Nirav is an Engagement Manager at Ironside.
In today’s world, data is everything and the pressure to go digital is constant. Data-driven decision making is critical for organizations across industries to stay competitive. As a result, companies are aiming to achieve a maturity level that enables them to make decisions based on “collective facts” instead of facts from siloed datasets. Organizations need […]
Be sure to check out our Take30 webinar this Thursday around the approach and features of Ironside’s AscentAI. Artificial Intelligence, at its core, is a wide ranging tool that enables us to think differently on how to integrate information, analyze data, and use the resulting insights to improve decision making. With the current shift to […]
In today’s “Big Data” era, a lot of data, in volume and variety, is being continuously generated across various channels within an enterprise and in the Cloud. To drive exploratory analysis and make accurate predictions, we need to connect, collate, and consume all of this data to make clean, consistent data easily and quickly available […]
With the maturing and ever increasing acceptance of the cloud across multiple industries and the data gravity gradually moving to the cloud, i.e. more data being generated in the cloud, we are seeing some interesting cloud-based data and analytics platforms offering unique capabilities. Some of these platforms could be disruptive to the established market leaders […]
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 […]
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 […]
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 […]
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 […]
What is Netezza? Netezza is a dedicated data warehouse appliance that uses a proprietary architecture called Asymmetric Massively Parallel Processing (AMPP) that combines open blade-based servers and disk storage with a proprietary data filtering process using field-programmable gate arrays (FPGAs). Netezza integrates a database, server, and storage, which are all interconnected by a powerful network […]
Ironside helps companies translate business goals and challenges into technology solutions that enable insightful analysis, data-driven decision making and continued success. We help you structure, integrate and augment your data, while transforming your analytic environment and improving governance.
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