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The  Top 10 Benefits Of An Operational Data Warehouse For 2021
  • August 1, 2021

The Top 10 Benefits of an Operational Data Warehouse For 2021

The previous blogs in this series discussed the top 5 pitfalls of traditional operational data warehouses and defined the Operational Data Warehouse (ODW) as a potential solution.  Below is a list of my Top 10 desirable benefits of an effective ODW: Current. Continuous data updates via “micro-batches” or streamed singleton updates throughout the day…

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It’s Time For Data Historians To Become … History
  • July 17, 2021

It’s Time for Data Historians to Become … History

Database Historians...History? Why a modern time-series capable database can simplify yet enhance time-series data analysis. Despite the professorial image the term suggests, a data historian is not an instructor or researcher, but a purpose-build software solution. And evolutions in how operational data is used and managed have eclipsed the need for data historian software…

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5 Tips For Extracting More ROI From Your CRM And Marketing Tech Stacks
  • March 28, 2021

5 Tips for Extracting More ROI from Your CRM and Marketing Tech Stacks

Tech stacks are getting more complicated by the day. Marketing Operations, Revenue Operations, Sales Operations, IT, Analytics, and Executives—we are all doing business using digital automations, including integrations, that allow us to target and interact with our customers and prospects in more meaningful and rewarding ways than ever before. Take a moment to consider.…

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What Is A Data Analytics Hub?
  • February 25, 2021

What is a Data Analytics Hub?

What is a Data Analytics Hub? And why is it better than a Data Lake or an Analytics Hub? In the opening installment of this blog series—Data Lakes, Data Warehouses and Data Hubs: Do we need another choice?  I explore why simply migrating these on-prem data integration, management, and analytics platforms to the Cloud…

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Delivering Real-time Customer 360 Insights Faster And Easier In Challenging Times
  • January 11, 2021

Delivering real-time Customer 360 insights faster and easier in challenging times

A long time ago (read: before the COVID-19 pandemic started), companies around the world were interested in developing a full 360-degree view of their customers. The importance of creating a tailored, data-enhanced customer experience was understood, but formidable challenges—the fact that the data comprising an individual customer profile resides in so many disparate systems,…

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Google GKE Containers: Breakthrough Technology For Cloud Data Warehouses
  • December 21, 2020

Google GKE Containers: Breakthrough Technology for Cloud Data Warehouses

Actian Avalanche on Google Kubernetes Engine Google Kubernetes Engine (GKE) is now running containerized versions of Actian Avalanche cloud data warehouse, a high-performance hybrid cloud data warehouse designed to power an enterprise’s most demanding operational analytics workloads. Why is that important? Because now an enterprise can deploy one of the world’s most advanced data…

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Actian Acknowledged As One Of The Top Workplaces In Austin
  • November 9, 2020

Actian acknowledged as one of the top workplaces in Austin

When I moved to Austin 10 years ago from the California Bay Area, little did I not know that I would be working in a company that gets acknowledged as the Top Workplaces in Austin today. This accolade was nominated and selected by the employees of the company. Actian Corporation came about as a…

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A Two-Part Approach To Track & Trace In Urban And Suburban Settings
  • September 25, 2020

A Two-Part Approach to Track & Trace in Urban and Suburban Settings

As businesses work to reopen and students return, in-person, to schools nationwide, track and trace is a critical component to mitigate potential resurgences in COVID-19 cases. The more densely populated a city, the harder track and trace will be. However, getting urban and suburban areas moving again is critical to jumpstarting the US economy.…

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Five Benefits Of The Hybrid Cloud Approach
  • September 21, 2020

Five Benefits of the Hybrid Cloud Approach

The ISO 17788 Cloud Computing Overview and Vocabulary standard defines a hybrid cloud as “a cloud deployment model using at least two different cloud deployment models.”  When we talk about different deployment models, we are talking about private clouds, public clouds with multiple different cloud providers, and even legacy applications.  When the different deployment…

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What To Do When Your Data Warehouse Chokes On Big Data
  • August 26, 2020

What to do when your Data Warehouse Chokes on Big Data

This may seem like an academic question, but it is increasingly becoming a reality for modern businesses. What do you do when you have millions of records with infinite width and depth, and your data warehouse chokes?  Do you trim your data?  Do you add more infrastructure capacity?  Or do you need to look…

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The Impact Of Updates On Data Warehouse Performance
  • August 20, 2020

The Impact of Updates on Data Warehouse Performance

When companies project data warehouse growth, they often look at a curve that mimic’s the growth of data in source systems.  This approach works if all you are concerned with is storage growth.  What is commonly overlooked is the compute growth curve for processing updates to your data.  As IT systems become more interconnected,…

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What Is Enterprise Data Integration, And Why Does It Matter?
  • August 19, 2020

What is Enterprise Data Integration, and why does it Matter?

Enterprise Data Integration is the merging of data across two or more organizations.  This scenario is most commonly found when companies are going through mergers or acquisitions, and data from the two companies need to be brought together.  Other scenarios for Enterprise Data Integration are joint-partnerships (where two or more companies work together under…

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Where You Do Analytics Processing Matters
  • July 20, 2020

Where you do Analytics Processing Matters

The Vector for Hadoop offering from Actian delivers increased performance for analytic queries without the associated increase in cost.  If you are looking for high-performance analytics processing to drive operational decision making, where you do your processing matters.  By minimizing the movement of data and processing locally, you can drastically reduce latency.  By using…

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Operationalizing Your Hadoop Data Lake
  • July 15, 2020

Operationalizing your Hadoop Data Lake

Have you ever tried to join your fact and dimension tables together to generate operational analytics? If you want to perform large scale data analysis on things like customer churn, you’re probably going to need to do this.  The problem is, these tables are very large, and when you bring them together, the resulting…

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