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Huge amount of data is stored by different kinds of applications for further analysis. Relational databases were used for decades as data storages, but in some cases they are not suitable for Big Data processing. To solve the problem, non-relational databases were developed. As a help for transferring data from relational databases to nonrelational databases, adequate tools were developed. In this paper, a tool named Sqoop is presented. The issue of query optimization should be addressed by all applications that deal with large amounts of data, regardless of their field of application and scope. The impact of cluster characteristics on HiveQL query optimization is analyzed in this paper.

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Multimedia content distribution systems, in the first place OTT (Over-the-Top) and IPTV (Internet Protocol Television), have rapidly gained popularity with the widespread expansion of network availability. Although both types of systems employ IP networks to offer the same services, architecturally they are importantly different. There are several reasons why these systems are merging in some kind of hybrid solution, in the last few years. This paper presents an overview of GSTV-an integrated, adaptive and scalable digital multimedia content distribution system. This system is designed to overcome the deficiencies of legacy content distribution systems and to meet all important requirements and recommendations in order to be classified as a modern multimedia content distribution system. Some of the most important features of this system are: support for all IP capable devices that can display the media, support for different video resolutions/formats suitable for all supported devices, quality of service through adaptive bit-rate streaming support, advanced identity management support, and support for customization of informational and advertising messages for end users. 

The process of network convergence and the increased availability of high speed networks has opened a number of possibilities in the field of multimedia content distribution. Above all, the popularity of mobile platforms and the accompanying user mobility requires the distribution platforms to be able to respond to changing network conditions and to maintain a satisfactory quality of service regardless of client device capabilities. This paper discusses the experiences and challenges in implementing an adaptive bitrate (ABR) multimedia streaming platform for live media content. Common streaming techniques and protocols used for live streaming are described, along with the basic principles of adaptive stream selection based on available bandwidth. As a proof of concept, adaptive bitrate streaming has been successfully implemented in a Digital Multimedia Distribution system called GSTV.