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    Big data can come with big challenges, but with the right tools you can overcome them!

    Dananami said, "One key factor as to why Industry 4.0 big data is generally not leveraged strategically is poor interoperability across incompatible technologies, systems, and data types; a second key factor is the inability of conventional IT systems to store, manipulate, and govern such huge volumes of diverse data being generated at high velocity."

    To overcome this, work with professionals that know this technology inside and out. By making your big data actionable and easy to understand, you can utilize it efficiently! 

    Recommended ReadBig Data Challenges of Industry 4.0Source: http://www.datanami.com

    What follows are some selected real-life examples of how the Industry 4.0 big data vision can bring measurable value to manufacturers: With the rapid spread of IoT and other sensors, the volume and velocity of data are only going to grow—in general, and in the industrial manufacturing sector as well.Just as other sectors have embraced cutting-edge technologies in order to extract value from big data (edge computing, fog computing, cloud computing, and so on), Industry 4.0 is paving the way for widespread big data analytics.Read More

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