Migrating from IBM Netezza to Azure Synapse Analytics

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

Tableau to Power BI Migration Guide: A Step-by-Step Approach

Introduction Tableau’s message is analytics for everyone, from anywhere. And they have a point. It lets businesses easily, securely, and smoothly connect, visualize, and share data without coding. Tableau offers a versatile, complete platform to make sense of business data—from connection to collaboration. Given this context, you might be curious about the reason and method… Continue reading Tableau to Power BI Migration Guide: A Step-by-Step Approach

Adaptive Protection in Microsoft Purview

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

How Businesses can adopt Machine Learning with Azure Synapse Analytics

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

Azure Form Recognizer: Ingest Paper Forms into Digital Pipeline

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

Migrating on-premises SQL Server to Azure

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

Azure DPi30 – Create a Modern Data Platform in 30 Days

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

How to create a metadata-driven Azure Data Factory Pipeline

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 Implementation – Six Aspects you Need to Consider

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

DevSecOps – Enabling Cloud Security and Automation

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