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As you’ve seen in some of our previous articles about the financial services industry, there’s a lot that goes on behind the scenes to enable financial services firms to gain new customers and provide accurate investment advice.  What matters most, though, is that the technology powering all the fund transactions, client correspondence, market analytics, and sales strategies remains reliable and responsive on a daily basis. 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

Netezza on cloudIronside is excited to announce a ground breaking new solution for organizations wanting to leverage their analytics workload-optimized PureData for Analytics / Netezza appliance in conjunction with rest of their virtualized private cloud analytics architecture. Ironside’s IBM PureData for Analytics (PDA) for Cloud offering solves all of the major hurdles for connecting your physical big data appliance with your virtual cloud infrastructure: management and communications bandwidth and latency. Ironside is now uniquely able to provide hosting and management of your appliance in conjunction with direct, private, and secure network connectivity back to IBM SoftLayer or other major cloud providers. This means you can host your entire analytics architecture in the cloud and still take advantage of the massive benefits that a physical appliance provides in this application. Read more

Many are looking to IBM Puredata System for Analytics (Netezza) but are unsure of the complexity of implementation. Is it a lift and shift? Is there redevelopment involved? The focus of this article is to describe the process for migrating from Oracle. At a high level this process is the same when migrating from other RDBMS but every RDBMS has its own nuances that should be taken into consideration. Read more

Today’s big data challenges for both transactions and analytics are increasing demands on data systems. Traditional data warehouses sometimes struggle as they are often NOT designed to meet the demands of advanced analytics on big data. That’s where solutions like Netezza come in.

IBM PureData for Analytics (formerly Netezza) is a data warehouse appliance that has a purpose-built analytics engine and an integrated database, server, and storage. With simple deployment, out-of-the-box optimization, no tuning, and minimal ongoing maintenance, the IBM Netezza data warehouse appliance has the industry’s fastest time-to-value and lowest total cost of-ownership. Read more