Even though we’re already blazing full speed ahead into 2016, it’s always important to take a minute to look back at the past year and recognize the high points that made it special. In addition to being named a Boston Business Journal Pacesetter for the second time, making the Inc. 5000 list of fastest-growing companies for the third time, and receiving IBM’s 2015 Business Intelligence Partner of the Year award, we’ve produced several valuable and popular pieces of thought leadership to enrich the analytics community. Here are the top 5 articles 2015 saw us release. We hope you find them useful as you start your journey into the new year. Read more
Tag Archive for: Information Management
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
As you can see from the title, there are a lot of “as-a-Services” floating around in the modern marketplace. New vendors appear every day offering software, platforms, and infrastructure over the cloud. In the midst of this wild west-style atmosphere, how can you be sure that the type of solution you choose will be right for you and will consistently perform in the way you expect? Read more
On May 12th, Ironside hosted an IBM PureData for Analytics (Netezza) in the Cloud vs. DashDB webinar, during which our industry experts provided their insights into these two powerful information management solutions. Read more
Powering business analytics evolution through targeted infrastructure support
Did you know there are over 326 million trillion gallons of water on Earth? Yes, you read that number right. It’s hard to even fathom (no pun intended) a number that large, let alone try and quantify it into consumable, actionable business analyses. Watts Water Technologies deals with the enormity of this vast natural resource every day, improving the global community’s comfort, safety, and quality of life through their industry-leading water regulation, purification, and reuse equipment solutions. Read more
Today, our world is filled with data. It has quietly become part of our daily life, and we’ve changed our routines to accommodate it. Beyond the impact it’s had on us, data itself has dramatically changed over the past two decades due to continual advances in internet and storage technology. Almost everything we interact with now is digital: web browsers, smart phones, tablets, social media accounts, and much more. 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
Ironside Recognized as 2015 IBM Beacon Award Finalist for Outstanding Information Management Solution
This year, Ironside received the high honor of being placed among the finalists for IBM’s prestigious Beacon Award in the category of Outstanding Information Management solution. The accolade displays IBM’s recognition of an unprecedented and groundbreaking project for one of Ironside’s top clients that included an end-to-end enterprise information management architecture that was entirely cloud-based. Additionally, and in partnership with IBM SoftLayer, Ironside envisioned and executed on a never-before-seen cloud implementation that allowed the client to leverage the unparalleled power of an IBM PureData for Analytics infrastructure without having to bring it onsite. PureData for Analytics, more commonly known in the industry as Netezza, is one of the most robust and sophisticated data warehouses currently on the market. Now that we’ve set the stage, let’s take a deeper look into how Ironside is making Netezza more easily available than ever before. Read more
Award-winning IBM Partner celebrating 15 years re-launches as comprehensive business-focused analytics solution provider
Lexington, MA (May 16, 2014) – The Ironside Group, the award-winning North American business analytics consultancy founded in 1999, today re-launched their organization as simply Ironside. This change is both a reflection of their celebrated 15 year history, as well as a representation of their shift towards providing comprehensive solutions for organizations that are seeking to fundamentally improve performance by harnessing the power of information. The new Ironside will move toward being a one-stop shop for end-to-end analytics solutions, supporting clients from the planning phases all the way through full-scale implementations. Read more
Ironside is a data, analytics, and AI consulting and technology implementation company. We work with clients to understand their business objectives and day-to-day challenges, then employ our deep expertise in data strategy, architecture and engineering, integration, business intelligence, AI, and generative AI. We create technical solutions and practical approaches designed to drive smarter, data-driven decisions across a company and help it move further and faster toward its business goals.