Expanding Your Analytics Audience: Make Information More Accessible with Natural Language Query

In an ideal world, all employees serving across all job functions would be able to access and analyze all the information they need with ease. Unfortunately, today most analytics technologies still require specialized skills and expertise. As a business intelligence industry we try to overcome these obstacles by making self-service analysis easier with improvements to the user interface and streamlined processes. But we know that analysis, by nature, is complex and requires data literacy and skills.

REST API With Python

According to Stack Overflow Developers’ Survey 2019, Python is the second “most loved” language with 73 percent of the developers choosing it above other languages prevailing in the market. Python is a highly versatile language that supports a wide variety of use cases across several languages. It is a language well-known for its ease of use, portability, and ability to handle large data sets.

More Throughput and Faster Execution for Interactive Use Cases: Now in Public Preview

Snowflake is the data backbone for thousands of businesses, enabling data access and governance needed to deliver value. Interactive use cases in some data applications and embedded analytics, however, pose a particular challenge. Traditionally, you needed an additional caching layer to provide the required speed and throughput these solutions require—which also increased costs and architectural complexity.

Five Ways to Use Salesforce With Heroku

Salesforce and Heroku are two of the most powerful platforms for businesses. Salesforce is a CRM that has been around since 1999 and Heroku is a cloud-based platform that allows you to create, run, and scale apps built in any language (such as Salesforce's native Sales Cloud). When you connect Salesforce to Heroku, you can automatically get Salesforce CRM data to update the Sales Cloud.