Data

An ever growing miscellaneous list of travel tips and thoughts that occur to me. These are about travel itself, not my actual travels.<ul><li>After flying international, getting low cost flights for remainder of the journey isn&#39;t worth it.</li><li><span style="line-height: 1.538em;">Don&#39;t always go for the cheapest option for transfers etc, often not worth it the long run.</li><li><span style="line-height: 1.538em;">British airports suck and so do most of the associated services, they have some of the worst customer service around.</li><li><span style="line-height: 1.538em;">Going off the beaten track is worthwhile.</li><li><span style="line-height: 1.538em;">Hotels are the past, airbnb is the future.</li><li><span style="line-height: 1.538em;">Being an English speaker is an amazing luxury when traveling.</li><li><span style="line-height: 1.538em;">There is a gap in the market for a decent travelers sim card with good data. <a href="https://www.lebara.com.au/" target="_blank">Lebra</a>, and <a href="https://uros.com/" target="_blank">Uros</a> come close, but still not quite, please let me know if you know of anything better available in Australia.</li><li><span style="line-height: 1.538em;">Is it me or do airlines not want to give away add much alcohol as they used to?</li><li><span style="line-height: 1.538em;">One travel power adapter is rarely enough.&nbsp;</li></ul>

The VoIPstudio Telecom system is a unique cloud system running on a large amount of servers in a wide variety of locations. Each data center has two basic roles: storing data in real-time and backup for other locations in the system.

Many organizations work with clients and infrastructure around the world and face significant challenges ensuring they follow privacy regulations as their application data flows across borders. This post looks at how you can use Bacalhau to handle distributed cross-border processing and anonymize data with Microsoft Presidio to help meet some of these requirements.

With many applications that rely on data warehouses, you need to keep data sources in different locations. This could be due to privacy or regulatory reasons or because you want to keep processing close to the source. However, there are still times when you want to perform analysis on and across these data sources from one location but not move the data. This post uses Bacalhau to orchestrate the distributed processing and DuckDB to provide the SQL storage and querying capacity for some mock sales data based in the EU and the US.

Machine Learning requires vast amounts of resources, and distributing these resources across multiple devices and regions helps with cost, speed, and data sovereignty. Bacalhau is an open-source distributed orchestration framework designed to bring compute resources to the data where and when you want, drastically reducing latency and resource overhead. Instead of moving large datasets around networks, Bacalhau makes it easy to execute jobs close to the data’s location, reducing latency and resource overhead.