Radnor, PA – September 18, 2018 – As organizations look to expand the value of analytics, developers are playing a key role in creating new and innovative answers to big data and IoT challenges through advanced custom analytics. Qlik® is committed to helping developers take on any business need they can imagine more easily through analytics in all its forms.

Creative Dock is a Czech startup studio where ideas for new businesses are born, and under their management these ideas become fully-fledged companies. As a client Creative Dock, therefore, represents several clients from different sectors with different needs. A client like this can be a tough nut to crack. When we won the proposal for Creative Dock it meant implementing several tools at a time, and we knew we were in for a rough ride. But we like a challenge.

In this blog post, we’ll share more on how we built the BigQuery Ethereum Public Dataset that contains the Ethereum blockchain data. This includes the primary data structures—blocks, transactions—as well as high-value data derivatives—token transfers, smart contract method descriptions.

Now you can visualize your performance data with fewer clicks and in less time than ever before.

Yellowfin has always been a data-focused organisation. But for far too long our finance team has relied on Excel as their core mechanism for analyzing our business. Recently, that’s changed at Yellowfin thanks to our new CFO, Keith Bold. Keith really understands the power of data and wanted to empower the finance team to join the rest of our organisation who use BI every day.

Solving a Rubik’s Cube. Skiing uphill. Completing Goldeneye on the N64 and looking suave when standing next to George Clooney. These are all things which are harder than marketing your product to developers. But, to be honest, we can’t think of too many more. We’ve tried everything to promote Bugfender to the development community. Being developers ourselves, we should have known how difficult this would be.

Thanks for continuing to read all of our streaming data use cases during my exploration of Talend Data Streams. For the last article of this series, I wanted to walk you through a complete IoT integration scenario using a low consumption device and leveraging only cloud services. In my previous posts, I’ve used a Raspberry Pi and some sensors as my main devices. This single board computer is pretty powerful and you can install a light version of Linux as well.