Today, May 21st marks ThoughtSpot’s nine year anniversary as a company. We’ve come a long way from exchanging ideas at Starbucks and working from an office set-up inside LightSpeed Ventures for the initial few weeks. Today, we offer customers the most innovative cloud analytics platform in the world and help thousands of users ask and answer questions with data.
Data integration can easily become non-performant. Learn about some common bottlenecks.
Many people may know me as someone who aims to find a mathematical angle in almost everything. And they wouldn’t be wrong – on my journey to bring my passion for math to the masses, I’ve even shown the mathematical angle for finding love! Yes, really – feel free to read my book on it. So, if there’s just one thing that I want people to take away from my chat with Joe DosSantos on Data Brilliant, it’s that math and data really do touch every part of our lives.
Automation will fail to achieve most of its potential if treated as a specialty, single-function tool applied only to accelerate narrow parts of business processes. In most industries, financial services included, automation done properly is a journey that delivers a steady stream of benefits resulting from building a broader and increasingly powerful multilayered stack of automated processes and analytics.
In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. This year, we expanded our partnership with NVIDIA, enabling your data teams to dramatically speed up compute processes for data engineering and data science workloads with no code changes using RAPIDS AI.
