This guest blog is from Fuzzy Logix, a new partner of Hortonworks. Michael Upchurch, Co-founder & COO at Fuzzy Logix, describes the challenges the Manufacturing industry is faced with, use cases and benefits of analyzing data in place with solutions from Fuzzy Logix and Hortonworks.
Manufacturers are on the forefront of re-imagining how Big Data can redefine industry economics. In recent years manufacturing Big Data volumes have exploded, arising from sensors on machines and assets, in addition to real-time data from logistics, sales and marketing systems. This data can amount to hundreds of terabytes of data that can transform manufacturing and supply chain operations.
While Big Data provides great benefits, it can also introduce significant challenges. For example, when performing analysis on these huge data sets, traditional reporting and BI solutions often require moving terabytes of information from where it was stored to the analytics application itself. This creates significant challenges. First, large volumes of data must be moved across precious network resources and, perhaps more challenging, enterprises must now store and manage duplicate sets data, requiring considerable additional security and administrative processes to manage two separate environments.
However, what if you could perform your analysis where the data is located, and not move it all? The good news is that this is possible – using proven technology from Hortonworks and Fuzzy Logix.
Hortonworks open data platforms allow companies to store massive amounts of data. As the industry leader in providing solutions that blend the best of both open source and partner applications, Hortonworks provides state of the art capabilities to manage the data associated with real-world Big Data initiatives. In addition, as a certified Hortonworks partner, Fuzzy Logix provides a library of hundreds of parallelized high-performance algorithms that simply installed into existing Hadoop nodes. In effect, our software becomes part of the operating system; just as native functions work within traditional databases. To access the models, you simply write SQL and viola – you are analysing your data on-demand – without moving it and with no additional hardware, network or infrastructure cost.
What happens when you analyse data without moving it? A few key benefits emerge:
What kinds of things are companies achieving using high-performance Fuzzy Logix models running on Hortonworks solutions?
The above case studies represent just a few examples of how analytics can be leveraged to reduce manufacturing costs and drive revenue optimization processes. Should you be interested in investigating solutions to challenges occurring within your company, please contact us. We would be happy to discuss your issues in detail or conduct a ½ day analytics workshop to help you understand how to get the best value from running Fuzzy Logix analytics on Hortonworks. We can also provide our software to you for testing, providing you the ability to see results for yourself, using your very own systems and data.
We will also be at DataWorks Summit in San Jose (Booth E3) from June 13 – 15. Please click here.
to schedule an appointment.
Fuzzy Logix Webpage on Hortonworks
Michael Upchurch, Title: Co-founder & COO at Fuzzy Logix @wmupchurch
Utsav Datta, Alliances Manager, International at Fuzzy Logix @utsav_rd
Michael Ger, GM, Industrial Manufacturing and Automotive Solutions @MichaelGer1