By now we all know that Hadoop is a central part of many big data projects, but how do we integrate this technology with some of the more traditional approaches to data handling? Is there a way to make sure our Hadoop cluster is interacting with and enriching the rest of our analytics environment? Luckily, there’s a whole suite of utilities that interact with Hadoop to address these questions, and it’s important to know what they are and how to take advantage of them. In this article, we’re going to take a quick look at five commonly used utilities in the Hadoop Ecosystem to help you understand how they can be used to integrate the Hadoop framework with more traditional relational databases and leverage the data for analytical purposes. Read more

The modern data landscape is so much more diverse than it was in the past, and the modern data warehouse needs to increase its flexibility to keep up. In the modern warehouse, it’s not enough to just source all the data; it’s equally important to source all data types as well. Data professionals need to derive insights from various systems of engagement (social media, mobile), systems of record (ERP systems, CRM systems, databases), and the Internet of Things, which means sourcing unstructured, semi-structured and structured data. These needs are driving a rapid evolution away from the familiar enterprise data warehouse (EDW) and toward a new, more flexible solution: the logical data warehouse (LDW). Read more

Putting Data on the Map with LI Diagram

On October 1st, Ironside hosted a webinar on Putting Data on the Map with Location Intelligence. You will get all the key facts on location intelligence and hear a Q&A panel of Ironside developers, Ironside data scientists, and location intelligence specialists from our partner Pitney Bowes. Read more

So what’s the best way to learn any new analytics technology? Tell a story. Stats are fun and features are great, but it’s all just talk without context. In this spirit, we’re going to show you some examples of how location intelligence can be an ideal platform for out-of-the-box thinking in real-world settings.

Just to set the stage, let’s start with a quick, easy description around what location intelligence is and what it does. At its heart, location intelligence is all about enabling you to see internal and external data relevant to your business visualized in the real world. Using these intuitive displays, you can see what’s impacting your current state, plot future trends, and define clear actions to move your organization forward. Read more

Ironside is happy to announce that we have partnered with Pitney Bowes, one of the top location intelligence and data providers, to transform how our clients see, interact with, and gain insight from the location and business information to which they have access. The Pitney Bowes partnership pairs their sophisticated location intelligence technologies and comprehensive, diverse data sets with Ironside’s unrivaled analytics expertise and technical know-how to bring to market solutions that give geographic context to organizations’ historical data, provide actionable location-based intelligence in real time, and even map future trends using variables relevant to the area displayed. Read more

This article is the second in our Ironside Public Data Powered series, which outlines how we can leverage public data to help us gain insights that drive stronger, faster business decisions. It will take a look at adding public data into a cloud-based data warehouse. Read more

By now, we’ve all heard the V3 definition for Big Data maybe a million times: Volume (Size of Data), Variety (Type of Data) and Velocity (Frequency of Data) with Veracity (Accuracy of Derived Insights) thrown in as an extra sometimes. The issue is that this all-too-common definition has caused some confusion in organizations around who qualifies as having big data or a big data problem. Read more

As we mentioned in a recent article, The Why, What, Who, and How of Successful Hadoop Deployment, there’s a lot you need to consider when implementing Hadoop to manage big data at your organization. Now we’ll build off that perspective and explore the data lake. Like any other new methodology just starting to gain ground in the information management space, there are a lot of assumptions about what data lakes can do and how they tie in with Hadoop-based infrastructures. In this article, we’ll discuss the most essential pieces of knowledge you need to wade into data lakes, dispel some of the rumors around them, and explain how they can fit into your information management ecosystem.

Read more

Public data is everywhere, and if you know where to look, you’d be surprised at the insights it can give you. In fact, when paired with the right tools, this freely available information can enrich and complement your internal data resources to reveal compelling patterns of behavior and trends that you can act on to drive growth at your organization. To showcase what public data can do in the hands of professional analysts, we’re kicking off the Ironside Public Data Powered article series. These publications will periodically take you behind the scenes to show you how our consultants think about and interact with public data using the skills and technologies at their disposal. In this inaugural article, we’ll explore what it takes to start understanding patterns and relationships within a combined public and internal data set through IBM Watson Analytics.

Read more

ELT is a term heard increasingly in today’s analytic environments. Understanding what it means, and how you can make use of it, requires understanding the traditional nature of how data warehouses are loaded and how data movement tools work. That’s why we’ve pulled this article together: to break down the ETL vs. ELT divide and show you where the similarities and differences are. Read more