Learn about the latest big data analytics and BI trends in Apache Hadoop, the cloud, data lakes, IoT analytics, data visualization, and more as you browse through these insightful posts.

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…

October 30, 2018 - Dale Kim

Should I Use a Data Lake or a Data Warehouse? Six Questions to Ask

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…

October 11, 2018 - Steve Wooledge

Data Lakes and Data Warehouses: Why You Need Both

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…

October 4, 2018 - Steve Wooledge

BI on Hadoop: What Are You Waiting For?

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…

October 2, 2018 - Sushil Thomas

$15 Million Series B a Testament to Vision, Value of Arcadia Data

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. …

September 18, 2018 - Dale Kim

Cloudera Data Warehouse – A Partner Perspective

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…

September 13, 2018 - Dale Kim

BI Performance Isn’t Everything, It’s the Only Thing

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…

September 4, 2018 - Dale Kim

Big Data Analytics the Way It Was Intended with Search-Based BI

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…

August 30, 2018 - John Thuma

What about Excel? Can I connect Excel to Hadoop?

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….

August 23, 2018 - John Thuma

How to Leverage Real-Time Streaming Analytics for Surveillance

Co-written by Paul Lashmet Banking surveillance is often fragmented in which distinct surveillance teams monitor customer interactions, electronic communications, market activity, voice recordings, building sensors, video feeds, and social media within silos. This limits the ability to spot sophisticated risk activities that cross multiple locations, lines of business, and functional areas. Our earlier posts describe…

August 14, 2018 - John Thuma

How Traditional BI Nearly Killed Hadoop

“Traditional Business Intelligence tools are killing Apache Hadoop!”   There… I said it! (Keep reading…. There is a solution) Traditional business intelligence (BI) tools such as Tableau, Qlik, and others evolved with traditional relational database management systems (RDBMSs). Both use ANSI SQL for querying (i.e., retrieving) data for analysis.  Traditional SQL databases include products like…