Unlocking Business Insights with Azure Data Lake
What Azure Data Lake is, how its Store and Analytics components work, and its features: scalable storage, real-time processing, security and integration.
Cloud
Microsoft Azure for data work: cloud service models, hybrid environments, Azure against AWS, Azure Data Factory and Data Lake, and reasons to migrate.
Microsoft Azure vs AWS
Azure and AWS compared on services, pricing, scalability, global infrastructure, hybrid cloud, machine learning and support, with the pros and cons of each.
Why More Businesses Choose Microsoft Azure Cloud
Why businesses choose Microsoft Azure: Microsoft product integration, familiar developer tools, global data centers, security and compliance, and scaling.
What is Microsoft Azure Data Factory?
What Azure Data Factory is and how to use it: create a data factory, define datasets, linked services and activities, then schedule and monitor pipelines.
IaaS, SaaS, PaaS, and XaaS: Cloud-Based Service Models Explained
What IaaS, SaaS, PaaS and XaaS each provide, with example providers for the first three, and how the cloud service models compare and build on each other.
Seamlessly Transitioning Your SSIS Projects to Azure Data Factory
A three-step guide to moving SSIS projects to Azure Data Factory: assess your packages, prepare the Azure environment, then convert and adjust the packages.
Exploring the Pros and Cons of Microsoft Azure Data Lake
The pros and cons of Azure Data Lake: scalability, Azure integration, security and pay-as-you-go cost, weighed against complexity, governance and performance.
Microsoft Azure Leads the Industry for Hybrid Cloud Environments
Why Microsoft Azure leads in hybrid cloud: its on-premises roots, support for connecting datacenters to the cloud, and PaaS tools for application developers.
Reasons to Migrate to Microsoft Azure Cloud
Why migrate to Microsoft Azure: little upfront capital, consumption pricing, easier SQL Server integration, and why a migration assessment comes first.
Tell us what you are building.
A platform to build, a migration to plan, or one of our products to evaluate. It starts with a conversation, and you get a scope and a flat fee before any work starts.