Java undoubtedly is one of the most used programming languages today. Not surprising if you yourself were trained in it. Over the years, it has gained a reputation for being both powerful and efficient. However, like any other language, Java has its share of challenges. And one of these is the problem of memory leaks, and fair enough, there are more myths surrounding it than ways to overcome it. But this blog is all about it.

Elasticity, as the term implies, is the ability for software infrastructure to stretch and shrink in line with fluctuating usage. Elasticity is important in many contexts – because usage can always fluctuate – but it’s especially important for sports, media, and entertainment apps, which frequently serve user bases that grow and shrink rapidly depending on events, trends, and breaking news.

The effects of disconnected data are many: lack of data-driven decision making, inaccurate information, and slower processes, to name just a few. When you quantify the total cost of data silos, you’ll find that organizations have a lot to lose. While many data silo statistics predict a gloomy future where organizations struggle to unite their enterprise data, new approaches to data management, like data fabric, can help.

Today we're excited to officially launch AI Explain on ThoughtSpot for Sheets, the ultimate cheat code for data literacy and exploration. AI Explain integrates Google's PaLM 2 LLM, specifically leveraging the Bison model to automatically generate the top data stories for any visualization created with our Sheets extension.

You've heard of metaprogramming: code you write that generates other code dynamically. Without it, Rails as we know it wouldn't (and couldn't) exist. But there's a good chance you've never done it yourself, and it's not hard to see why; even a brief excursion into the realm of metaprogramming can leave you beset with strange and foreign methods, unfamiliar syntax, and downright mystifying blocks of code.