Segmented advertising and facial recognition, together with Big Data, could have started a well-matched marriage. To find an example, we travel to Japan, where taxis already use this technological alliance.
A group of well-known multinational companies from the oil and gas industry partnered to create a blockchain consortium in the United States. This was reported on February 26 through a press release.
The Japanese company Kyocera, manufacturer of modules that generate electricity through solar energy and storage, has partnered with LO3 Energy, with which it intends to test the virtual power plants (VPP) based on the Blockchain, in order to improve the energy distribution, according to a press release published on February 25.
Swiss asset management firm Credit Suisse Asset Management and Portuguese financial institution Best Bank successfully processed the cross-border distribution of an end-to-end live investment fund based on Blockchain technology.
On February 14, Baidu announced the launch of the Baidu Blockchain Engine (BBE) platform, an operating system designed to allow developers to create and produce blockchain applications by simplifying the commercial deployment of decentralized applications.
The digital transformation is evident, since it is in all areas, in all parts. Therefore, BIM (Building Information Modeling) and the Big Data tool are essential to optimize construction standards, as the real estate sector is one of the least digitized sectors and still has a long way to go.
One of the key profiles in the companies’ templates and one of those that has become crucial is the data scientist.
In the list of obsessions of those responsible for marketing, data management occupy a fairly prominent position.
In the era of Big Data it very important to be trained in the technical area and in the entrepreneurial aspect. It consists in knowing how to choose the appropriate profiles when one has the responsibility to do it and in how to direct them.
There are numerous professional profiles linked to new technologies such as fields linked to Big Data, the development of apps, augmented reality, cybersecurity or cloud-computing, which is the specific case that we are going to analyze in this post.
Converting a store into a smart retail simply means using technology and Big Data to measure and sell more in omnichannel. Do you want to know how?
Although the main objective of the companies is the optimal functioning of these, currently, Business Intelligence (BI), has been developed significantly in order to enhance this as a primary objective.
A database manager is an important part of the IT infrastructure of many organizations.
Data that the company owns is one of the most valuable assets available. Specifically, these data and the ability to generate useful business information for decision making is, in the end, the true value.
The Big Data has shaken the panorama of the databases. Big data implies having to work with distributed databases and with this scenario, obtaining a complete and reliable copy of several petabytes of data does not seem like something simple.
Multidimensional databases are generally used to create OLAP applications. They are made up of several tables of facts and dimensions. In this way, each dimension table contains a simple primary key that in turn composes the primary key of the fact table.
Cubes, dimensions and hierarchies are the essence of OLAP’s multidimensional navigation. By describing and representing information in this way, users can intuitively navigate a complex set of data.
OLAP is the acronym of Online Analytical Processing. It is a solution used in the field of the so-called business intelligence whose objective is to speed up the consultation of large amounts of data. It uses multidimensional structures (or OLAP cubes) that contain summarized data from large databases or Transactional Systems (OLTP).