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Keboola and ThoughtSpot partnered up to offer click-and-launch insights machines. With the original integration, you can already cut the time-to-insight. Keboola helps you get clean data and ThoughtSpot helps you turn it into insights. What’s new? The new solution builds out-of-the-box and ready-to-use data pipelines (Keboola Templates) and live self-serve analytic dashboards (ThoughtSpot SpotApps) from the ground up. You just need to click-and-launch your analytic use case.

Star schemas and snowflake schemas are the two predominant types of data warehouse schemas. A data warehouse schema refers to the shape your data takes - how you structure your tables and their mutual relationships within a database or data warehouse. Since the primary purpose of a data warehouse (and other Online Analytical Processing (OLAP) databases) is to provide a centralized view of all the enterprise data for analytics, data warehouse schemas help us achieve superior analytic results.

Don’t sacrifice scalability for savings - have it both ways When left unchecked, the cumulative costs of your company data can ramp up fast. From training CPU-intensive machine learning algorithms that aren’t used in production to supporting enormous databases storing every minute event “just in case”. Letting your data operating costs run without checks and balances can quickly cause costs to bloat beyond your allocated budgets.

The Extract, Transform, and Load process (ETL for short) is a set of procedures in the data pipeline. It collects raw data from its sources (extracts), cleans and aggregates data (transforms) and saves the data to a database or data warehouse (loads), where it is ready to be analyzed. A well-engineered ETL process provides true business value and benefits such as: Novel business insights. The entire ETL process brings structure to your company’s information.

Whether you are trying to establish a new niche, carve out a bigger share of a mature and competitive market, or increase the value of your existing products or services, data can be used to gain a competitive advantage and increase your revenue. In this article, we will establish what data monetization is, how it translates to business use cases, showcase how it impacts business performance, and offer guidance on how to start monetizing data today.

Since the beginning, Keboola has been designed to be a world-class data platform as a service. Based on the results of this season’s G2 statistics, we have succeeded yet again. The purpose of the Keboola platform is to make our customers’ data processing simple, reliable, and transparent throughout the company. We love our customers and value the feedback they've given our teams over the years.

The modern enterprise taps into over 400 different data sources to extract the insights that sharpen its competitive edge. The complexity, though, does not stop at the origin, where data is generated. To get valuable insights from raw data enterprises must extract data from its source, transform the data (clean and aggregate it), and finally load the data into a data warehouse or BI tool, where it is served to data scientists for analysis.

We previously wrote how the data mesh architecture rose as an answer to the problems of the monolithic centralized data model. To recap, in the centralized data models, ETL or ELT data pipelines collect data from various enterprise data sources and ingest it into a single central data lake or data warehouse. Data consumers and business intelligence tools access the data from the central storage to drive insights and inform decision-making.

Running your business without data is like flying blindfolded. You might get lucky or you might crash without warning. Telemetry can help you spot issues before they develop and hurt your bottom line. In this article, we’ll dive deep into what telemetry is, how to set it up (with best practices and common pitfalls to avoid), and equip you with the tools to automate it.

Rohlik is a data-driven e-commerce that bridges the gap between food producers on the one hand and retail consumers on the other. By delivering the best quality food blazingly fast without compromising on quality, Rohlik has expanded across the European continent, operating multiple brands including Knuspr, Gurkerl, Sezamo, and Kifli, and growing 53% year-over-year. Becoming the first Czech unicorn company in 2021. Rohlik used Keboola to drive data-driven processes from day one.