Category: Big Data Ecosystem

March 26, 2019 - John Thuma

Introducing the Arcadia Data Cloud-Native Approach

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…

March 12, 2019 - John Thuma

The Data Science Behind Natural Language Processing

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…

March 11, 2019 - Arcadia Data

Enabling Big Data Analytics with Arcadia Data

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…

March 5, 2019 - Dale Kim

Natural Language Query on Your Data lake

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…

February 7, 2019 - John Thuma

Five Things That Make a Great Universal Semantic Layer

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,…

January 18, 2019 - John Thuma

Arcadia Data Agrees: Use Materialized Views!

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….

December 20, 2018 - Steve Wooledge

The Godfather of BI Shares New Market Study on Big Data Analytics

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…

December 18, 2018 - Dale Kim

Geospatial Analytics at Big Data Scale and Speed

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…

December 13, 2018 - Dale Kim

AI and BI Were Made for Each Other

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…

December 6, 2018 - Andrew Mott

A Cost Analysis of Business Intelligence Solutions on Data Lakes

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…

November 26, 2018 - Dale Kim

Are You Doing Enough to Optimize Your Data Warehouse

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…

November 14, 2018 - Dale Kim

Comparing Middleware and Native BI on Hadoop

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…