In 2022, businesses and other organizations face any number of operational challenges. From choosing the right type of business contract to implementing more effective remote working protocols, there’s a lot to think about. But perhaps the most … Read more
Big Data Analyst is specialized in collecting and processing big data to get useful information for the business and the various business units.
The skills required to a Big Data Analyst include 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.
This information can be used to analyze the market situation, the competitors and the customer's behavior, and is useful for marketing professionals and for those who are responsible for customer experience strategies.
Big Data Analysts are highly skilled in using data analysis software, a series of tools to store and analyze Big Data, so s/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.
Introduction MSC's core business relies heavily on data that describes every single event related to shipping, vessels, and containers. This data needs to be shared quickly and efficiently with other systems that have a similar near-live time flow … Read more
The amount of data companies need to process has been increasing steadily over the years, and this has created an issue known as big data. Recently, lots of services and analytical applications that are based on big data have emerged. Since users … Read more
One of the most significant parts of any data-driven application is data quality assessment. Before you start using your data, you must understand how good - or bad - it is. This is why data analysis and data cleaning activities are performed - … Read more
Data is an essential part of data analytics, data security, and data science. That’s obvious. Sometimes, however, that data can get a little dirty. No, not like in a gangster film. More like where suddenly we are having to deal with ‘dirty data’ … Read more
Earning revenue through big data is a fast-growing industry that all businesses need to be a part of. With more than 2.5 quintillion bytes of data created every day, a good data monetization strategy is crucial for any business, including those … Read more
With every second we spend online, mountains of data is generated. For every social media post, Google search, and link clicked, there is a way in which our activity can be collected for data. Experts within the data science field can utilize this, … Read more
So you’ve been out, you’ve conducted the surveys, you’ve collected a giant pot of data that unequivocally demonstrates your position and now it’s time to present. How do you do it? Well you could just dump the raw spreadsheet at the desk of your … Read more
Data analysts manipulate data and use it to help organisations make wise business decisions. They gather information from the data regarding specific aspects, interpret, analyse and share their findings with other stakeholders in the organisation … Read more
Not all data scientists have a computer science background - I received my bachelor’s degree in Statistics, for example. As I moved into data, I noticed that I was good at scripting, but was not able to create a ‘production-quality’ code. A … Read more
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
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
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