Big data means something different to everyone. Every organization has data, and in many cases, it is larger, more variable or more complex than most reporting platforms and teams can handle. The challenges companies face include integrating, managing and distributing their data to those who need it. Organizations have tried many innovative ways to solve these challenges. However, as more people in a company want to take advantage of more data, principals are challenged with delivering solutions.
Check out these proven techniques to quickly and easily deliver data insights to your users.
Here are some insightful blog posts from the BlueGranite team surrounding Microsoft Azure, big data, data warehousing, and more.
A global oil and gas company, headquartered in the U.S., has delivered results for decades by staying abreast of technology. It recently set out to harness the power of predictive analytics in anticipation of reducing equipment service interruptions. Such interruptions resulted in lost production and increased maintenance and replacement costs.
As a worldwide supplier at the forefront of the building materials market, the competition is fierce. This major developer and producer of construction components employs nearly 20,000 people across the world and serves clients internationally as well. With the ubiquitous nature of their clientele, communication and relationship building has been challenging.
Encumbered with poor data retrieval capabilities and slow turnaround time due to a third-party data storage vendor, one of the largest transportation providers in North America enlisted our help to migrate its on-premises data warehouse to an Azure environment. Our state-of-the-art Azure-based solution helped to streamline the company’s data collection and retrieval procedures, fostering actionable insights.
There are numerous choices in the Azure platform to implement a data warehouse for supporting analytics, big data, and business intelligence workloads. In this webinar, BlueGranite experts presented decision points for when Azure SQL Data Warehouse is the best choice, versus when another Azure service may be a more suitable solution. In addition to bringing clarity to the choices available in Azure, we dispelled myths and misconceptions such as "Azure SQL Data Warehouse is for all DW workloads" and "Azure SQL Database is only for OLTP workloads."