Survey: Lack of data automation inhibits AI maturity
Without automated data integration, broad trust in AI and the right expertise, organizations will struggle to mature their AI capabilities.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
JIT Compilers for Ruby and Rails: An Overview
A program is compiled at runtime using a different method from pre-execution compilation. This process is known as just-in-time compilation or dynamic translation. In this post, we'll look at why JIT compilation can be a good choice for your Ruby on Rails app, before looking at some of the options available (YJIT, MJIT, and TenderJIT) and how to install them. But first: how does JIT compilation work?
Three Must-Read Data and Analytics Books with Tim Harford, Zhamak Dehghani, and Brent Dykes
It is once again that time of year when our host, Cindi Howson shares her favorite data and analytics book recommendations. In this special annual episode, we feature three of the industry’s top data writers, thinkers, and fellow podcasters. Tim Harford comes to the conversation with his new book, The Data Detective, and big-picture ideas about how traits like curiosity serve data scientists so well. Zhamak Dehghani shares her concept of The Data Mesh, especially as it relates to sharing data across business verticals. Finally, in his book, Effective Data Storytelling,
Kong Builders- Sep 7 | Kong Hackathon Edition - Mesh & API Automation Hacks
All of September, we will be featuring the Kong Summit Hackathon with a live stream every Wednesday to help you get started with contributing to Kong! In this episode, Kat Morgan will be showing you how to contribute to Kong with #konggateway and #servicemesh and #gitops hack examples.
6 Essential SaaS Tools for Growing Your Business
SaaS (Software as a Service) has gained massive popularity within the last decade. Consumer software, like Google, is the most well-known today, but it accounts for only a fraction of the SaaS industry. Today’s modern enterprise SaaS platforms address specific business needs — such as Salesforce resolving customer data management and Zoho addressing help desk issues. So how can you get a leg up on the competition? Simple: use the right tool or platform(s).
10 - Hyperdatasets Data Versioning
This video introduces Hyperdatasets. Hyperdatasets is a data management system that’s designed for unstructured data like text, audio or visual data. It is part of the ClearML paid offering, which means it brings along quite a bit of upgrades over the open source clearml-data.
A Guide to APIs and Data Warehouses
Enterprise data is a valuable asset in today’s digital economy. As a result, companies are always looking to utilize data services to get more out of their valuable data. Two ways that companies can achieve this is through using APIs and data warehouses. Did you know that the global data warehousing market size is projected to reach over $51 billion by 2028 or that the worldwide API management market size is expected to reach over $13 billion by 2027?
Optimize Driver Behavior to Reduce Fuel Consumption | Integrate.io
While advancing technology is beginning to bring us electric vehicles, most vehicles on the road still operate on fossil fuels. This includes the commercial vehicles used in major fleet operations. Traditionally, gathering metrics regarding a driver's driving style, vehicle speed, cruise control usage, diagnostics, drive cycle, a vehicle's engine, and other factors has been quite difficult.
Getting Started with GEOMETRY Data-When a Map Is More Than a Map
In part 1 of this blog series, we looked at how Snowflake supports the GEOGRAPHY geospatial data type, which works with the earth as an ellipsoid, measuring distances over a curvature and plotting objects using the latest World Geodetic System, WGS84.
7 Most Common Dashboard Design Mistakes to Avoid
Dashboards are an important data analytics tool for understanding business metrics and managing your business performance. However, if your dashboard is not designed well, it can be difficult to use for analysis, and ineffective for decision-making. Dashboard design should be simple and accessible, and reflect your company's branding and identity. Ensuring your analytical dashboard is readable, usable and accurate is heavily reliant on following best practice dashboard design.