The rise of edge computing is fueling demand for embedded devices for Internet of Things (IoT). IoT describes physical objects with sensors, processing ability, software and other technologies that connect and exchange data with other devices and systems over the Internet or other communications networks. Diverse technologies such as real-time data analytics, machine learning,…
When a company is data-driven, it makes strategic decisions based on data analysis and interpretation rather than mere intuition. A data-driven approach to supply chain management is the key to building a strong supply chain, one that’s efficient, resilient, and that can easily adapt to changing business conditions. How exactly you can best incorporate…
Poor quality data can lead to inaccurate insights, wasted resources, and decreased customer satisfaction. It is essential to ensure that all of your data is accurate and up-to-date to make the best decisions. Still, common issues and mistakes costs organizations millions of dollars annually in lost revenue opportunities and resource productivity. Thankfully, these pitfalls…
Machine learning is a type of artificial intelligence that provides machines the ability to automatically learn from historical data to identify patterns and make predictions. Machine learning implementation can be complex and success hinges on using the right integration, management, and analytics foundation. The Actian Data Platform is an excellent choice for deploying machine…
If you haven’t already seen Astrid Eira’s article in FinancesOnline, “14 Supply Chain Trends for 2022/2023: New Predictions To Watch Out For”, I highly recommend it for insights into current supply chain developments and challenges. Eira identifies analytics as the top technology priority in the supply chain industry, with 62% of organizations reporting limited…
Do you need a Data Warehouse or Enterprise Data Warehouse (EDW) in your organization today? Its functional units, people, services, and other organizational assets support the vision and mission of an organization. An organization can have strategies, tactics, and operational activities that are performed to meet the overall vision and mission of the organization…
There’s no one-size-fits-all solution for a modern data platform, and there likely never will be with the proliferation of multiple public and private cloud environments, entrenched on-premises data centers, and the exponential rise in edge computing – data sources are multiplying almost at the rate of data itself. Today’s data platforms increasingly take a…
Part 2: You Need Composable Data and Analytics In my first blog on engineered decision intelligence, I shared information about what this concept means and why you need it, and then I elaborated on the Gartner recommendation for pairing decision intelligence tools with a common data fabric. But there was a second piece of…
Actian Vector is a vectorized columnar analytics database designed to deliver extreme performance with a high level of security. But who wouldn’t want analytics that are even faster and more secure? For those who do, the new Vector 6.2 release available on November 10, 2021 is a winner, continuing to push the limits of…
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,…
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…
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…
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…
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…
Actian VectorH 6 Enables User Defined Functions, Machine Learning, Semi-Structured Data Support, and Enhancement of Workload Management Capabilities. Actian is pleased to announce the availability of Actian VectorH 6. This release includes new features, including User Defined Functions (UDFs), JSON Support, and Workload Management. This post provides an overview of some features that have…
