building Intelligent Apps Across Any Scale Of Data

Building intelligent cloud and intelligent apps are the next big thing in the world of business. Microsoft data platform focuses on providing products, APIs, and powerful tools to build intelligent apps for the intelligent cloud.

Microsoft Azure can help you create the next generation of robust applications using artificial intelligence capabilities for any developer and any scenario. Among some of these apps include-

• Azure Machine Learning: Includes enterprise-grade machine learning service to build and deploy models much faster.
• Cognitive Services: A comprehensive set of AI services and other cognitive APIs to help you build intelligent apps.
• Azure Databricks: Includes super-fast, easy, and collaborative Apache SparkTM–based analytics service.

Further, the Microsoft data platform allows you to develop intelligent apps using the technology of your choice, including open-source, backed by Microsoft’s innovations, and more. You can easily integrate data into your apps and use a rich set of cognitive services to build human-like intelligence across any scale of data.

3. Take Advantage of Azure Cloud to Make Predictions and Move to the Cloud Faster

Organizations worldwide are turning to cloud services today to streamline their development workflows, help reduce their data storage costs, and enhance their overall decision-making capabilities. This cloud adoption trend reflects the importance of data in transforming the modern business landscape and the high demand for agile management applications.

Microsoft Azure Cloud, put simply, is an expanding set of on-demand cloud services that help enterprises store and manage their data, improve their cybersecurity and compliance practices, and much more.

Since Microsoft Azure is a public cloud platform, enterprises can scale up their infrastructure to align with their specific needs and create hybrid computing environments.

Some of the core services from Microsoft Azure include-

• Azure Compute
• Azure Networking
• Azure Storage
• Azure Analytics
• Azure Back up 

Azure Cognitive Services from Azure cloud is another excellent choice as an example of a predictive API built by a cloud vendor. The service includes predictive APIs for-.

• Anomaly detection
• Content moderation
• Suggestions to personalize content

All these APIs are fully ready to use and are based on popular content patterns, which Microsoft has extensively used to train models. All these APIs make predictions based on the exact data you feed into the API.

4. Build Intelligent Organizations With AI-enabled Insights 

Azure fully harnesses Microsoft’s powerful data platform services to help enterprises generate much deeper and valuable customer insights, deploy various intelligent solutions, and build super transformative business models.

Further, Microsoft Azure facilitates SQL and NoSQL data services and provides powerful built-in support for churning data and unpacking deep insights for improving business processes and overall decision making. 

Realize the Potential of Microsoft Data Platform With TRNDigital

Microsoft data platform can help enterprises uncover rich insights, make smarter business moves, improve efficiency and reduce their overall operational costs. It is an excellent tool that organizations can leverage to formalize their way to the cloud and data-driven intelligence.

If you too wish to stay ahead of the competition and build a robust database warehouse to experience the power of the complete suite of Azure cloud services, get in touch with our experts at TrnDigital today. We will help you with everything from consulting to implementing powerful Microsoft Data Platform Services.