Do Progressive Web Apps live up to the hype? What went down at the Amazon Cloud Conference? How will data power machine learning? Read on to find out!
Progressive Web Applications are the shiny new toy in web development, but do they live up to the hype? Do they really provide enhanced functionality and performance? Thankfully, some companies have decided to share their experiences, so dive deep into this performance case study from Pinterest.
Every year, Amazon holds a big conference for customers of its Amazon Web Services (AWS) cloud division in Las Vegas. This year the event started on November 27 and announced many new cloud services in both the data management and analytics areas, such as AWS SageMaker (a machine learning service) or AWS Neptune (a cloud-based graph database). Read about all the announced services on the official AWS website and blog to get more details on what’s new and what’s coming to Amazon’s public cloud.
What powers machine learning? What is the oil that machine learning engines run on? The answer is simple – it’s all about data. The more data, the better the data, the more innovation is possible. Great data beats great algorithms. Great innovations will come from machine learning that mines great data. All innovators have access to truth about the world – the barrier is not access to the past, but imagination about the future. Read this article to find out how open data could make innovation the key to success on the data science field of battle.