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…
Data warehouse versus data lake – when should you use which for analytical insights? Compared to the venerable data warehouse, data lakes are a relative upstart in the business intelligence world. While similar in concept to warehouses, data lakes are quite different in structure and use. The terminology conjures up the appropriate imagery: brick-and-mortar warehouses…
Of all the new terms big data has introduced to the language, few continue to cause as much confusion as “data lake.” What is it, and how does it fit into an organization’s data warehousing and analytics strategy? The term “data lake” is actually a playful variation on data warehouse, a concept that goes back…
Big data should have been the rocket fuel that launched business intelligence (BI) into the stratosphere, so why are so many companies still stuck in neutral when it comes to harnessing the power of Apache Hadoop, or, more specifically, BI on Hadoop, for improved business insights? It’s because BI has failed to keep up with…
A lot has changed at Arcadia Data since 2012, when we were just four founders thinking about ways to connect non-technical business users to big data. What hasn’t changed is the problem we ended up solving. In fact, continuing growth in data volume and complexity has exacerbated the obstacles we are helping our customers overcome. …
This post originally posted here. Co-written by Dan Wilson, Director of Partnerships for Cloudera Data Warehouse, and Dale Kim, Sr. Director of Products and Solutions, Arcadia Data Among the many reasons that a majority of large enterprises have adopted Cloudera Data Warehouse as their modern analytic platform of choice is the incredible ecosystem of partners that have emerged…
Now that football season is upon us, I felt I should borrow from football lore for the title of this blog. But I admit, BI performance isn’t everything, and it certainly isn’t the only thing, but it still is very important. Before I dive into that topic, let me first take a step back. We…
When was the last time you had to explain to someone how to use an Internet search engine? Perhaps never? That’s not surprising considering that search engines are amazing in their simplicity from a user perspective while also delivering the outcomes we desire. Can we aspire to have a similar system for the data we…
A few days ago someone asked me why people aren’t using more Microsoft Excel with ApacheHadoop. I started to think about it and on the surface it made sense. After all, the biggest databases and most important applications in the world run on Microsoft Excel, right? Some will laugh at this statement but there is truth to it….
