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.
TA modern data platform on Azure makes it easy to take a unified approach for enabling cloud scale analytics at your organization. It provides an environment where teams can collaborate in a secure workspace, enabling data engineering and data science solutions.
The foundation of any cloud scale analytics initiative must be based upon the ability to store and analyze data that may stretch traditional limits. Modern data platforms built on Azure support new requirements for volume, variety, and velocity that your business demands.