Systems | Development | Analytics | API | Testing

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Quick wins for modern analytics projects with Amazon Redshift and Stitch Data Loader

It’s no secret that the cloud data warehouse space is exploding. Driven by the need for on-demand, performant data warehousing solutions, businesses are turning to public cloud providers to modernize their analytics infrastructure and help them make better business decisions. Among the leading data warehouse options from the public cloud providers is Amazon Redshift. Redshift offers a petabyte-scale, fully managed data warehouse service in the cloud.

Bugfender compatibility with SwiftUI and Project Catalyst

When Apple introduced SwiftUI back in July we immediately knew it was going to generate a lot of expectations. As app developers ourselves, we are very aware about the complexity of User Interface development in iOS. UI has been keeping apps especially expensive and error prone along the years. Many frameworks were created to improve this situation like ComponentKit, Texture or even React Native.

Speed and Trust with Azure Synapse Analytics

As a Microsoft partner, we’re excited by the announcement of the Azure Synapse Analytics platform. Why? Because it furthers the ability of businesses to leverage data-driven insights and decision making at all levels in an organization. (And we love that!) Together, our joint customers are already leveraging data in amazing ways to tackle everything from creating customer 360 views to reducing project times for data analytics from 6 months to 6 weeks.

Your Innovation Backlog is Your Guide

We’ve been thrilled to recently bring Tereza Nemassanyi to our team as our new CRO. Tereza brings more than just experience to the Keboola team from Microsoft - her unique perspective and constant devotion to speaking on innovation is the kind of thought leadership that excites us. We sat down with Tereza to get the scoop on her approach to innovation and how she thinks the innovation backlog can be the key to business growth.

How to use your data skills to keep a step ahead

While the impetus for transforming to a data-driven culture needs to come from the top of the organisation, all levels of the business should participate in learning new data skills. Assuring data availability and integrity must be a team sport in modern data-centric businesses, rather than being the responsibility of one individual or department. Everyone must buy in and be held accountable throughout the process.

Augmented Intelligence - So Much More Than Search

The hype around AI is deafening, creating a noisy and confused environment. Organizations are looking for clarity on the role and application of AI in bringing more value to data, and for help avoiding the pitfalls that surround so many of these projects. These pitfalls include error-prone decision making and unintended consequences based on flawed data or “black box” algorithms, and gimmicky approaches including simple search and bolt-on AI that overpromise and under deliver.