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Big Data LDN

Big Data LDN 2019 | Building Predictive Maintenance Solutions for High-speed Hitachi Trains in the UK | Dr. Agne Gvozdevaite

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Big Data LDN 2019 | Building Predictive Maintenance Solutions for High-speed Hitachi Trains in the UK | Dr. Agne Gvozdevaite

There are numerous and varying definitions of DataOps, a new methodology which helps businesses effectively use their data to drive innovation and secure competitive advantage. However, no definition fails to mention the importance of metadata for the DataOps strategy - it is essential for data management, governance, and provenance. In the face of newfound necessities of edge computing, the Internet of Things (IoT), and statistical expressions of Artificial Intelligence (AI), there are shifts occurring in metadata management that require further attention. For this reason, in this session Dr. Agne Gvozdevaite will discuss the importance and best practice of DataOps metadata management for now and the future.

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dataops metadata management internet of things edge computing artificial intelligence big data

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Syllabus

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what should give you pause
and possible dealbreakers
Strong fit with learners interested in predictive maintenance solutions for high-speed trains, which is a highly relevant topic in the transportation industry
Taught by Big Data LDN, who are recognized for their work in data science and analytics, which are essential skills for professionals in the field
Develops skills in building predictive maintenance solutions, which are in high demand in the transportation industry

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Career center

Learners who complete Building Predictive Maintenance Solutions will develop knowledge and skills that may be useful to these careers:
Data Engineer
Data Engineers are professionals who design and build data systems for managing, storing, and processing large amounts of data. They perform tasks such as data extraction, transformation, and data integration to make it ready for analysis, generating valuable insights. This Building Predictive Maintenance Solutions course can provide a comprehensive understanding of data management and processing techniques, which can be beneficial for aspiring Data Engineers. By learning about data pipelines and predictive maintenance solutions, you can gain practical knowledge and skills applicable to this role.
Data Analyst
Data Analysts are professionals who analyze and interpret data to uncover valuable insights. They use statistical and analytical methods to identify patterns, trends, and anomalies in data, and then communicate their findings to stakeholders. This Building Predictive Maintenance Solutions course can be beneficial for Data Analysts, as it provides a solid foundation in data analysis techniques and predictive modeling. By learning about data preprocessing, feature engineering, and predictive maintenance, you can enhance your skills in extracting valuable insights from data.
Machine Learning Engineer
Machine Learning Engineers are professionals who specialize in the design, development, and implementation of machine learning models. They work with data scientists to identify and solve business problems by applying machine learning algorithms. This Building Predictive Maintenance Solutions course can be a valuable asset for aspiring Machine Learning Engineers, as it provides a hands-on approach to predictive maintenance using machine learning techniques. By learning about model development, evaluation, and deployment, you can gain practical experience applicable to this role.
Data Scientist
Data Scientists are professionals who use scientific methods to extract knowledge and insights from data. They have expertise in statistics, machine learning, and data analysis. This Building Predictive Maintenance Solutions course can provide a foundation for individuals interested in Data Science, as it covers data analysis, machine learning, and predictive maintenance techniques. By learning about data preprocessing, predictive modeling, and model evaluation, you can gain valuable skills for a career in Data Science.
Software Engineer
Software Engineers are professionals who design, develop, and maintain software applications. They use their knowledge of programming languages and software development methodologies to create solutions for various business needs. This Building Predictive Maintenance Solutions course may be beneficial for Software Engineers who want to specialize in developing data-driven applications. By learning about data analysis and predictive maintenance techniques, you can enhance your skills in designing and developing software solutions that leverage data for better decision-making.
Data Architect
Data Architects are professionals who design and manage the architecture of data systems. They work with stakeholders to understand data requirements, and then design and implement data storage, management, and processing solutions. This Building Predictive Maintenance Solutions course can be useful for Data Architects, as it provides insights into data management and predictive maintenance techniques. By learning about data pipelines, data quality, and data security, you can gain valuable knowledge applicable to this role.
Database Administrator
Database Administrators are professionals who manage and maintain databases. They ensure that databases are running smoothly, data is protected, and performance is optimized. This Building Predictive Maintenance Solutions course can provide valuable knowledge for Database Administrators who want to specialize in managing data for predictive maintenance purposes. By learning about data management, data security, and data recovery techniques, you can enhance your skills in ensuring the integrity and reliability of data for predictive maintenance systems.
Business Analyst
Business Analysts are professionals who analyze business processes and systems to identify inefficiencies and opportunities for improvement. They work with stakeholders to gather requirements, analyze data, and develop recommendations for improvement. This Building Predictive Maintenance Solutions course may be useful for Business Analysts who want to specialize in analyzing data for predictive maintenance purposes. By learning about data analysis, machine learning, and predictive maintenance techniques, you can enhance your skills in identifying and solving business problems related to predictive maintenance.
Project Manager
Project Managers are professionals who plan, execute, and close projects. They work with stakeholders to define project scope, develop project plans, and manage project execution. This Building Predictive Maintenance Solutions course can be beneficial for Project Managers who want to specialize in managing predictive maintenance projects. By learning about predictive maintenance techniques, data management, and project management best practices, you can enhance your skills in leading and delivering successful predictive maintenance projects.
Operations Manager
Operations Managers are professionals who oversee the day-to-day operations of an organization. They are responsible for ensuring that operations run smoothly, efficiently, and in compliance with regulations. This Building Predictive Maintenance Solutions course may be useful for Operations Managers who want to specialize in managing predictive maintenance programs. By learning about predictive maintenance techniques, data analysis, and performance optimization, you can enhance your skills in implementing and managing predictive maintenance programs that improve operational efficiency and reduce downtime.
Maintenance Technician
Maintenance Technicians are professionals who maintain and repair equipment, machinery, and facilities. They use their knowledge of mechanical, electrical, and other technical systems to troubleshoot and resolve issues. This Building Predictive Maintenance Solutions course may be useful for Maintenance Technicians who want to specialize in predictive maintenance. By learning about predictive maintenance techniques, data analysis, and condition monitoring, you can enhance your skills in identifying and resolving potential equipment failures before they occur, reducing downtime and improving maintenance efficiency.
Quality Assurance Engineer
Quality Assurance Engineers are professionals who ensure that products and services meet quality standards. They develop and implement quality assurance processes, conduct testing, and analyze data to identify and resolve quality issues. This Building Predictive Maintenance Solutions course may be useful for Quality Assurance Engineers who want to specialize in predictive maintenance. By learning about predictive maintenance techniques, data analysis, and risk assessment, you can enhance your skills in developing and implementing quality assurance processes for predictive maintenance systems.
Reliability Engineer
Reliability Engineers are professionals who analyze and improve the reliability of systems and equipment. They use their knowledge of engineering principles, data analysis, and risk assessment to identify and mitigate potential failures. This Building Predictive Maintenance Solutions course may be useful for Reliability Engineers who want to specialize in predictive maintenance. By learning about predictive maintenance techniques, data analysis, and reliability modeling, you can enhance your skills in developing and implementing reliability improvement programs for predictive maintenance systems.
Industrial Engineer
Industrial Engineers are professionals who design and improve industrial processes and systems. They use their knowledge of engineering principles, data analysis, and optimization techniques to improve efficiency and productivity. This Building Predictive Maintenance Solutions course may be useful for Industrial Engineers who want to specialize in predictive maintenance. By learning about predictive maintenance techniques, data analysis, and process optimization, you can enhance your skills in designing and implementing predictive maintenance programs that improve operational efficiency and reduce downtime.
Field Service Engineer
Field Service Engineers are professionals who provide on-site maintenance and repair services for equipment and machinery. They use their knowledge of mechanical, electrical, and other technical systems to troubleshoot and resolve issues in the field. This Building Predictive Maintenance Solutions course may be useful for Field Service Engineers who want to specialize in predictive maintenance. By learning about predictive maintenance techniques, data analysis, and remote monitoring, you can enhance your skills in identifying and resolving potential equipment failures before they occur, reducing downtime and improving customer satisfaction.

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