Laziness is good because laziness is efficient. 👉 Being Lazy means not having to learn anything new. 👉 Lazy means leveraging what you already know. Zipstack follows a "Pervasive SQL" strategy. 👉 You do pretty much everything using SQL: To learn more: zipstack.com/blog/salesforce…

Our bosses have reminded us for the umpteenth time that we’re going to talk shop & have a productive #offsite But the zipfolk can’t keep calm! It’s exciting to think about working together & meeting new faces Here’s to socialising, team building &creating a mark in the data world

Why do you need a lakehouse in your modern #clouddatastack and how can Zipstack help? In today’s data-intensive world, enterprises focus on analytics and the central problem relies on what to do with all the data that has been collected. #DataPlatform

For data teams looking to streamline their operations & increase data productivity, Zipstack cloud data stack is a game changer. You can go from sign-up to insights in just minutes, not weeks! To learn more: zipstack.com/book-a-demo

☀ How to supercharge your cloud data stack with Zero ETL? ➡ Enterprises today are dealing with massive volumes of data that vary in variety from different sources, in different formats, and sometimes stored in siloes. #CloudDataStack #DataAnalytics #Datateam #ETL

✨ What is Zipstack? 👉With an explosion of volume and variety of data, data engineering isn’t scaling linearly. 👉 Organizations that never had a data team are thinking of hiring one. #CloudDataStack

The #ZipFolk at @FreshworksInc marathon today! Go team! #teamdata

2023: The year #bigdata gets smaller and more manageable. This year's trends will be less about optimizing or scaling infrastructure, and instead about processes for making data more organized, reliable, and accessible. Check out what top experts had to say👇

Best wishes for a Happy Christmas and a prosperous New Year from all of us here at Zipstack! #MerryChristmas #NewYear #zipfolk #teamdata

Since the advent of data mesh by @zhamakd, there has been a lot of discussion around the definition of what is a “data product” and what is “data as a product” in the data world. So what are data products and what is data as a product?