Category: Data and AI
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Many organizations struggle with disparate or non-centralized data sources, outdated data platforms, and a lack of access to data insights.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
MLOps is a set of integrated processes to simplify and automate ML lifecycle management. The processes include data prep, versioning, registration, pipeline orchestration, training, validation, serving, deployment, monitoring and re-training of ML models Many enterprises have tested ML, deployed models in production but are facing challenges in managing the models. MLOps eases model management process and… Continue reading MLOps Implementation – Six Aspects you Need to Consider
Maintaining security is indispensable and treating it as an afterthought only decelerates organizations’ progress. And for businesses to enforce security at every step, they must consider DevSecOps. DevSecOps is an approach for implementing prevention and protection measures for applications and infrastructure from security risks and vulnerabilities. This ensures that the applications are less exposed to… Continue reading DevSecOps – Enabling Cloud Security and Automation
What is Data Migration? Migration Testing is a verification process of migration of the legacy system to the new system with minimal disruption/downtime. Ensure the data integrity, no loss of data, all the functional and non-functional aspects of the application are met post-migration. Why Data Migration? Below are the 3 main reasons where we go… Continue reading Data Migration Testing – Strategy, Types and Best Practices
