With the general availability of Cloudera DataFlow for the Public Cloud (CDF-PC), our customers can now self-serve deployments of Apache NiFi data flows on Kubernetes clusters in a cost effective way providing auto scaling, resource isolation and monitoring with KPI-based alerting. You can find more information in this release announcement blog post and in this technical deep dive blog post. Any customer willing to run NiFi flows efficiently at scale should now consider adopting CDF-PC.
At Snowday 2021, Snowflake announced exciting new product capabilities that expand what is possible in the Data Cloud. In addition to announcing Python support in Snowpark (currently in private preview), these latest innovations make it easier for organizations to maintain business continuity across clouds and regions; help data engineers and data scientists build pipelines, ML workflows, and data applications faster; and remove the complexity of getting the right data into the hands of customers.
Today, we announced our Series F funding at ThoughtSpot, valuing the company at $4.2 billion. As the Co-founder and Executive Chair, it’d be customary to write a post that celebrates this milestone, shares lessons learned, and the usual. Those can come later. Instead, I want to take this opportunity to express my gratitude to all the people that have been a critical part of my journey as an entrepreneur, both at ThoughtSpot and Nutanix (now valued at $7B+).
As we announce to the world today that ThoughtSpot is now worth $4.2B, I am overwhelmed with gratitude. I am grateful to the customers who had the courage to challenge the status quo and give us a shot inside their companies. I am equally grateful to the entrepreneurs and investors who had the courage to join us and build a company that is changing what's possible with data. Often, people say it's hard to be courageous in the face of adversity. I say that’s conformist bullshit.
Business intelligence (BI) has gotten so sophisticated that a variety of end users within an organization may be eager to use data to guide their decisions. Unfortunately, most businesses have a very small data analysis or BI team. How can companies like this enable more people to use more data more effectively without overwhelming their BI staff?
Material Bank, the world’s largest materials marketplace, provides a fast and powerful way to search and sample fixtures, construction materials, and textiles from hundreds of different brands. They serve both direct customers and retailers in the architecture and design industry, including massive companies such as Ethan Allen, Home Depot, and Lowe’s.
The word “data” is ubiquitous in narratives of the modern world. And data, the thing itself, is vital to the functioning of that world. This blog discusses quantifications, types, and implications of data. If you’ve ever wondered how much data there is in the world, what types there are and what that means for AI and businesses, then keep reading!
