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Actian Blog / Tag / Analytics

Tagged Posts: Analytics

See Actian At TDWI Las Vegas, February 12-14, 2018
  • February 12, 2018

See Actian at TDWI Las Vegas, February 12-14, 2018

Starting off the new year in style by hitting Las Vegas and attending the annual TDWI Conference focused on big data and analytics? Come see Actian at on the exhibit hall floor, Booth #205, Forum Ballroom of Caesar's Palace, at these times: Tuesday, February 13: 11:15am - 2:15pm and 5:00pm-7:00pm (Leadership Summit reception in…

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Automatically Synchronize Your OLTP And OLAP Tables In Actian X (Ingres 11)
  • February 9, 2018

Automatically Synchronize Your OLTP and OLAP Tables in Actian X (Ingres 11)

A key feature of the latest update to our hybrid database Actian X (Ingres 11) is the inclusion of the x100 analytics engine and support for x100 tables. Adding a world class analytics engine to Actian X’s enterprise OLTP (OnLine Transaction Processing) capability enables a new class of applications that can mix OLTP and analytic…

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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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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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The Big Show: Visit Actian At AWS Re:Invent 2017 In Las Vegas
  • November 27, 2017

The Big Show: Visit Actian at AWS re:Invent 2017 in Las Vegas

The largest cloud computing conference of 2017 is now here in AWS re:Invent and it’s taking over Las Vegas in a big way. An estimated 40,000 engineers, product leads, marketers, technical architects, and expert users from around the world will be descending on The Strip, attending keynotes, bootcamps, demos, hackathons, and in-depth hands-on training…

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Delivering Real-Time Reporting At Speed And Scale
  • September 21, 2017

Delivering Real-Time Reporting at Speed and Scale

When a major UK logistics company wanted to improve reporting for its large accounts, they turned to Actian to design, implement and support the underlying database system (“LARS”) using Ingres, HVR and Vector products for its architecture. The Brief The customer had around 100 Customer Accounts Representatives dedicated to large accounts, with each Rep…

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Vector In Hadoop 5.0 – New Features You Should Care About
  • September 19, 2017

Vector in Hadoop 5.0 – New Features You Should Care About

Today we announce the introduction of the next release of Actian Vector in Hadoop, extending our support of Apache Spark to include direct access to native Hadoop file formats and tighter integration with Spark SQL and Spark R applications. In this release, we also incorporate performance improvements, integration with Hadoop security frameworks, and administrative…

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Predictions For The Hybrid Data Landscape
  • May 30, 2017

Predictions for the hybrid data landscape

The Age of Data has arrived, with new data sources, targets and processing models proliferating madly across enterprises of all sizes. While data has never been more valuable to a business — it now informs the who, what, where, when and how of decision making — this new hybrid data landscape introduces new challenges.…

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Hadoop Short Circuit Reads And Database Performance
  • August 2, 2016

Hadoop Short Circuit Reads and Database Performance

If you've been working with Hadoop then you've likely come across the concept of Short Circuit Reads (SCRs) and how they can aid performance. These days they are mostly enabled by default (although not in "vanilla" Apache or close derivatives like Amazon EMR). Actian VectorH brings high performance SQL, ACID compliance, and enterprise security…

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Actian VectorH File Format Is Faster And More Efficient
  • July 12, 2016

Actian VectorH File Format is Faster and More Efficient

In this third and last part of the series on Actian Vector in Hadoop (VectorH), we will cover how the VectorH file format supports the performance and efficiency of our data analytics platform to accelerate business insights, as well as some of the other enterprise features that can help businesses move their Hadoop applications…

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Actian VectorH Enables Fuller SQL Functionality And More Current Data
  • July 6, 2016

Actian VectorH Enables Fuller SQL Functionality and More Current Data

In this second of a three-part blog series (part 1), we'll explain how SQL execution in Actian Vector in Hadoop (VectorH) is much more functional and ready to run in an operational environment, and how the ability for VectorH to handle data updates efficiently can enable your production environment to stay current with the…

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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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