For the past two years, Snowflake and Talend have joined forces developing deep integration capabilities and high-performance connectors so that companies can easily move legacy on-premises data to a built-for-the-cloud data warehouse. Snowflake, which runs on Amazon Web Services (AWS), is a modern data-warehouse-as-a-service built from the ground up for the cloud, for all an enterprise’s data, and all their users.

Today on July 19, we released Talend Summer ’18, which is jam-packed with cloud features and capabilities.

We’re really happy to announce that Bugfender 2.0 went live in last quarter – a long awaited release that brings many feature requests from our users. We’d like to take this opportunity to thank you all for your feedback. It’s truly invaluable and helps us to improve Bugfender every day. As some of you may be aware, the service experienced some occasional down time during June.

We created this resource to solve one basic problem: Once you go through all the work of building an app, how can you be sure to nail the landing? In the rush to get an app out, many developers can forget to tag releases or lose depository information that simply needed to be earmarked for a future update. There are some final security measures that need to be taken to protect your app. Whether it’s due to excitement or fatigue, it happens.

Digital Transformation, the application of digital capabilities across the organization to uncover new monetization opportunities, is the path that any company wishing to survive in today’s world must follow. Sectors like agriculture, healthcare, banking, retail, and transportation are exploring challenges and opportunities that have come with the digital revolution. As a result of this, new business models have emerged while IT departments have become the focus of digital transformation.

In 2016, on the eve of the Black Friday sales frenzy in the US, a research firm called Apteligent released a report estimating how much money firms could lose if their apps crashed on the big day. The report tallied up the amount of money spent by retail app customers on Black Friday the previous year and worked out what would happen if every customer experienced at least one crash during peak hours.