What does it really mean to implement a modern data architecture? Like many other technology initiatives, it depends on the implementation objectives.
Today's business leaders understand that data holds the key to making educated and supportable decisions - but with all the marketing hype around data lakes and big data, it can be difficult to understand how a data lake solution could resolve your analytics needs.
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We strive to be the best data and analytics consulting firm in the industry. Our “think big, but start small” philosophy helps our clients embrace data as a strategic asset, and using our 3-stage framework, we create roadmaps, build solutions, and deliver value across organizations.
Gain an understanding of business cases, vision and strategy for data and analytics; explore new and innovative solutions to gain insights from data and improve data availability. We provide workshops, proof-of-value engagements, and QuickStarts to help you begin your journey.
Make it real! BlueGranite will architect, build and deploy new BI and analytics solutions to address pain and realize the projected gain for your organization. We'll combine our deep experience with the latest tools for data and analytics for both cloud and on-premise scenarios.
Harvest and extend the value of your investment in analytics solutions through long-term support, maintenance, and enhancement. Change organizational culture through the establishment of a Center of Excellence complete with governance initiatives from data management to self-service BI.
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 case studies below.
Due to Power BI’s varied features and capabilities, when organizations plan to roll it out there can be confusion as to who should use it and how. In this one-hour webinar, you will gain a better understanding of how to effectively plan a rollout and minimize risk through a step-by-step process.
The potential for Cloud Analytics and the promise of the Modern Data Platform are two components of a sweeping trend that is giving companies massive competitive advantage over slower movers. In this one-hour session, learn how advanced analytics can help your organization deliver cloud analytics quickly and efficiently.
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.
As a specialized, open source statistical environment, R represents the primary analysis language for many data scientists and statisticians. By extending Power BI with R, Microsoft has created several opportunities to enhance your Business Intelligence solutions and visualizations.
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.