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Internet of Things is a concept that is fast evolving. With the World getting connected via the Internet, Internet is now, a way of life. We need the Internet for all our basic needs as well, say for grocery shopping, managing bank accounts, managing travel arrangements, the list is endless. Most of the devices (“things”) that we use on a daily basis are controlled by remotes and at times by applications on our mobile devices. This has led to a “network” of its own and it is commonly called as “Internet of Things”.

Object recognition is a popular computer-vision research field that is specific to imaging applications. Think of having an image that you want to automatically recognize, basically what it depicts; flowers, cats, dogs, cars, or what else. This technology has many real world applications such as traffic-sign trackers that guide drivers, part of hand-writing recognition systems.

This article will help you explore the main functionalities of distributed file system and show how it differs from the traditional \ files systems that we currently have on our computers. Try to understand the need to have a distributed file system and how this can empower Big Data concept.

The - Create user filter - feature in Tableau desktop can be used implement row-level security to display filtered information based on logged in user authorization. This means that same Tableau dashboard will display only central region information for central region manager while the same dashboard will display eastern region information for the eastern region manager.

Tableau Cycle Fields can be used to cycle the current included dimensions in the current Tableau sheet. This is very useful when you want to see the effect of different dimension variations.

Nick Revych will explain the Gartner’s analysis of the four product leaders for the last 3 years in BI sector. The following products are included in the group of leaders : QlikView, Tableau, Microsoft for Power BI and SAP Lumira 2.x. The strengths and weaknesses of these products will be explained. Outlined the best practices, or rather, what errors should be avoided when developing business analysis on these applications, based on the software architectural pattern MVC (Model, View, Controller).

The beginning of Apache Hadoop cropped up in 2003. Distributed applications that process extremely massive amount of data is developed and carried out by Hadoop. It stores data as well as runs applications on clusters of commodity hardware and gives huge storage for any sort of data, great power of processing plus the capacity to deal with virtually unlimited simultaneous tasks or jobs. Further, it was planned to step up from solo servers to thousands of machines where every single machine will offer local computation and space. And, instead of depending on hardware to give great level of accessibility, the Apache Hadoop software library is aimed to identify and deal with failures at the application layer.

This article is an introduction to Hadoop. It will help you know more about Hadoop and what is actually is. The article will delve a bit into the history and different versions of Hadoop. For the un-initiated, it will also look at high level architecture of Hadoop and its different modules.

Big data is an evolving topic. The new technology is not suitable for standard simple relational databases, but it is used for collecting, storing and processing large amounts of data. Correct implementation of Big Data technologies can benefit various organizations to analyze their data and improve business decisions.

Mindtory offers a set of high quality SAP BusinessObjects Training courses on Udemy with special prices for all subscribers. Currently, we have four SAP BusinessObjects Training courses supported with training materials and quizzes that covers SAP BusinessObjects main modules. You can also follow our YouTube channel and enjoy our exclusive videos and free materials to get an idea about what you expect after purchasing our courses.