Systems | Development | Analytics | API | Testing

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.

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.

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.

Stuck manually updating data for that Excel report? There is a better way to spend your time at the office. Automated data processing can do the heavy-lifting for you and liberate your schedule for more productive and creative work.

Mass data fragmentation causes companies multiple problems - from missed business opportunities to increased risks of security breaches. To better appreciate the risks, we need to better understand what is the nature of data fragmentation, what causes it, and how to solve the problems of data fragmentation.

Our data operations platform was built with one purpose in mind - empowering users to gain insights from their data, fast and hassle-free, by uniting all the data processes under one roof. We put our customers' needs front and center of our product, that is why we are thrilled to announce that G2, the world’s leading software peer-to-peer review marketplace, named Keboola a Leader in 3 categories in its Summer 2022 Report.

Imagine you want to take data out of the Keboola’s ecosystem. But the unexpected happens - there is no devoted Writer component! You search through all the destination Writers - from Snowflake to Excel - but nothing works for you. This is when the Generic Writer comes in handy. The Generic Writer is a Keboola Component that allows you to send data to an API destination outside of Keboola.

Teradata Vantage is the connected multi-cloud data platform for enterprise analytics. It unifies enterprise-grade data lakes, data warehouses, analytics, and data sources. With Keboola, enterprise clients can now integrate their Teradata Vantage as a backend to iterate faster and streamline your data operations.

Unlike what the mainstream media would like you to believe, the modern auto industry is not just Tesla. All the initiatives do not revolve around artificial intelligence, deep learning algorithms, and autonomous vehicles. Automotive manufacturers, resellers, car dealerships, and other stakeholders in the automotive sector are fighting a different battle.