ig Data. Two words that tend to be rather divisive. Depending on which side of the fence you’re on, you might well have your ear constantly to the ground, in order to know exactly where Big Data is heading in the coming year.
Looking into the crystal ball, there are a few interesting Big Data trends to watch out for in the coming year:
- Big data shifts to wide data by tying together disparate data sets.
- Data synthesis and data analysis come together to form data competence.
- Self-service analytics offered to consumers.
- Algorithms will be used to support analytical systems to identify data patterns.
- Improved speech processing for better interaction with users.
- Machine learning will be used to country email list create Intelligent metadata catalogs.
- Big data will be heavily employed by climate researchers.
- Real-time data analysis will become crucial for certain sectors.
Those are some seriously key trends for the future, some of which might well change the very foundation of how businesses function. But there’s another trend, helping enterprise businesses to better leverage big data. That trend involves Python.
That’s right, the programming language used for web apps and general web development has become the darling of big data. But why? What makes Python so good for Big Data? Let’s take a look.
Ease of use
First off, Python is one of the easiest languages to learn and use. Because of this, you’ll find the barrier to entry to be quite low. In other words, your developer teams aren’t going to spend an inordinate amount of time getting up to speed with a new language, just so your business can take advantage of Big Data.
What makes Python so easy to use? Unlike we recommend: 10 business leadership books that every manager should read . many other programming languages, Python focuses on using the English language to create a simple, user-friendly syntax that doesn’t require users to fully understand how software engineering works. It also helps that Python doesn’t require a compiler. In fact, with Python, you write and run the code.
Python is also supported on nearly every major platform on the market, which means you can write Python code and scripts from and for nearly any device.
Open-source
Python is an open-source language. What marketing list does that mean? To be open-source means the code is available for anyone to not only see but change and distribute. Why is that important to big data? The reason is the same that so many enterprise users have adopted open-source software to help power their pipelines. Being open-source means it’s exponentially easier for businesses to integrate into the software and systems they already use.
That is a key element with Big Data, as tools like NoSQL databases must be able to be integrated seamlessly into other software. Due to Python being open-source, that’s not only possible, but it’s also easy.
