With modern industrial facilities producing a terabyte or more of data every day, many manufacturers are finding that access alone does not make data usable. AI and ML technologies and real-time dashboards should be delivering significant productivity increases, but for many, the challenges of getting these applications the right data in the right format at the right time proves to be too resource and time intensive.
To extract value from industrial data, it must be made fit for purpose with scalability in mind. This workbook serves as a practical, 10-step guide to help manufacturing and industrial leaders better understand and apply proven data engineering processes and technologies to make their data fit for purpose.
Inside you will find:
