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.

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.

A look at Qlik Replicate's zero-footprint architecture and how it is designed for scalability and flexibility.

A recent survey from Wakefield Research finds that when enterprises build their own data pipelines, decision-making and revenue suffer.

Struggling to create a CMO dashboard? Learn how to build one with our tips, and make sure you add these 20 metrics as shared by 25+ marketers.

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.

Marketing automation is a critical component of any successful business. It allows you to automate your marketing efforts and streamline how you manage your campaigns from start to finish. But choosing the right software can be tricky, with so many options available on the market today. This article will explore different types of marketing automation solutions and highlight what features make them unique and their pros and cons.