Systems | Development | Analytics | API | Testing

What defines the modern data stack and why you should care

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.

Understanding the Context of Data

Today, the internet is full of articles covering Web 3.0, aka the Semantic Web, almost as if it were new innovation. Jack Berkowitz, CDO of ADP, has decades of data experience, and feels there are two things that must be true in this field. First, data has to be leveraged to benefit the business. Second, the data has to have integrity. Without either of these elements to drive purpose and context, companies are just looking at fancy graphs and spreadsheets.

ThoughtSpot for Snowflake Telecom Data Cloud

Snowflake Telecom Data Cloud and ThoughtSpot Analytics empowers Telecom customers with fast, easy access to search and AI-driven analytics directly on data in Snowflake’s single, integrated platform. With the Telecom Data Cloud, Snowflake and its ecosystem of partners including ThoughtSpot can help telecommunications service providers accelerate digital transformation, enable superior customer experiences, maximize operational efficiency, and monetize new data services.

Data Engineer vs Analytics Engineer: How to choose the career that's right for you

A little over a year ago, I found myself feeling stuck in my role as a data engineer. I had majored in business in college and was looking to connect more with that side of things. I enjoyed my tasks as a data engineer but I wanted more flexibility and creativity. I wanted to be involved in business decisions rather than my tasks already being decided for me.

What's new in ThoughtSpot Analytics Cloud 9.0.0.cl

Check out ThoughtSpot Analytics Cloud 9.0, our biggest cloud release ever! Sync your data to HubSpot and ServiceNow, connect to PostgreSQL via live query, share your data connections, and embed a new Liveboard experience with tabbed navigation, flexible tile sizing, and more! Also, preview early access features - simply ask your admin to switch them on.

ThoughtSpot and Databricks make governed, self-service analytics a reality with new Unity Catalog integration

Two years ago, we announced our Databricks partnership—including the launch of ThoughtSpot for Databricks, which gives joint customers the ability to run ThoughtSpot search queries directly on the Databricks Lakehouse without the need to move any data. Since then, we’ve empowered teams at companies like Johnson & Johnson, NASDAQ, and Flyr to safely self-serve business-critical insights on governed and reliable data.

What is data mining and what are the best techniques to follow?

The most successful organizations today know they need to use business analytics to make decisions and drive outcomes. Often, however, these decisions must be driven by insights that can remain hidden in data. That’s where data mining comes into play. Data mining is a powerful tool to help extract meaningful insights from even the largest, most complex data sets.

How to launch a modern analytics strategy

We’ve established that we’re living in the defining decade of data. Data underpins the seismic technology shifts of the past few years, transforming the way we buy, work, make business decisions, even value our companies. As ThoughtSpot’s co-founder Ajeet Singh said, “Once in a generation, the opportunities to create a legacy increase massively. It happens when truly tectonic shifts happen in the ecosystem. We’re living through one of those times.”