Microsoft Inspire 2023, the most anticipated tech event of the year was recently held in the vibrant city of Seattle. The gathering brought together tech enthusiasts, industry leaders, and innovators from around the globe. As always, Microsoft Inspire delivered a spectacular showcase of groundbreaking technologies and insights into the future of digital transformation. Let’s dive… Continue reading Microsoft Inspire 2023: Unleashing the Future of Technology
WinWire, a leading Microsoft Solutions Partner, and Adventist Health are pleased to announce their partnership to enhance Adventist Health’s data analytics capability on Microsoft Azure. The partnership aims to create a modern, integrated data analytics estate on Microsoft Azure and Power BI technologies to harness data into a cohesive data fabric that will provide meaningful… Continue reading Adventist Health Partners with WinWire to Accelerate their Technology Transformation
Modernize Your Digital Ecosystem There are many compelling reasons why an Enterprise might consider moving from IBM Netezza to Azure Synapse Analytics. Some of the most common reasons include: Netezza to Azure Synapse Analytics Modernization The reliability of IBM Netezza’s Massive Parallel Processing architecture has made it an asset for enterprises across the world who… Continue reading Migrating from IBM Netezza to Azure Synapse Analytics
Analytics for everyone, from anywhere. That’s Tableau’s marketing pitch. With good reason if I may add. After all, it does allow businesses to quickly, safely and seamlessly connect, visualize and share data without people needing programming skills to do so. Often called a revolutionary new approach to business intelligence (BI), Tableau provides a flexible, end-to-end… Continue reading Tableau to Power BI Migration
Enterprise’s business processes are generating data at a rapid pace. In addition to internal data, businesses are progressively utilizing external data in different forms for their strategic decisions. Enterprises require data-driven decision-making at every level, including stakeholders, executives, managers, and operational analysts. Sharing the right data with customers, suppliers, and partners not only builds trust… Continue reading Adaptive Protection in Microsoft Purview
In today’s fast-paced digitalized landscape, businesses need to redefine their tech-driven data strategy to stay ahead of the curve. Machine Learning (ML) is one of the key aspects of this strategy that businesses can leverage to harness the power of data and analytics. By adopting powerful Machine Learning tools to analyze data smartly, companies can… Continue reading How Businesses can adopt Machine Learning with Azure Synapse Analytics
Many companies have modernized their backend systems and digitized their data, but systems which interface with the user are the slowest and most difficult to modernize because of third-party integrations, processes, etc. and most importantly the inherent opposition of humans to change. Paper forms with handwritten data fall in this category where it might be… Continue reading Azure Form Recognizer: Ingest Paper Forms into Digital Pipeline
How to decide the right Azure SQL service? When we decide to migrate an existing on-premises Microsoft SQL Server to Azure SQL services, there are three options, whichever option we choose, there is a definite cost savings that we can realize, and it can be up to 64%. The report “ The Economic Value of Migrating… Continue reading Migrating on-premises SQL Server to Azure
Many organizations struggle with disparate or non-centralized data sources, outdated data platforms, and a lack of access to data insights. To help organizations harness the power of their data, Microsoft offers the Azure DPi30 Engagement to help customers understand the value Azure provides in the form of a Modern Data Platform delivered through a consultative… Continue reading Azure DPi30 – Create a Modern Data Platform in 30 Days
When we want to copy huge amounts of objects (for example, thousands of tables) or load data from variety of sources, the appropriate approach is to input the name list of the objects with required copy behaviors in a control table, and then use parameterized pipelines to read the same from the control table and… Continue reading How to create a metadata-driven Azure Data Factory Pipeline