Web Engineering

Nowadays, it becomes difficult to find the right software developers, especially in the face of an ever-increasing competition. The high demand results in an ever-increasing number of platforms and services, which makes the challenge of finding the right one much harder and more time-consuming. Lemon.io and Toptal are a few recruiting platforms, which provide the possibility of working with the best and most reliable developers.In this post we’re going to look in detail at these sites, compare the features, pricing models, hiring process and test the quality of the developers provided.

The big data phenomenon is driven by the growing amount of data generated by IoT and other digitisation activities around the world. Centralised distributed stream processing engines make the clustering of this data for real-time processing possible.There many stream processing engines these days – Flink, Kafka Streams, Spark, Samza, and so forth. SQL-like syntax is most commonly used to query streams in order to make it easy to write programs that deal with errors and manipulate data (eg, KSQL and SparkSQL used from Kafka and Apache Spark respectively).Get detailed insight on Apache Spark: Spark for Data Science and Big Data ApplicationsIn this article we will look at the most well-known stream processing platforms like Apache Flink, Apache Spark, Apache Samza to name a few, however, in order to understand these platforms and how do they differ, first you need to understand what is a stream processing engine.

Hiring a Python developer can give your business an advantage in today's technology-driven world. Python is used for web development, data analysis, and artificial intelligence. Its simple and readable syntax allows for quick solution building, saving time and resources. Whether you're a startup or an established company, a Python developer can help you stay ahead in the fast-paced world of digital innovation

Revolutionizing the software development landscape, this article delves into the symbiotic relationship between Artificial Intelligence (AI) and data engineering. Unraveling the impact of AI on data engineering processes, it explores key areas such as automated data cleaning, predictive data modeling, intelligent data integration, dynamic resource allocation, and the role of AI in handling Big Data challenges.

In the elusive realms of Ukrainian tech conjurers, dive deep into the cryptic tales of five enigmatic wizards reshaping the very essence of the digital cosmos. From Max Levchin's code sorcery in Silicon Valley to Jan Kum's mystical messaging spells, each narrative unfolds an epic of innovation and digital transcendence. Nick Bilogorskyi, the vigilant guardian of digital domains, and Serhii Hryhorovych, the maestro orchestrating gaming sagas, add layers to this mystic saga.

There are three places in the universe of cloud computing: AWS, Azure and Google Cloud. AWS has more planets. Azure is the Wizard. Google Cloud is a Cosmic Sorcerer. Choose your planetary Godling wisely. We are engineering the universe. This one is ours.