Why model anything? There are many types of models with many types of usages, such as physical, scientific, mathematical, computer, concrete, communication, etc. The overall purpose is to define, support analysis and decisions, and to communicate or validate a system or perspective. Models can also be used to help speed things up or slow…
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…
Part Three: SQLite, the “Flat File” of Databases Over the past few articles, our SQLite Blog series has been looking at SQLite Serverless Architecture and how it is unsuitable for IoT Environments. Those of you who have been following can jump ahead to the next section, but if you’re new to this discussion, you…
This is the final installment on the series of blogs I wrote on the continued use of flat files and why they are no longer viable for use in the future. The first installment focused on flat files and why embedded software application developers readily adopted them. Then in the second installment, I discussed why embedded…
There are a lot of myths and misconceptions about cloud data warehouses. One of the biggest ones is that all cloud data warehouses cost the same. On the surface, cloud data warehouse vendors may talk the same language – describing similar features, benefits and touting the performance gains of operating in the cloud. But…
Many software as a service (SaaS) companies are looking at embedding integration capabilities into their SaaS offerings as a way of making their solutions both more appealing to customers and more profitable for them as providers. Embedded integration can make SaaS solutions easier to adopt, cheaper to integrate and more difficult to replace when…
Total Cost of Ownership (TCO) has been an essential Key Performance Indicator (KPI) for the IT industry for many decades – and rightfully so. Large scale capital expenditures for IT infrastructure and data center resources were incurred at the onset of a project, allocated to different business functions and amortized (along with maintenance and…
Checklist: Critical Capabilities to Consider when Selecting a Data Integration Vendor That Enables Real-Time Analytics Use Cases Migrating to a cloud data warehouse makes strategic sense in the modern context of cloud services and digital transformation. Operationally, connecting disparate data sources into your cloud data warehouse, managing ongoing change in your IT environment, and…
Why embedded software application developers adopted flat files Recently, my colleague here in Actian Product Marketing, Pradeep Bhanot, wrote a great blog on Data Historians in which he called for their retirement in favor of more modern databases to support time-series data processing and analytics. But, in some ways, historians are not as historic…
Technology is continually changing and determining the right time to upgrade and modernize can be tricky. If you adopt new technology too soon, this may result in churn within your organization and the implementation of immature solutions that may not meet your needs. If you wait too long, you miss out on market opportunities…
When architecting your data warehouse solution, separating compute and data storage is extremely important for both operational sustainability and economic efficiency. Different things drive the technical needs for each of these, the capacity demands of the organization are different, and the best solution requires optimizing compute and data storage separately. Storage capacity is a…
IoT devices create plenty of data – much more that you might think. When you multiply this amount of data by the number of devices installed in your company’s IT ecosystem, it is apparent IoT is a truly big data challenge. Two common questions IT staff and data management professionals have been asking during…
For software companies developing new solutions in the cloud, the overall mission can be a daunting proposition. Cloud Software Development is an ever-evolving landscape, where one piece of technology may be popular one day, only to be replaced for something better a little while later. Then, there is a slew of tech jargon along…
Over the past few years, we’ve seen an increasing trend of regional governments applying unique restrictions and controls on where data is stored and how it is managed for users and businesses in their jurisdiction. The EU and Japan have recently imposed some strict rules about data export. A cloud data warehouse can be…
Most modern companies have fully embraced the cloud as the preferred place to host the applications that their businesses use. Many new applications are “cloud-native” or are designed specifically for operating in the cloud, while many of the legacy applications that your company uses today may have been designed to run on hardware in…
Most IT leaders will agree: the cloud is the right place to host and operate many of their applications and systems. What isn’t quite as clear for these leaders is “which cloud” they should use. The answer is “There is no right answer.” Each company (and application) has its own unique set of technical…
