One of the main concerns of Ingres and Vector customers whose systems need to undergo a significant change, such as major version upgrades, OS migration, major software releases, increased volumes of usage, etc., is how to properly test the database under realistic conditions in a test environment. Some customers have heard of the Query,…
In the first part of this two-part article, we created the model. In this installment, we will create the UDF’s in database. We can convert the model to Python, and I used m2cgen to transpile the sklearn model to Python model I will be making 3 types of UDF’s, Python UDF JavaScript UDF Saving…
Recently in Avalanche, VectorH 6.0, and Vector 6.0, Actian introduced a capability for Scalar user-defined functions (UDF’s). This has given Avalanche, VectorH, and Vector a new dimension to run Machine Learning (ML) models in Python and JavaScript within database. More about UDF’s can be found in our documentation. Model creation is simple with so…
One of companies’ biggest mistakes is assuming they understand their customers’ needs, preferences and buying behaviors when they are actually just guessing. The better you understand who your customers are, the more successful you will be developing products and services to serve their needs, packaging them in a desirable way and communicating your offers…
The speed of change in modern business is accelerating. New technologies, globalization, regulatory changes and competitors entering and leaving the market are just a few examples of the types of environmental forces that bombard companies every day. Developing a sustainable, competitive advantage requires company leaders to identify and respond to opportunities and threats quickly,…
We all hear about how forward-thinking companies, small and large, need to be more customer focused, even customer obsessed, to be successful in this hypercompetitive world. Data drives knowledge about your customers’ needs and behaviors, so you can actively tailor your messaging and offers to rise above the competition and win their business. This…
The usefulness of an analytic database is closely tied to its ability to ingest, store, and process vast quantities of data. Data is typically ingested from multiple sources such as operational databases, CSV files, and continuous data streams. In most cases, daily data loads are measured in tens or hundreds of millions of rows,…
We are pleased to announce the availability of Actian Vector 5.1. This release includes enhancements across the product, but the primary focus is with security, performance, and new customer enablement. This post provides an overview of some features added to this release. Security With the advent of GDPR we’ve seen heightened focus on security.…
Last week we activated Actian Vector Enterprise Edition on the AWS Marketplace, so now it’s easier to tap into the fastest analytic engine in the cloud to extract insights from your big data. We can prove that claim based on independent benchmarks by MCG that you can view here comparing Vector performance to results…
OLAP (OnLine Analytical Processing) Cubes are used extensively today, because it is impossible for many database platforms to analyze large volumes of data quickly. This is because most database software does not fully leverage computing power and memory to deliver optimal performance. Some of the symptoms of this are: Large queries end up hogging…
Actian is sponsoring three challenges on Topcoder this month, featuring our Vector and Zen database products and thousands of dollars in prizes. All you need to do is sign on to Topcoder (for free), read and follow the instructions for the competition, and win! It's that easy. Now, the challenges themselves are all different,…
Last November we announced that Actian Vector - Community Edition, our high-performing SQL analytics solution for the cloud, launched for free on the AWS Marketplace. Now we're happy to announce that a similar version has now been released on the Microsoft Azure Marketplace in a similar free-to-use pricing model. If you are a SQL…
The next big data and analytics conference is right around the corner with the Gartner Data & Analytics Summit, hosted at the Gaylord Texan Resort Hotel & Convention Center in Grapevine, Texas from March 5-8, 2018 and Actian will be present, both on the show floor and in a presentation. Emma McGrattan, SVP, Engineering, will…
Introduction Today we're going to look at how to get started with Actian Vector, our high-performance in-memory analytics database, and Python, one of the most oft-used languages by data scientists in recent times. Using the techniques below, you'll be able to get started with Python using Vector ODBC and JDBC. (You'll be able to use…
Using a Vector FARM to Make Big Data Analytics Fast and Easy I’ve been working in the IT industry a long time. What goes around, comes around. My favorite example is how centralized mainframe timesharing gave birth to decentralized client-server computing, now we are going back to timesharing, but in the cloud. Technology does…
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. For…
