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SPARK + AI SUMMIT 2019: Key Annoucements

Spark AI Summit 2019 hosted a vibrant community of users and developers of Machine Learning solutions. Talks were well-differentiated for level of technicality so that every participant could find ...

Data Mining Methodology

We adopt an Aglie methodology for the carrying out of data mining projects based on the CRISP-DM model. CRISP-DM, which stands for “Cross Industry Standard Process for Data Mining” is a ...

Business Intelligence for Banking and Financial Sectors

Business Intelligence is fundamental for banking and financial sectors. The banking industry is becoming ever-more competitive, and subject to new regulations. Moreover, there are new and growing ...

The advantages of Business Intelligence

The main advantage of Business Intelligence resides in an improvement of business performance. The following table shows the benefits that come from a BI system, connecting them to their final goal ...

Purposes of Big Data analysis

Why do you need Big Data Analysis? Big data analysis has many purposes and goals, which can be summarized under three headings: Business: big data provide the ability to pursue new business models ...

Big Data Features

Describing the 3Vs of Big Data Big data is available in large volumes, it has unstructured formats and heterogeneous features, and are often produced in extreme speed: factors that identify them ...

Business Intelligence Methodology

The methodology that we use in the implementation of Business Intelligence projects is based on an agile approach that can minimize the costs and “time to market”. The cornerstones of ...

From predictive analytics to prescriptive analytics

In the article “From business intelligence to predictive analytics systems” we talked of the evolution of the data analysis processes, describing an evolutionary path that led from performing ...

Polybase in SQL Server 2016 CTP2

One of the new features in SQL Server 2016 is Polybase, the engine that provides access to Hadoop through T-SQL commands. ...

New modules in Azure Machine Learning

Some new modules have recently been introduced in Azure Machine Learning, thus extending its features. ...

Clustering Techniques

Clustering is a set of methods to group objects into homogeneous classes. A cluster is a set of objects that have similarities among them and that have dissimilarities with objects in other clusters. ...

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