Over the past week or so, I’ve been working on updating our Developer Workshop content. One of the trickiest parts of running workshops is the differences in local environment configuration: some attendees have a Mac, others windows, some with admin permissions, and some without. So much depends on what your company provides and how they manage their systems. To make things easier, I’ve been relying on CodeSandbox to eliminate a lot of the unknown.

One of the most significant benefits of the modern data stack is the loosely coupled nature of each layer to help you adapt to change and capitalize on new business opportunities. You can choose the best solution which fits your need without long-term vendor commitments, and the risk of introducing complex integrations and IT management. One of the ways to achieve this loose coupling is through webhooks.

Many businesses rely on Amazon Redshift Serverless for their cloud data warehouse and ThoughtSpot to derive insights from the data stored within. For this blog, I’m going to show you how to create a connection between Amazon Redshift Serverless and ThoughtSpot. It’s easy to connect Redshift with ThoughtSpot whether you have it running as a cluster which you have provisioned, or serverless.

Are you considering venturing into the world of analytics engineering? Analytics engineers are the newest addition to data teams and sit somewhere between data engineers and data analysts. They are technical, business savvy, and love to learn. A huge part of an analytics engineer’s role is learning new modern data tools to implement within data stacks.

If you have managed a cloud data platform, you have undoubtedly gotten that call. You know the one, it's usually from finance or the office of the CFO, inquiring about your monthly spend. And it usually comes in one of two forms: While both are clear and present dangers to cloud data platform owners, they don’t have to be.

Companies are tightening the belts with one exception: data. The modern data stack shows no signs of a recession with Frank Slootman the CEO of Snowflake saying at their annual user conference they will not slow hiring plans. CNBC Tech Council executives noted how technology investments are business drivers, not cost centers. And Foundry’s annual cloud computing survey cites cloud analytics as a top growth driver. A digital economy is fueling this growth in the data sector.

As the SVP for User Growth at ThoughtSpot, my job is to optimize our product features to reduce friction and encourage more user engagement. I spend my days analyzing our user data to answer questions like: The key to product-led growth is to identify measurable success metrics both for the product overall (your North Star metric) and for each product feature. Choosing the right North Star metric is crucial.

One of the COVID-related changes that seems unlikely to be reversed is the increase in remote work. Particularly in tech, many companies have done away with office requirements entirely. For startups, this will have a profound effect on the ways they will grow, hire, and build culture. For individuals, it will mean figuring out a new routine and approach to daily life.

Pipeline management is vital to the go-to-market strategy of any B2B business. A healthy pipeline is the closest you can get to a guarantee that you’ll make your targets by the end of the sales cycle. As the SVP of Business Operations at ThoughtSpot, I’m responsible for putting actionable insights into the hands of our sales and marketing functions to drive predictable pipeline growth.

It’s that time of year again. Conference season is upon us! And, for the first time in what feels like a lifetime, the data ecosystem is getting back together in person. It couldn’t come at a more important time. The decade of data is upon us, as we unveiled at our own customer conference Beyond 2022. The opportunity is greater than ever before. So, too, is the need to change.