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Modern Enterprise Data Engineering

Big Data LDN 2019 | Modern Enterprise Data Engineering | Suki Dhupar

We envision a world where enterprise data customers readily have access to high-quality, cross-silo, unified enterprise data for all of their core logical entities. Data Operations (DataOps) is a methodology consisting of people, processes, tools, and services for enterprises to rapidly, repeatedly, and reliably deliver production-ready data from the vast array of enterprise data sources. Learn how to and why implementing these key ingredients can help a business achieve the analytic velocity necessary to create a competitive advantage.

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data engineering enterprise data data operations dataops enterprise data unification big data

What's inside

Syllabus

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Explores Modern Enterprise Data Engineering, which is standard in industry

Taught by Big Data LDN, who are recognized for their work in Big Data

Examines DataOps, which is highly relevant to Data Operations

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Career center

Learners who complete Modern Enterprise Data Engineering will develop knowledge and skills that may be useful to these careers:

Data Engineer

A Data Engineer is responsible for designing and building data pipelines that enable seamless data flow across an enterprise. The course, Modern Enterprise Data Engineering, provides a solid foundation in the principles and best practices of Data Engineering. Through hands-on exercises and real-world case studies, learners will gain the skills necessary to design, implement, and manage data pipelines that support the data-driven decision-making needs of an organization.

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Data Analyst

A Data Analyst plays a crucial role in transforming raw data into actionable insights. The course, Modern Enterprise Data Engineering, provides a comprehensive overview of the data engineering process, from data acquisition and integration to data modeling and analysis. This knowledge is invaluable for Data Analysts, enabling them to effectively collaborate with Data Engineers and leverage high-quality data for accurate and timely decision-making.

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Data Scientist

Data Scientists are responsible for developing and applying statistical and machine learning models to extract valuable insights from data. The course, Modern Enterprise Data Engineering, provides a strong foundation in data management and engineering principles, which are essential for Data Scientists to access, process, and analyze large and complex datasets effectively. This knowledge helps Data Scientists build robust models and drive data-driven decision-making.

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Data Architect

A Data Architect designs and manages the overall data architecture of an organization. The course, Modern Enterprise Data Engineering, provides a deep understanding of data engineering concepts and best practices. This knowledge is critical for Data Architects to create scalable, reliable, and efficient data infrastructures that meet the evolving needs of the business.

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Software Engineer

Software Engineers are responsible for designing, developing, and maintaining software systems. The course, Modern Enterprise Data Engineering, provides a solid foundation in data engineering principles and practices, which is highly valuable for Software Engineers working on data-intensive applications. This knowledge enables them to effectively integrate data engineering components into their software systems and ensure the efficient and reliable management of data.

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Database Administrator

Database Administrators are responsible for managing and maintaining database systems. The course, Modern Enterprise Data Engineering, provides a comprehensive overview of data engineering principles and practices, including data modeling, data storage, and data security. This knowledge is essential for Database Administrators to effectively manage and optimize database systems that support data-driven applications.

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Business Analyst

Business Analysts bridge the gap between business stakeholders and technical teams. The course, Modern Enterprise Data Engineering, provides a strong foundation in data engineering concepts and best practices. This knowledge enables Business Analysts to effectively understand and communicate data-related requirements, ensuring that data engineering solutions align with the business needs.

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Product Manager

Product Managers are responsible for the development and management of software products. The course, Modern Enterprise Data Engineering, provides a comprehensive overview of data engineering principles and practices. This knowledge is valuable for Product Managers to understand the technical aspects of data management and make informed decisions about features and functionalities related to data.

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Project Manager

Project Managers are responsible for planning, executing, and delivering projects. The course, Modern Enterprise Data Engineering, provides a solid foundation in data engineering concepts and best practices. This knowledge is beneficial for Project Managers to effectively manage data-related projects and ensure the successful implementation of data engineering solutions.

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Data Governance Specialist

Data Governance Specialists are responsible for developing and implementing data governance policies and procedures. The course, Modern Enterprise Data Engineering, provides a comprehensive overview of data engineering principles and practices, including data quality, data security, and data compliance. This knowledge is essential for Data Governance Specialists to effectively establish and enforce data governance frameworks within an organization.

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Data Privacy Analyst

Data Privacy Analysts are responsible for ensuring the privacy and security of data. The course, Modern Enterprise Data Engineering, provides a solid foundation in data engineering principles and practices, including data security, data compliance, and data anonymization. This knowledge is essential for Data Privacy Analysts to effectively identify and mitigate data privacy risks and ensure compliance with privacy regulations.

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Data Integration Specialist

Data Integration Specialists are responsible for integrating data from multiple sources into a single, cohesive dataset. The course, Modern Enterprise Data Engineering, provides a comprehensive overview of data engineering principles and practices, including data integration, data cleaning, and data transformation. This knowledge is essential for Data Integration Specialists to effectively design and implement data integration solutions that meet the needs of the organization.

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Data Warehouse Engineer

Data Warehouse Engineers are responsible for designing, building, and maintaining data warehouses. The course, Modern Enterprise Data Engineering, provides a solid foundation in data engineering principles and practices, including data modeling, data storage, and data querying. This knowledge is essential for Data Warehouse Engineers to effectively design and implement data warehouses that support the data analysis and reporting needs of the organization.

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Data Visualization Analyst

Data Visualization Analysts are responsible for creating visual representations of data to communicate insights and trends. The course, Modern Enterprise Data Engineering, provides a solid foundation in data engineering principles and practices, including data visualization and data storytelling. This knowledge is valuable for Data Visualization Analysts to effectively create visualizations that clearly and effectively communicate data-driven insights.

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Data Mining Engineer

Data Mining Engineers are responsible for developing and applying data mining techniques to extract valuable insights from data. The course, Modern Enterprise Data Engineering, provides a solid foundation in data engineering principles and practices, including data mining, machine learning, and data analysis. This knowledge is essential for Data Mining Engineers to effectively design and implement data mining solutions that uncover hidden patterns and insights within data.

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