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.
This series of workshops will introduce Microsoft Azure and Power BI for Cloud Analytics. Through expert-led sessions and discussions, organizations will understand how Azure and Power BI fit into an overall digital transformation strategy.
Is your organization considering a move to the Azure Data Platform for Cloud Analytics? Understand how to accelerate the responsiveness of your business by providing a secure, scalable environment for business intelligence, advanced analytics, and big data workloads.
Is your organization considering Microsoft for Advanced Analytics? See how Microsoft Advanced Analytics technologies have been designed to maximize the effectiveness of your data science initiatives, especially for big data and complex business problems.
Is your organization considering Microsoft Power BI for your Self-Service Strategy? Explore how Power BI has been designed from the ground up as a centerpiece of digital transformation – putting powerful BI and Analytics tools into the hands of the end users.
Thanks to social media, consumers can express ideas and opinions in real time. Companies can benefit from these real-time sentiments by performing text analytics on social media keyword posts relevant to them. They can learn things such as customer sentiment, related products, and geography trends.
This lab provides an introduction to Azure Event Hubs and processing streaming data in real-time with Azure Stream Analytics. An Event Hub is a publish-subscribe service that handles high volume and high velocity data streams. Stream Analytics allows real-time analytics for streaming data.
Azure Data Catalog enables discovery of enterprise data assets, across platforms and tools, using familiar search functionality. Business users may search, discover, understand, enrich, and consume data sources via Azure Data Catalog, as well as contribute additional information for data sources.
This lab explores creating a big data analytics pipeline with Azure Data Factory. Data Factory is a key component of the Cortana Intelligence Suite that orchestrates data movement through different storage layers and computer processes, turning raw data into intelligent actions.
This lab provides an introduction to Azure SQL Data Warehouse, an elastic data warehouse as a service. Azure SQL DW has a “massively parallel” architecture but appears as one database to users. In addition, this lab explores visualizing data with Power BI, another key component of the Cortana Intelligence Suite.
HDInsight is a key analytics component in the Cortana Intelligence Suite that allows users to perform distributed computing across a Hadoop cluster as a service. It offers convenient scaling, data processing, and querying capabilities that can be leveraged directly or by other technologies in Cortana Intelligence.
Whether you’re struggling to implement advanced analytics, want to get more from your data, need to do more with your business intelligence or want to create a data culture, we can help. Learn more about how our experienced team can help you move your business forward.
We’re much more than technology specialists — we’re trusted advisors. Our team’s deep expertise and passion for what we do combined with our collaborative approach help you get the insights you need quickly and easily.
From retail to manufacturing, and so much more. We have helped a wide variety of companies get the most from their data. No matter the industry your company serves, chances are we can help. Take a look at our list of industry solutions highlighted in our solution briefs. VIEW ALL SOLUTION BRIEFS
Learn how to use Business Intelligence Markup Language (Biml) and Excel to facilitate metadata-driven SSIS development. We'll use database schema information plus Excel inputs to implement a small data mart from staging through the dimensional model, all in an hour!
Due to changes in the technology landscape with tools like Hadoop, R, and pre-built solutions in Microsoft Azure, many of the traditional barriers for text analytics have been reduced or eliminated. Learn how to create text analytics solutions using the Microsoft Azure ecosystem.
R statistical computing has grown from a research and prototyping tool into a key component of commercial analytics platforms. The greatest evidence of this may be in Microsoft’s acquisition and subsequent embedding of Revolution R in its key data and analytics technologies.
As data volumes within organizations are growing at an unprecedented scale, it is no surprise to see data visualizations being used more frequently as a means of communication. However, many organizations are unable to unlock the true power of data.
Over the past eight years, Life Care Centers of America has moved from a traditional “instinct-driven” organization to a “data-driven culture”, in which data is a key asset for improving patient care and operational excellence across the organization.
The state of business intelligence, analytics, and data warehousing is undergoing a major transition. Best practices are emerging and evolving with the advancement of new frameworks and technologies.
To make an impact with their audiences, businesses need to be able to take the mountains of data they generate and glean timely and efficient insights from them — but with overloaded IT departments and other obstacles like budgets and security, this is easier said than done.
Learn from the experts, using a library of free instructional videos. Topics cover the full range of BI technologies from Data Modeling to Dashboard Design. No boring lectures. Just a practical explanation of each topic as it's used in the real world.