Data-Driven Digital Transformation Means Cloud Data and Analytics
Last year, Gartner declared that on-premises databases are now legacy technology. Are we ready to say the same for analytics and BI?
Last year, Gartner declared that on-premises databases are now legacy technology. Are we ready to say the same for analytics and BI?
Anyone can make a chart, but what’s the right chart? It’s a daily question for BI practitioners, and many of us have been using the highly acclaimed FT Visual Vocabulary to answer that question since its release in 2016.
While there are several different ways to measure the success of a site: one core metric is its traffic. Knowing how well your site performs compared to other sites is crucial in understanding how successful you have been in your efforts against competitors. This is possible if you know how much traffic your competitors are generating. Along with this, some competitor intelligence tools hand over the full list of keywords that bring traffic to a site.
Welcome Technologies builds more robust data pipelines with Fivetran to propel its work on improving the lives of immigrants through a data-first approach. Key Takeaway With its data-first approach, Welcome Tech is developing machine learning and security models to better serve the immigrant community. After building and maintaining a Postgres connector, Welcome Tech brings on Fivetran to scale its data architecture.
From the Kong API Gateway perspective, using Consul as its Service Discovery infrastructure is one of the most well-known and common integration use cases. With this powerful combination more flexible and advanced routing policies can be implemented to address Canary Releases, A/B testings, Blue-Green deployments, etc. totally abstracted from the Gateway standpoint without having to deal with lookup procedures.
The last 3,650 days of my professional life have been focused on making Rails apps faster. Below are five lessons I've learned the hard way.
The 2020 Marketing LUMAscape showcases more than 8,000 tools marketers can use to generate leads, drive brand awareness, and measure all their marketing efforts. But with all those tools, comes a lot of disparate and siloed data. How do you bring them all together in a consistent, reliable, and fast way to understand your ROI, determine attribution, and see which of your marketing efforts are working?