A functional first-level framework to provide a service to users as an app. Let’s see the case for seismic data from both Italy-based and US-based open data collections. We are living in a highly vibrating world. The knowledge of many vibrations can … Read more
Big Data Analyst
The Big Data Analyst is specialized in collecting and processing the big data to get useful information for the business and the various business units.
The skills required to a Big Data Analyst include the knowledge in using database querying languages and big data analytics software, and a good understanding of data mining and
extraction techniques, to provide companies with useful information.
These information can be used to analyze the market situation, the competitors and the customer's behavior, and are useful for marketing professionals and for who is responsible for customer experience strategies.
The Big Data Analyst is highly skilled in using data analysis software, a series of tools to store and analyze Big Data, so he's able to get and provide information to improve the activity of his company.
Find job offers in Job Search for Big Data Analyst.
Humans are capable of walking on the moon. We can operate an International Space Station, and sending rovers onto the surface of Mars. We can launch hundreds of satellites into the unknown to gather data. We explore the universe, both personally and … Read more
Technologies behind databases have never been so variegated as today. After the rise of relational SQL-based databases, new needs have emerged, with the consequences of fostering a plethora of new database models, e.g. the NoSQL ones. Today, new … Read more
Interview with FERDINANDO GORGA About the Talk "Function, API Economy and Secure Gateway of IBM Cloud" Presented to the IBM Cloud Italia community On 22/01/2018 Hi Ferdinando, tell us about yourself! I'm a computer scientist, it's always been my … Read more
This article is an overview of GIS applied to the 3D field. GIS involves a lot of knowledge from different disciplines. As developers we have a lot of ways to use and combine these data sources. Sometimes I feel GIS is not so commonly known among … Read more
We often talk about cloud computing, artificial intelligence and machine learning, but just as frequently we forget all the software architecture that is behind these projects and how the data is treated, manipulated and managed. The databases are in … Read more
Starting to work in the processing of big data could be unsettling even for a developer who has solid foundations and experience in areas more related to "consumer" products. The software tools and computational systems for data science, in fact, … Read more
Imagine you are in the monitoring and control room of your city, where all relevant data coming from sensors, mobile devices, social media streams, IoT devices, vehicles and so on are displayed on multifunctional dashboards. Imagine you can read on … Read more
During the last decade, application development has extended its borders far and beyond the classical web application paradigm. In particular, two main tendencies arose, namely Cloud Computing and the Internet of Things. Delivering applications on … Read more
The SELECT for Cities project was conceived as a competition between companies operating in the Smart Cities sector and the Internet of Things (IoT), with the aim of identifying innovative solutions to specific problems in European cities. This is a … Read more
Integrated platforms and frameworks are the standard solution to the development, test and deployment of applications within complex environments: for example, no one today would program from scratch a neural network while there are plenty of … Read more
Interoperability is such a crucial term when your mind gets enlightened with your smartest idea. You start thinking how to make it work and the more advanced and complex your project, the more you start realising that problems should be tackled one … Read more
It is commonly understood that we are living in a “data era”: in the past we had the “commodity era”, when raw materials were the basis of economies and the only goods to be commercialized, next the “energy era”, when industrial productions emerged … Read more
As we know from the article on sentient cities, Snap4City is an open-source, standard-based, data-driven, service-oriented and user-centric platform, enabling large-scale co-creation of applications and IoT/IoE services. As the name suggests, it … Read more
A sentient city knows what it has and makes decisions based on current, accurate and shared information. In the smart city, databases become real sensors, able to detect daily variations in the life of buildings, citizens, companies, … Read more
Snap4City is a open source, 100% flexible living lab capable to keep under control the real time city evolution: reading sensors; computing and controlling key performance indicators, KPI; detecting unexpected evolutions; performing analytics; taking … Read more
The world is quickly becoming always more connected, day after day. The population is fast getting more urbanized: according to the United Nations, about 70% of the global population will live in cities by 2050, cities that use a different kind of … Read more
Stefano Pampaloni shared with us his opinion on Big Data Stream Analytics. Hello Stefano. First of all, tell us a little bit about yourself! I'm the sole administrator of Seacom, a company based in the technological centre of Navacchio near … Read more
Kai Wähner works as a Technology Evangelist at Confluent, a Silicon Valley startup working closely with the Apache community to improve the project Kafka, a streaming platform to build highly scalable, mission-critical infrastructures. His main area … Read more