Blogs by

Lena Larionova

Predictive analysis can potentially be pretty complex and intimidating to set up. While the applications for it are practically endless, the learning curve can be a challenge. However, whether you’re a data scientist, or simply a developer

In a previous blog, I talked about how to guarantee data delivery with SDK publishers. This time around, I’ll get into how to achieve GD with Streaming Web Service (SWS) publishers using REST and WebSocket

It’s been a while since we’ve posted one of these question round-ups – the last one was back in March. Since then, you’ve been busy asking lots of questions about all sorts of topics, so

In the previous blog, you learned how to request and install a permanent license for SAP HANA streaming analytics. Installation is usually successful, but what happens if you run into license issues later? Is it

When you first install SAP HANA streaming analytics, a temporary license is automatically installed so you can run streaming analytics for 90 days. After that, you’ll need to request and install a permanent license, which

Since my last video roundup, we’ve added lots more stuff to the streaming analytics playlist. Take a look! (You’ll notice that some of these videos will refer to “smart data streaming” and some to “streaming

In a couple of previous blogs, you learned about guaranteed delivery (GD) and how to use it with subscriptions in different scenarios. In this new series, I’ll talk about how to guarantee data delivery with

Since its introduction in 1.0 SP 12, the streaming plugin for SAP Web IDE has been improving release to release. With 2.0 SP 02 come more new features and enhancements for both the plugin and

In the first blog in this series, I talked about what guaranteed delivery is, how it works, and why you should probably use it for your streaming projects and adapters. If you missed it, you

It’s common for streaming projects to use guaranteed delivery, or GD, which is a delivery mechanism that ensures all of the data going into a project, and all of the data processed by a project,