GUEST OPINION: Data pipelines are the lifeblood of the modern enterprise. Efficient data pipelines can be the difference between an architecture that delivers real value to the business or one that becomes a burden. Enterprises receive data 24 hours a day, seven days a week, from the web, enterprise applications, and mobile and IoT devices. Data engineers must collect, transform, and deliver data to different lines of business, while keeping up with the latest technology innovations to stay ahead of business demands. However, traditional legacy architectures create challenges every step of the way, making the task of the data engineer more complex.
It’s 2022 and if you’re looking to learn a new programming language, DevOps tool, public cloud, or infrastructure items, the big question is which one to go for? Here are iTWire’s picks on where to invest your time and energy.
Forget the data warehouse and the data lake – a lakehouse makes your data more manageable and more usable.
BlackBerry’s Research and Intelligence has released its "Old Dogs New Tricks" research paper which examines how threat actors are sneakily leveraging new and uncommon programming languages to evade detection and hinder threat analysis.
The link to Vodafone in the article links to the Vodafone group website in the UK, not the Australian site.[…]
Just for a start the removal of copper from the system will mean that the NBN will be a better[…]
Linux is becoming worse than Windows. :-(
I have. https://itwire.com/opin...
Instead of complaining about it, do something - use Linux, or better still, a Mac. Microsoft is dead to me,[…]