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Home » AI/ML » Big Data

Big Data

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.

Population Shift Analysis How to Monitor Data Quality with Popmon

Last update May 17, 2021 by Vito Gentile

Population Shift Analysis: Monitoring Data Quality with Popmon

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

Last update December 31, 2020 by John Allen

8 Techniques for Efficient Data Cleaning

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

Last update December 30, 2020 by Elea Andrea Almazora

5 Ways To Grow Your Business Through Data Monetization

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

data scientist

Last update December 4, 2020 by Richard Conn

7 Key Differences Between Data Analytics and Data Mining

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

data visualization

Last update November 27, 2020 by John Allen

5 Rules of Engagement When it Comes to Data Visualization

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 analyst

Last update October 20, 2020 by Lorenzo Ermigiotti

What Are the Main Areas of Development for a Data Analyst’s Career?

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

logging python

Last update July 2, 2020 by Riccardo Menoli

Logging in Python: a broad, gentle introduction

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

Last update December 20, 2019 by Leo Sorge

Vibrational energy: big data and small devices

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

Exploring the universe with project HelloExoWorld

Last update December 13, 2019 by Piero Savastano

Exploring the universe with project HelloExoWorld

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

NewSQL: overcoming limitations of relational and NoSQL databases

Last update December 2, 2019 by Vito Gentile

NewSQL: overcoming limitations of relational and NoSQL databases

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

Last update April 24, 2019 by Jorge Barrachina

Maps in a 3D world

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

Last update March 21, 2019 by Claudio Davide Ferrara

Light up the Spark in catalyst by avoiding UDF

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

Last update March 18, 2019 by Luca Ferretti

Effective Spark for Neophytes

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

Last update March 14, 2019 by Luca Ferretti

Data Gathering and Knowledge Management for Smart Cities in Snap4City Platform

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

Last update March 13, 2019 by Paolo Caressa

IOT Development: the Snap4City way

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

Last update February 17, 2019 by Mara Marzocchi

SELECT for Cities contest: solve challenges and create value for citizens

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

Last update February 16, 2019 by Paolo Caressa

The Snap4City API: a tool for smart city developers

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

Last update February 16, 2019 by Albenzio Cirillo

How Snap4City can bring your vision of a Smart City to reality

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

Last update February 12, 2019 by Paolo Caressa

The integration between data and devices: the Snap4City solution

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

Last update February 10, 2019 by Mara Marzocchi

Snap4City Dashboards: Overlook Your City

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

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