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High-Performance Realtime-Analytics On Hadoop Data
  • December 27, 2017

High-Performance Realtime-Analytics on Hadoop Data

The Challenge I have spent many years working with Actian's customers on database solutions and thought it'd be useful to discuss a recent customer experience at a large media company (I will call it "XYZCo"). This experience is similar to what I continue to see with other customers and the lessons learned apply to…

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Fast. Faster. Fastest.
  • December 22, 2017

Fast. Faster. Fastest.

I was fortunate enough to attend the Actian Hybrid Data Conference at which Craig Strong, who is Chief Technology and Product Officer at Hubble, talked about how they provide real-time corporate performance management (CPM) though high-speed analytics dashboards. You can watch a video recording of this presentation on the conference sessions page linked here. For…

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How I Analyzed 165 Million Flight Records In Seconds On My Laptop
  • December 19, 2017

How I analyzed 165 million flight records in seconds on my laptop

It was surprisingly easy to analyze 165 million flight records my laptop. It took me just an afternoon following the Actian Evaluation guide that you can download from here. Scientists with Intel over the years to being down the cost of high performance computing. They key vector processing technology feature they needed was to…

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Database History In The Making:  Ingres Meets X100
  • December 19, 2017

Database History in the Making: Ingres Meets X100

Doug Inkster is an Actian Fellow with a long history in the database market, starting with IDMS in the 1970’s and moving to Ingres in the 1990’s.  We asked him to reminisce about the most exciting times in his long career.  Here are some of his thoughts: In my 40+ years of working with…

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Insight To Insights
  • November 28, 2017

Insight to Insights

A fellow recent hire at Actian, Walter Maguire, told me that many organizations get frustrated with having to wait into the late morning for decision support databases to be loaded and indexed or OLAP cubes to be populated with transactional data before sales analysis can be performed. This is not a new problem. I…

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Actian Vector – Community Edition Launches On AWS Marketplace
  • November 16, 2017

Actian Vector – Community Edition Launches on AWS Marketplace

I’m excited to announce that Actian Vector - Community Edition is now available on the Amazon Web Services (AWS) Marketplace. The Community Edition is delivered as an Amazon Machine Image (AMI) and is compatible with the AWS 1-Click launch experience. Why is this important for you as a developer? If you are a SQL…

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The X-Vector
  • November 1, 2017

The X-Vector

As an employee new to Actian I decided to dig into what makes Actian Vector a star performer.  Three specific qualities, covered below, caught my eye as I reviewed the technical overview. Vectorization: When I first heard this term, my memory went back to 30 years ago, when IBM offered my employer, Watson Calculating Services…

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The Essential Guide To Actian Hybrid Data Conference 2017 In London, UK
  • October 16, 2017

The essential guide to Actian Hybrid Data Conference 2017 in London, UK

You are cordially invited to Actian’s Hybrid Data Conference in central London, UK on November 9th, 2017. Unlike many tech conferences, this one is totally free, and is open to Actian Customers, Partners, and the broader Tech Community alike. Bring a friend, or bring a few friends, this is a great technology community networking…

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Efficient ETL In An Analytical Database?
  • June 27, 2016

Efficient ETL in an Analytical Database?

Recently I worked on a POC that required some non-standard thinking. The challenge was that the customer's use case did not only need high performance SQL analytics but also a healthy amount of ETL (Extract, Transform, and Load). More specifically, the requirement was for ELT (or even ETLT if we want to absolutely precise).…

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  • May 3, 2016

Amazon EMR as an Easy-to-set-up Hadoop Platform

Recently I helped a customer perform an evaluation of Actian Vector in Hadoop (VectorH) to see if it could maintain “a few seconds” performance as the data sizes grew from one to tens of billions of rows (which it did, but that’s not the subject of this entry). The customer in question was only…

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Maximize Customer Lifetime Value Using Historical Data To Predict Future Buying Behavior
  • November 26, 2010

Maximize Customer Lifetime Value Using Historical Data to Predict Future Buying Behavior

Acquiring new customers is expensive and it is generally more cost-effective to sell to existing ones. The customer-lifetime-value concept is straightforward, but many companies struggle with determining how to put it into practice. Do you actually understand your customers’ buying behavior and motivations and what you can do to influence them? Is this information…

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