Monthly Data News 2020 (2 Part Series)
Each month, I'll be showcasing some of the great posts, projects and news on all things data from around the internet. Some may be "new news", some may be new to me. In any case, grab a coffee or a tea and have a read of these Data Science and Data Engineering stories.
sign up here
This article discusses your company’s readiness for AI, Data Science and all things related.
For nearly a decade, Hadoop was the poster child for “big data.” However, looking back with 20/20 hindsight, it seems clear that Hadoop was never going to live up to its lofty expectations.
Visualisation is a relatively new field, but we seem to be developing an understanding of what it is and what it can be used for.
Text analytics has been the biggest use case for NLP, but now BI and analytics vendors are adding it to their products to make them easier to use.
So, what’s the point? This seemed like a great opportunity to demonstrate the predictive power of mathematics.
Here are some of the most important stories we’ve covered in Datanami for the year, in reverse chronological order.
Sharded databases have been receiving lots of attention in recent years, but many don't have a clear understanding of what they are or the scenarios in which it might make sense to shard a database.
In an effort to make my team write better SQL, I went over reports written by non-developers and code reviews, and gathered common mistakes and missed optimisation opportunities in SQL.
Amidst this hype and the fear of being left behind, how would you embark upon an AI strategy in your company?
Investors and clients are asking about machine learning (or worse, deep learning). The question is no longer why, but when.
That wraps up the news for this month, if you would prefer to receive this monthly update as an email you can sign up here.
Photo by: Matthew Henry