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Big Data is invariably complex and the amount of data is increasing exponentially. It’s important that companies go through a series of checkpoints to overcome today’s challenges around unstructure…

What will you learn: – Key Insights on Existing Big Data Architecture – Unique Security Risks and Vulnerabilities of Big Data Technologies – Top 5 Solutions to mitigate these security challenges.
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Innovyze SCADAWatch and infraMAP Connect to Power Field Staff with Real …
This new reciprocal data interoperability leverages the strengths of both technologies to bring real-time SCADA and operational network data to field staff during routine maintenance activities. The move opens a new frontier in decision analytics for …
Read more on GISuser.com (press release)

Software AG and Mosaic Data Science Partner to Create Real–time Predictive …
Fortunately, as the cost of sensors decreased, their use increased, leading to a profusion of real-time data. With the help of real-time connectivity and analytics, users are now able to collect, analyze and react to information and perform maintenance …
Read more on Business Wire (press release)

Argyle Data and Gigamon to Deliver Real–Time Fraud Detection and Analytics …
BARCELONA, Mobile World Congress, (March 3, 2015) – Gigamon Inc. (NYSE: GIMO), the leader in traffic visibility solutions with its innovative Unified Visibility Fabric™, and Argyle Data, the leader in real-time fraud detection and analytics for data …
Read more on Telecom Reseller (press release)

The LivePerson platform enables over 8500 global businesses to intelligently engage with more than 450 million users a month. In order to get to this scale,…
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Presentation control protocol, commonly known as Real Time Streaming Protocol (RTSP), is a standard protocol widely used for efficiently controlling the streaming of audio and video data over the internet. The protocol is developed by Multiparty Multimedia Session Control Working Group (MMUSIC WG), also a joint venture work of RealNetworks, Netscape Communications and Columbia University during 1990s.

Unlike the traditional HTTP which uses progressive technique, real-time streaming protocol delivers continuous streams of requested data without actually storing it on the hard disk, the technique known as real-time streaming, thus acts like a remote control enabling the flow on demand. The protocol is used in applications such as Windows Media Player, QuickTime, RealPlayer, MPEG4IP, JavaFX SDK for Windows platform, Skype, for uni-cast streaming (where data transfer occurs between one client and one server) and multi-cast streaming( between one server and multiple clients).

Real-time streaming protocol uses a combination of protocols such as TCP (connection based protocol), UDP (connectionless protocol), and RTP to achieve various functions by maintaining session/state between server and client through an identifier. In other words, the RTSP server and client can send requests simultaneously by choosing the appropriate delivery mechanism, an advantage over other protocol types.

The session begins with Setup from the client or already defined transport information that indicates the server to allocate resource for data stream, Play, where the data is transmitted according to the request from client, Pause, in which the streaming is temporarily disabled without actually disconnecting the server, Record, where the streaming data is recorded by the client as per the time-stamp carrying the information of start and end time, and Close, where the resources are freed and the client-server session comes to an end.

The other advantage of RTSP is, it is extendable, in the sense new features, parameters and methods can be easily added while coding and/or can include features from other protocols like HTTP, TCP etc. The RTSP provides secure and reliable connection by letting the end user choose the appropriate authentication type.

Since the data can arrive from various servers, this type of protocol is generally prescribed for professional presentations. Also, the client can identify which features are enabled and which are not, in the requested server, making that information available for other purposes.

RTSP uses the standard ISO 10646 UTF-8 encoding (hence called a text based protocol) where each lines are terminated by CRLF, which is then interpreted by the receiver on the other end. Due to this nature of the protocol, it is extensively implemented for scripting languages like Perl and VB. The RTSP is a proposed standard in its preliminary stage and hence some RTSP servers use RTP as the transport protocol and others RDP for the audio/video stream.

All data types are not supported by this type of connection and RTSP option is not recommended for those who do not want to compromise on video quality. The real time streaming protocol is vulnerable to packet loss, transmission delay, congestion and other jitters, just like any other communication protocols, but can prove to be advantageous in many instances such as a conference which could be viewable to many people at once regardless of location.

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Most popular Real time Data Analytics and Data Visualization eBay auctions:

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Foster City, CA (PRWEB) March 26, 2012

Data is only valuable to a company if it can be acted on. The faster organizations are able to move from gathering to acting, the bigger the strategic advantage. Corporate IT departments are feeling the pressure as the push to use big data grows and corporate SLAs become increasingly demanding due to the globalization and consumerization of enterprise IT. In order to meet this demand for action, companies need to make sure they are addressing the Velocity aspect of Big Data solutions, rather than just Variety and Volume.

GridGain (http://www.gridgain.com), the Java-based open source middleware platform for real time big data processing, is announcing the availability of GridGain 4.0. GridGain software addresses Velocity as well as Volume and Variety by processing live data using their unique integration of highly scalable compute and in-memory data grid technologies. Unlike complex, decade-old SQL, ERP or Hadoop ETL systems that use dead data for batch offline processing, GridGain 4.0 allows businesses to harness live data for smarter, low latency real time transactional and analytical processing.

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