Systems | Development | Analytics | API | Testing

What's new in BigQuery ML: non-linear model types and model export

We launched BigQuery ML, an integrated part of Google Cloud’s BigQuery data warehouse, in 2018 as a SQL interface for training and using linear models. Many customers with a large amount of data in BigQuery started using BigQuery ML to remove the need for data ETL, since it brought ML directly to their stored data. Due to ease of explainability, linear models worked quite well for many of our customers.

8 key considerations for choosing an Embedded Analytics solution

Historically, analytics has not always been a priority feature for software vendors. Many applications typically are built with analytics bolted-on later, as standalone tools. But the changing needs of today’s business users has accelerated the importance of providing in-built ways to monitor and explore their data while they use your software.

How to Estimate Any Website Traffic with These 3 Tools

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.

Turbocharge Your Application With Contextual Analytics Webinar - Yellowfin BI

Innovate your application and create highly valuable analytic experiences for your end-users with contextual analytics. Contextual analytics, as the next phase of embedded, brings dashboards, automated analysis and analytics directly into your application’s core workflows delivering data directly within the user interface and within the transaction flow. By seamlessly blending analytics and actions, improve both your app’s core functionality and enable opportunities for exciting new analytical experiences for your users - and improve the value of your application.

Data Exploration & Reporting with Cloudera Data Warehouse

In this video, we’ll go over how you can use both Cloudera Public Cloud to both Ingest data through Cloudera Data Engineering as well as explore it through Hue and Impala within Cloudera Data Warehouse. You'll see how easy it is to run queries that give you insight into your data and how you can use a built in data visualization tool to then create a dashboard to share your results.

Scalable Data Stack Helps Welcome Tech Empower Immigrants

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.