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Eight Reasons Why Avalanche Is 8X Faster Than Snowflake
  • October 28, 2020

Eight Reasons Why Avalanche is 8X Faster Than Snowflake

This month, GigaOm published a comprehensive evaluation of leading cloud data warehouse services based on performance and cost. Offerings analyzed included Snowflake, Amazon Redshift, Microsoft Azure Synapse, Google BigQuery, and our very own Actian Avalanche. There are many intriguing results included in the report, but an indisputable conclusion was reached by GigaOm: "In a…

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Six Essential Data Preparation Steps For Analytics
  • September 24, 2020

Six Essential Data Preparation Steps for Analytics

Abraham Lincoln might easily have been discussing data preparation steps for analytics when he said, “If I had 8 hours to chop down a tree, I would spend 6 sharpening my axe.”  Spending 75% of the allotted time on preparation may seem like a lot. But in fact, most industry observers report that data…

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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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Predictive Analytics Can Reduce Customer Churn And Optimize Marketing Efforts
  • September 17, 2020

Predictive Analytics can Reduce Customer Churn and Optimize Marketing Efforts

All customers are not equal – there are some your business just can’t afford to lose. Do you know who they are and what is required to retain them? With predictive analytics powered by Actian Avalanche, you can do just that. Companies have been using statistical modeling, data correlation and behavioral forecasting for many…

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Semi-Structured Data: What It Is And Why It Matters
  • September 15, 2020

Semi-Structured Data: What It Is and Why It Matters

Semi-structured data is emerging as a critical element of business operations and strategies. Typically, business leaders make decisions based on analysis of data stored in forms, spreadsheets, and relational databases – in other words, structured data. However, in a modern business environment, constraining data with forms and tables is no longer sufficient. What is…

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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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Announcing A New Actian ODBC Connector In The Tableau Extension Gallery
  • August 21, 2020

Announcing a new Actian ODBC Connector in the Tableau Extension Gallery

There's now an easier way to connect to Avalanche from Tableau using the new Actian ODBC connector available in the Tableau Extension Gallery. Actian and Tableau have partnered for the past several years to deliver a seamless connectivity experience to our customers. To take advantage of Tableau's latest analytical features, the two teams engaged…

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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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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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Market Basket Analysis Will Improve Product Positioning And Profitability
  • July 17, 2020

Market Basket Analysis Will Improve Product Positioning and Profitability

 “Would you like fries with that?” If you’ve ever ordered a sandwich at a fast food restaurant, then you’ve likely heard these words, but have you stopped to consider why fast food chains train their employees to ask this question? It’s because of what’s called “market basket analysis,” a technique based on the theory…

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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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Connected Data In The Cloud Increases AI System Performance
  • June 29, 2020

Connected Data in the Cloud Increases AI System Performance

Artificial Intelligence (AI) is the core of the next wave of IT systems, and it is time to get ready. The past year has seen tremendous growth in the adoption of artificial intelligence systems to help companies improve operational insights and provide enhanced customer service experiences.  If you aren’t leveraging AI to support your…

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Marketing Agility Through Real-Time Analytics
  • June 24, 2020

Marketing Agility through Real-Time Analytics

Today’s marketplace is complex and competitive, and changes quickly. New competitive products and services are entering the market every day. Customer preferences shift with social trends and pricing dynamics continuously evolve. To win in this type of environment, marketing agility is critical to identify opportunities and threats and to respond to them quickly –…

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Real-Time Decision-Making Use Cases In The Retail Industry – Part 3
  • May 26, 2020

Real-Time Decision-Making Use Cases in the Retail Industry – Part 3

In the first part of my blog on Real-Time Decision-Making (RTDM) highlighting Retail industry use cases, we discussed how combining existing historical data patterns with disparate new sources of data completes the Common Operational Picture (COP).  To illustrate the use-case, we used an Actian customer, Kiabi, and how they used RTDM strategic capabilities to…

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Real-Time Decision-Making Use Cases In The Retail Industry – Part 2
  • May 18, 2020

Real-Time Decision-Making Use Cases in the Retail Industry – Part 2

In my last blog on Real-Time Decision-Making (RTDM), I shifted from a theoretical discussion of what RTDM is to uses cases that highlight key aspects of the value it can bring to business in periods of market uncertainty. I'm using the Retail Industry because its an Industry everyone knows something about coupled with the…

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Real-Time Decision-Making Use Cases In The Retail Industry
  • May 14, 2020

Real-Time Decision-Making Use Cases in the Retail Industry

In the last blog on Real-Time Decision-Making (RTDM), we discussed exactly what it is and why it matters.  Before proceeding with more theoretical discussions, though, it’s probably worthwhile to give you some practical examples of RTDM and how data management, integration, and analytics support, build RTDM strategic capabilities that significantly impact business operations. Retail:…

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