Enable simpler integrations with reliable, flexible, and cost-effective cloud resources
Did you know that two quintillion bytes of data are created each day? Properly using this data involves running analytics on big data to give you an extra edge over your competition. While the common value propositions of the cloud, such as cost-effective resources with on-demand scalability, have remained mostly unchanged over the years, more organizations are migrating to the cloud than ever before to use this resource.
In fact, according to Forbes, nearly 50% of businesses say that big data analytics has fundamentally changed business practices. These data-driven organizations typically go through a constant improvement process since they now use analytical insights to drive business decisions. These insights also give you clear and consistent feedback regarding what works and what doesn’t.
Why migrate to Azure Synapse from SQL DW?
Azure Synapse Analytics gets you a complete out-of-the-box solution designed to accelerate your time to insight and improve your business agility. Azure Synapse is the only end-to-end platform that unifies data ingestion, big data analytics, and data warehousing. It offers turnkey setup and configuration options on a fully managed infrastructure to help you get results fast without slowing you down.
As a longstanding Microsoft Gold Partner, Neal Analytics is in a unique position to help organizations achieve a rapid time-to-value via a quick migration. Additionally, with our AI and Machine Learning expertise, Neal Analytics can help organizations do even more with their Azure database by enabling cutting edge use cases.
Want to learn more? Please fill out the form to download our SQL Data Warehouse to Azure Synapse migration brochure.
Neal Analytics is a cloud, data, and AI Microsoft Gold consulting partner supporting data-driven transformation initiatives from data strategy to solution design, architecture, development, operationalization, and support.
Our expertise spans across migration and modernization, data science, AI/ML, IoT, edge computing, BI, application development, and RPA.
Neal leverages Agile methodologies and flexible engagement models to deliver measurable customer value with a focus on right-sized and pragmatic approaches towards digital transformation