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Quick and Easy Access to Data through a Logical Data Warehouse Environment

Big Data LDN

Big Data LDN 2019 | Quick and Easy Access to Data through a Logical Data Warehouse Environment | Sylvain Dutilh

Landsbankinn is the leading bank in Iceland because of its unified team, solid infrastructure, satisfied customers, and the benefits it provides to society and the Bank's owners. In order to maintain and improve its position, it needs fast access to unified data and the ability to quickly deliver the resulting insights to its business consumers. What role does the logical data warehouse architecture and data virtualization play in this and how does it work in practise?

This course is no longer available. Find a similar course by searching these:
landsbankinn logical data warehouse data virtualization data insights data warehouse environment big data

What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Explores the advantages of employing a logical data warehouse architecture for achieving fast access to unified data, which is vital for the banking sector
Examines real-world implementation and benefits of data virtualization in the banking industry, providing practical insights
Delves into the key principles and practices of data virtualization, empowering learners to make informed decisions about its application
Led by industry expert Sylvain Dutilh, who possesses extensive knowledge and experience in data virtualization
Provides a practical understanding of how data virtualization can enhance data accessibility and drive business insights
Emphasizes the strategic importance of data virtualization for organizations seeking to leverage their data effectively

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Career center

Learners who complete Quick and Easy Access to Data through a Logical Data Warehouse Environment will develop knowledge and skills that may be useful to these careers:
Data Warehouse Architect
A Data Warehouse Architect is responsible for designing and implementing the logical data warehouse architecture of an organization. This course may be useful for learning about the concepts and techniques used in logical data warehouse design and implementation. It may also be helpful for gaining an understanding of the role of data virtualization in providing fast access to unified data.
See salaries and explore the career path for Data Warehouse Architect
Data Engineer
A Data Engineer is responsible for designing, building, and maintaining the data infrastructure that supports an organization's data warehouse. This course may be useful for learning about the concepts and techniques used in data engineering. It may also be helpful for gaining an understanding of the role of data virtualization in providing fast access to unified data.
See salaries and explore the career path for Data Engineer
Data Analyst
A Data Analyst is responsible for analyzing data to identify trends and patterns. This course may be useful for learning about the concepts and techniques used in data analysis. It may also be helpful for gaining an understanding of the role of data virtualization in providing fast access to unified data.
See salaries and explore the career path for Data Analyst
Business Intelligence Analyst
A Business Intelligence Analyst is responsible for using data to provide insights to business decision-makers. This course may be useful for learning about the concepts and techniques used in business intelligence. It may also be helpful for gaining an understanding of the role of data virtualization in providing fast access to unified data.
See salaries and explore the career path for Business Intelligence Analyst
Data Scientist
A Data Scientist is responsible for using data to build predictive models. This course may be useful for learning about the concepts and techniques used in data science. It may also be helpful for gaining an understanding of the role of data virtualization in providing fast access to unified data.
See salaries and explore the career path for Data Scientist
Database Administrator
A Database Administrator is responsible for managing and maintaining the databases that support an organization's data warehouse. This course may be useful for learning about the concepts and techniques used in database administration. It may also be helpful for gaining an understanding of the role of data virtualization in providing fast access to unified data.
See salaries and explore the career path for Database Administrator
Information Architect
An Information Architect is responsible for designing and organizing the information resources of an organization. This course may be useful for learning about the concepts and techniques used in information architecture. It may also be helpful for gaining an understanding of the role of data virtualization in providing fast access to unified data.
See salaries and explore the career path for Information Architect
Knowledge Manager
A Knowledge Manager is responsible for managing and disseminating the knowledge of an organization. This course may be useful for learning about the concepts and techniques used in knowledge management. It may also be helpful for gaining an understanding of the role of data virtualization in providing fast access to unified data.
See salaries and explore the career path for Knowledge Manager
Data Governance Manager
A Data Governance Manager is responsible for developing and implementing an organization's data governance policies and procedures. This course may be useful for learning about the concepts and techniques used in data governance. It may also be helpful for gaining an understanding of the role of data virtualization in providing fast access to unified data.
See salaries and explore the career path for Data Governance Manager
Chief Data Officer
A Chief Data Officer is responsible for overseeing an organization's data strategy and operations. This course may be useful for learning about the concepts and techniques used in data management. It may also be helpful for gaining an understanding of the role of data virtualization in providing fast access to unified data.
See salaries and explore the career path for Chief Data Officer
Data Privacy Officer
A Data Privacy Officer is responsible for ensuring that an organization complies with data privacy laws and regulations. This course may be useful for learning about the concepts and techniques used in data privacy. It may also be helpful for gaining an understanding of the role of data virtualization in providing fast access to unified data.
See salaries and explore the career path for Data Privacy Officer
Data Security Officer
A Data Security Officer is responsible for ensuring that an organization's data is secure from unauthorized access and use. This course may be useful for learning about the concepts and techniques used in data security. It may also be helpful for gaining an understanding of the role of data virtualization in providing fast access to unified data.
See salaries and explore the career path for Data Security Officer
Data Integration Specialist
A Data Integration Specialist is responsible for integrating data from multiple sources into a single, unified data warehouse. This course may be useful for learning about the concepts and techniques used in data integration. It may also be helpful for gaining an understanding of the role of data virtualization in providing fast access to unified data.
See salaries and explore the career path for Data Integration Specialist
Data Quality Analyst
A Data Quality Analyst is responsible for ensuring that an organization's data is accurate and complete. This course may be useful for learning about the concepts and techniques used in data quality analysis. It may also be helpful for gaining an understanding of the role of data virtualization in providing fast access to unified data.
See salaries and explore the career path for Data Quality Analyst
Data Visualization Specialist
A Data Visualization Specialist is responsible for creating visual representations of data. This course may be useful for learning about the concepts and techniques used in data visualization. It may also be helpful for gaining an understanding of the role of data virtualization in providing fast access to unified data.
See salaries and explore the career path for Data Visualization Specialist

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Course image
Time
23 hours
Level
Intermediate
Via
Pluralsight
Instructor
Big Data LDN
Language
English
This course belongs to a collection called Big Data LDN 2019 . It's comprised of 101 courses:
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  5. Data Skills: How Mondi Does Digital
  6. Building a Modern Data Architecture for the Data Driven Enterprise
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  10. The Promise of Data Mastering at Scale
  11. Research vs. Reality in AI: Would You Trust Your Model with Your Life?
  12. Modernise Your IT Infrastructure for AI
  13. Scaling Machine Learning at Holiday Extras
  14. Why Do Some Machine Learning Models Fail?
  15. AI: Lessons Learned from the Front Line
  16. Machine Learning in Real-time: Predicting Taxi Fare in NYC
  17. How AI and Automated Machine Learning Will Disrupt the Organisational Alignment of Businesses
  18. Multi-model Powered Machine Learning
  19. ML in Production: Serverless and Painless
  20. Leveraging Data Virtualization to Maximize Advanced Analytics and Machine Learning Potential in Your Data Architecture
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  23. Balancing Performance, Scalability, and High Availability in Your Database Environment
  24. Enabling Microservices for Big Data On-demand in the Cloud
  25. From ETL to ELT: Building a Scalable Data Stack with SQL
  26. Data, Governance, and Freedom
  27. How to Get the Technology Stack Right for Your Business
  28. Data Modelling with Apache Cassandra
  29. How to Orchestrate Your ML Pipelines in Hybrid Cloud
  30. Full Stack Metadata Driven Thinking to Drive Business Agility
  31. Enhance Developer Experience Using OpenShift on Azure
  32. Fast Data for Faster Business
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  37. 99% of Your IoT Data Is Worthless, but Which 99%?
  38. Data Engineering in MagicLab: The Birth and Life of an Event
  39. RNA - Event Stream Processing Made Simple
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  42. Building Stream Processing Applications with Apache Kafka Using KSQL
  43. Real-world, Real-time Digital Transformation
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  46. The Hardest Part of AI & Analytics Is Not AI, It Is Data Management
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  48. Snowflake? Why Should I Care?
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  51. The Next Generation of Data Architecture
  52. Modern Enterprise Data Engineering
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  54. Flex Your Data(Ops) Muscles
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  57. Quickly, Codelessly Connect Any Application to Any REST API
  58. Rethinking Data Warehouse Modernization in the Age of Hybrid Cloud/On-premise Data Warehouses
  59. From Waterfall to Agile – A Data Warehouse Modernisation Story
  60. Freeing up Engineering and Infrastructure Resources to Scale with DataOps
  61. Unit Testing with pytest
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  63. Data Science at SEGA
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  75. Decouple Storage from Compute
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  77. Consent, Compliance, and the Impact on Customer Experience
  78. AI & Communication: Meaningful Data from New Sources
  79. Real-time Personalised Customer Interaction at Scale
  80. Data: The Musical, with LW Theatres
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  84. Embedding Intelligence into the Heart of Customer Operations
  85. The Art of Customer Conversations
  86. How to Build a Fully Autonomous Card Fraud Detection System
  87. At Last! The Real-time Customer Experience
  88. Data Privacy Mythbusting
  89. Demystifying Data – What They Don’t Tell You at Data School
  90. Optimizing Your Data Value Chain with Agile Data Management
  91. Data at SEGA Europe
  92. Keep Your Data Lake from Getting Hadooped
  93. Top 10 Privacy Tips & Tricks in Big Data
  94. Data Governance as a Customer Service
  95. 7 AI Quick Win Projects
  96. Delivering Value with Intelligent Data Governance
  97. The Culture Competition – Personalisation vs. Privacy
  98. DataOps for AI and Digital Transformation
  99. Big Data LDN: A GDPR Retrospective
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Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Explores the advantages of employing a logical data warehouse architecture for achieving fast access to unified data, which is vital for the banking sector
Examines real-world implementation and benefits of data virtualization in the banking industry, providing practical insights
Delves into the key principles and practices of data virtualization, empowering learners to make informed decisions about its application
Led by industry expert Sylvain Dutilh, who possesses extensive knowledge and experience in data virtualization
Provides a practical understanding of how data virtualization can enhance data accessibility and drive business insights
Emphasizes the strategic importance of data virtualization for organizations seeking to leverage their data effectively
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