As companies go all in on the cloud to dominate the decade of data, agility, flexibility, and ease of use are critical to success. That’s why we’re so excited to announce ThoughtSpot’s support for Amazon Redshift Serverless which allows customers to leverage the Modern Analytics Cloud to run and scale analytics on Amazon Redshift without having to provision and manage any data warehouse infrastructure.
Today, we are excited to announce the availability of CodeSpot, a searchable repository of ThoughtSpot blocks and code samples to help developers embed engaging analytics experiences into any app for the modern data stack. CodeSpot harnesses the knowledge and experience of ThoughtSpot Everywhere developers, data analysts and engineers, and product experts to build a broad ecosystem of shareable assets to accelerate development projects and benefit our developer community and customers.
ThoughtSpot elements such as search, Liveboards, and data connections are all defined in a JSON-based metadata definition called ThoughtSpot Modeling Language, or TML. Recently, I blogged about how you can use Postman to access platform APIs to import/export TML as part of your devops processes; for example, to check in TML definitions and push to another environment via a continuous integration process. The TML export is pretty straightforward.
When I was working at Google back in the mid 2000’s, we dealt with tens of billions of ad impressions a day, trained several machine learning models on years worth of historic data, and used frequently-updated models in ranking ads. The whole system was an amazing feat of engineering and there was no system out there that was even close to handling this much data. It took us years and hundreds of engineers to make this happen, today, the same scale can be achieved in any enterprise.
We’re entering the defining decade of data. While every aspect of our lives have been changed by data in recent years, the next ten will see data rebuild the world around us. Every business, in every industry, needs a plan to adapt to this new world if they want to thrive. But how? That’s a question in the minds of data leaders, CEOs, and board members. The right approach is critical if companies want to dominate this new era. The wrong decision can spell disaster.
Gaining an accurate view of revenue intelligence for B2B markers is challenging. With disconnected and dirty data residing in many systems, customers need a solution that collects, normalizes, and aggregates information into reports that answer the questions B2B marketers should have a handle on. And let’s face it, no matter how great a set of standard reports might be, every customer wants to see their data a little differently.
Embedding an iframe is a great option to embed content because of its security and performance features, but it can be tricky to get the right fit. Especially when we interact with them, or the user changes the browser viewport. Some of the most common issues include an additional or missing scroll bar or the modal windows opening inside the iframe without showing the center of the current viewport.
A lot can happen in 18 months. In a startup, that’s even more true. Here at ThoughtSpot, where we’re known for innovation at a breakneck pace, that feels like a lifetime.
Today, Gartner has positioned ThoughtSpot as a Visionary in the 2022 Magic Quadrant for Analytics and Business Intelligence Platforms, a recognition that we are so excited to continue living up to for our customers.
"I have no particular talent, I am just passionately curious"— Albert Einstein When was the last time you thought about optimizing your analytics toolset for curiosity? Yet what is the value of all the data and analytics in the world if not paired with human curiosity?
