Bizcubed Blog

Why we keep picking Pentaho as our solution for our Managed Service

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Pentaho Debuts on Gartner Magic Quadrant for Data Integration Tools

Pentaho prides itself on being data challenge agnostic when it comes to the technologies and data sources customers can leverage to achieve analytic business outcomes. Doing this means customers are freed from the hindrances of data and continue to increase analytics insight as they drive towards strategic initiatives.

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The Road to Reliable Predictive Analytics and the Top 10 Requirements That Bridge IT and the Business

In her latest contribution to Computer Business Review, Pentaho CMO Rosanne Saccone reflects on the book, “Do Lunch or Be Lunch,” by Harvard Business School faculty member Howard H. Stevenson. As she points out, while Stevenson’s book itself may be a bit dated, the ability to make accurate predictions continues to separate the world’s most profitable and successful organizations from the ...

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Filling the Data Lake with Hadoop and Pentaho

A blueprint for big data success

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5 Keys to Creating a Killer Data Lake

It’s been several years since the term “Data Lake” was coined by my friend and Pentaho co-founder James Dixon.  The idea continues to be a hot topic and a challenge to execute properly. The problem is that too many people think all they need to do is dump data into Hadoop.  But what happens when you merely dump your data?  You get what you asked for— a dump. 

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Introducing the Adaptive Execution Layer and Spark Architecture.

Recently Pentaho announced the release of Pentaho 7.1. Don’t let the point release numbering make you think this is a small release. This is one of the most significant releases of Pentaho Data Integration! With the introduction of the Adaptive Execution Layer (AEL) and Spark, this release leapfrogs the competition for Spark application development!

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De Bortoli Wines Invests in Blending Data, as well as Grapes

About De Bortoli Wines

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Westfield uses Pentaho to improve customer experience

 

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3 Steps to Easy Data Preparation

Data preparation is the foundation of any analytics project, but it has become more complex than ever as organizations struggle to handle new, messy data types and growing data volumes. Teams that want to build competitive advantage through analytic insight must master modern data preparation, quickly consolidating information from across an organization, regardless of data type. Pentaho ...

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Data Preparation with Limited IT Resources

I speak to a lot of customers that are all facing the same issue – they have a limited IT staff, they have a shrinking budget, they are using legacy tools to manage their growing data needs and they just don’t have enough time to accomplish it all.

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