Arcadia Data is excited to announce an extension of our cloud-native visual analytics and BI platform with new support for AWS Athena, Google BigQuery, and Snowflake. This post will talk about each cloud service and (soon) link to example videos and how-to guides for connecting Arcadia Data to these services. The data lake has evolved…
Human communication is one of the most fascinating attributes of being sentient. As a fellow human I know how we interact can be extremely complex. We often send and receive the wrong messages, or our messages are misinterpreted by others. Everyday we take for granted our ability to convey meaning to our coworkers and family…
This guest blog was written by Mac Noland of phData.This was previously posted on the phData blog site on February 12, 2019. As distributed data platforms like Hadoop and cloud grow in adoption, there increasingly needs to be a more distributed approach to business intelligence (BI) and visual analytics. Traditional BI tools no longer scale…
Today’s world of big and diverse data is forcing the BI market to go through some significant upgrades. Enough change has occurred over the years that newer labels like “visual analytics,” or “analytics and BI,” or “modern BI” emerge to designate a new wave of innovation. Interestingly, we’ve already seen some of the recent analytic…
The latest buzzword or phrase in big data and business intelligence (BI) today is the “universal semantic layer.” So what exactly is a universal semantic layer, or USL, and what problems does it solve? To borrow another vendor’s perspective shared in an announcement about its universal semantic layer technology, Matt Baird put it simply: “Historically,…
Zoomdata recently published a blog post detailing their use of materialized views as a means to “turbo-charge BI.” In the blog, Ruhollah Farchtchi, CTO at Zoomdata, discusses how traditional BI tools and methodologies are failing to keep up with the needs of big data. He is right, but of course materialized views are nothing new….
Companies are modernizing their BI platform based on a massive shift in the big data analytics market which started with the Hadoop ecosystem and continues to evolve. This is not only a shift in technology in response to the scale and growth of data from digital transformation and IoT initiatives at companies, but a shift…
You look at maps all the time these days, especially as part of your Internet searches. Whether you seek directions to a new restaurant, current traffic to the airport, or home prices in your area, you get better context and much more complete answers to questions when maps are involved. If you don’t currently use…
Regardless of your opinion of the term artificial intelligence (AI), there’s no question machines are now able to take on a growing number of tasks that were once limited to humans. These days, AI is commonly discussed in the context of video games and self-driving cars, but it is increasingly becoming relevant in business intelligence…
When looking to expand your organisation’s analytics capabilities, the default decision around technology is often: “use more of the same.” However, organisations are finding that this doesn’t always work, especially when they pursue digital transformation strategies that entail new types and new sources of data. Enterprises are now going beyond the default decision to add…
This blog was co-written with Ronak Chokshi, MapR product marketing. It was originally posted to the MapR blog site on November 1, 2018. If you’re not familiar with the concept of data warehouse optimization (DWO), it’s a strategy for identifying the “right” workloads for your data warehouse. In other words, it’s making sure you’re not…
In theory, big data technologies like Hadoop should advance the value of business intelligence tools to new heights, but as anyone who has tried to integrate legacy BI tools with an unstructured data store can tell you, the pain of integration often isn’t worth the gain. Legacy BI tools were built long before data lakes…
