We tell who Data Scientist is: what a scientist needs to know from data and how a researcher differs from an analyst. What does a Data Scientist do Like Data Analyst, a data scientist also works with information arrays by Read more…
Continuing the conversation about where to start entering big data, and what are the IT specialties, today we will tell you what exactly does a Big Data analyst, what he should know and be able to, as well as where Read more…
What the Big Data Administrator does Big Data Administrator creates and supports cluster solutions (including Apache Hadoop-based cloud platforms), including: • installation and deployment of a cluster; • selection of the initial configuration; • optimization of nodes at the kernel Read more…
What a data engineer does In order for Data Analyst and Data Scientist to extract business-useful knowledge from Big Data streams and arrays, all of this big data must be appropriately collected and stored. This is what Data Engineer does: Read more…
Professional directions in the world of Big Data The term “big data” hides many concepts: from the information arrays themselves to technologies for their collection, processing, analysis and storage. Therefore, before trying to grasp the immensity in an effort to Read more…
Image 1 The most intelligent part of the data analysis work is done in the cloud using special big Data tools combined into a common platform. Let’s talk about the features of IoT platforms and the technologies on which these Read more…
We tested where it is faster to configure data extraction from a site with importo.io or Parsers. Tested on the site that is used in the import.io video. Parsers is 7 times faster than import.io! What’s better?
IoT System Architecture Typical architecture of IoT systems consists of the following 3 levels: end devices (things, Things) – sensors, sensors, controllers and other peripheral equipment for measuring the necessary indicators and transferring this data to the network via wired Read more…
Big Data is the basis of the business of insurance companies, whose work is completely based on information: statistics, information about customers, insurance cases and the probability of their occurrence, as well as financial evaluation of all these data. As Read more…
Data integration has no place in tactical tasks Are you digitally transforming your business? You need a data integration strategy. A business that strives forward and its data needs to embrace a whole new world that is constantly changing. This Read more…