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From Waterfall to Agile – A Data Warehouse Modernisation Story

Big Data LDN

Big Data LDN 2019 | From Waterfall to Agile – A Data Warehouse Modernisation Story | James Gardiner, Cara Monk, and Aaran Morris

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Big Data LDN 2019 | From Waterfall to Agile – A Data Warehouse Modernisation Story | James Gardiner, Cara Monk, and Aaran Morris

Admiral’s disparate and complex data ecosystem had outgrown waterfall methodologies and hand coding, and wasn't fit for the company’s digital ambitions. In this session, James Gardiner describes the business message of how Data Automation software enabled his team to adopt an agile mindset and create a repeatable, automated framework in just a few months. James’ colleagues Cara Monk and Aaran Morris will then explain what happened at a technical level – how the addition of Continuous Integration, Continuous Deployment, Continuous Testing, and monitoring methodologies added agility to their overall process.

This course is no longer available. Find a similar course by searching these:
agile data warehouse modernisation data automation software monitoring methodologies continuous testing continuous deployment continuous integration

What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Explores modernization of data warehouses by adopting agile methodologies and automation software
Provides insights into how continuous integration, continuous deployment, continuous testing, and monitoring methodologies enhance agility in data warehouse processes
Suitable for data engineers, architects, and professionals involved in data warehouse modernization

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Career center

Learners who complete From Waterfall to Agile – A Data Warehouse Modernisation Story will develop knowledge and skills that may be useful to these careers:
Data Warehouse Engineer
Data Warehouse Engineers design and develop data warehouses to store and manage large amounts of data. They work with data analysts and business intelligence professionals to determine the data requirements of an organization and develop a data warehouse that meets those needs. This course can help Data Warehouse Engineers learn how to use agile methodologies to develop data warehouses that are more flexible and responsive to changing business needs. It can also help them learn how to use automation tools to streamline the data warehouse development process.
See salaries and explore the career path for Data Warehouse Engineer
Data Architect
Data Architects design and develop the overall architecture of data systems, including data warehouses, data lakes, and other data storage and processing systems. They work with data engineers and data scientists to determine the data requirements of an organization and develop a data architecture that meets those needs. This course can help Data Architects learn how to use agile methodologies to develop data architectures that are more flexible and responsive to changing business needs. It can also help them learn how to use automation tools to streamline the data architecture development process.
See salaries and explore the career path for Data Architect
Data Engineer
Data Engineers develop and maintain the infrastructure that stores and processes data. They work with data architects and data scientists to determine the data requirements of an organization and develop a data infrastructure that meets those needs. This course can help Data Engineers learn how to use agile methodologies to develop data infrastructures that are more flexible and responsive to changing business needs. It can also help them learn how to use automation tools to streamline the data infrastructure development process.
See salaries and explore the career path for Data Engineer
Data Scientist
Data Scientists use data to solve business problems. They work with data engineers and data analysts to collect, clean, and analyze data to identify trends and patterns. This course can help Data Scientists learn how to use agile methodologies to develop data science solutions that are more flexible and responsive to changing business needs. It can also help them learn how to use automation tools to streamline the data science development process.
See salaries and explore the career path for Data Scientist
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses make better decisions. They work with data engineers and data scientists to collect, clean, and analyze data to identify trends and patterns. This course can help Business Intelligence Analysts learn how to use agile methodologies to develop business intelligence solutions that are more flexible and responsive to changing business needs. It can also help them learn how to use automation tools to streamline the business intelligence development process.
See salaries and explore the career path for Business Intelligence Analyst
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with product managers and business analysts to determine the requirements of a software application and develop a software application that meets those requirements. This course can help Software Engineers learn how to use agile methodologies to develop software applications that are more flexible and responsive to changing business needs. It can also help them learn how to use automation tools to streamline the software development process.
See salaries and explore the career path for Software Engineer
Product Manager
Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and marketers to determine the requirements of a new product and develop a product that meets those requirements. This course can help Product Managers learn how to use agile methodologies to develop products that are more flexible and responsive to changing market needs. It can also help them learn how to use automation tools to streamline the product development process.
See salaries and explore the career path for Product Manager
Project Manager
Project Managers are responsible for planning, executing, and closing projects. They work with stakeholders to define the scope of a project and develop a project plan. This course can help Project Managers learn how to use agile methodologies to manage projects that are more flexible and responsive to changing business needs. It can also help them learn how to use automation tools to streamline the project management process.
See salaries and explore the career path for Project Manager
Business Analyst
Business Analysts work with businesses to identify and solve problems. They work with stakeholders to define the scope of a problem and develop a solution that meets the needs of the business. This course can help Business Analysts learn how to use agile methodologies to solve problems that are more flexible and responsive to changing business needs. It can also help them learn how to use automation tools to streamline the problem-solving process.
See salaries and explore the career path for Business Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. They work with data scientists and business intelligence analysts to develop data-driven solutions to business problems. This course can help Data Analysts learn how to use agile methodologies to develop data-driven solutions that are more flexible and responsive to changing business needs. It can also help them learn how to use automation tools to streamline the data analysis process.
See salaries and explore the career path for Data Analyst
Database Administrator
Database Administrators are responsible for the maintenance and performance of databases. They work with database designers to design and implement databases and with application developers to ensure that applications can access data efficiently. This course can help Database Administrators learn how to use agile methodologies to maintain and improve the performance of databases. It can also help them learn how to use automation tools to streamline the database administration process.
See salaries and explore the career path for Database Administrator
Systems Analyst
Systems Analysts work with businesses to identify and solve problems. They work with stakeholders to define the scope of a problem and develop a solution that meets the needs of the business. This course can help Systems Analysts learn how to use agile methodologies to solve problems that are more flexible and responsive to changing business needs. It can also help them learn how to use automation tools to streamline the problem-solving process.
See salaries and explore the career path for Systems Analyst
IT Manager
IT Managers are responsible for the planning, implementation, and operation of information technology systems. They work with business leaders to develop and implement IT strategies that support the business. This course can help IT Managers learn how to use agile methodologies to manage IT systems that are more flexible and responsive to changing business needs. It can also help them learn how to use automation tools to streamline the IT management process.
See salaries and explore the career path for IT Manager
Software Developer
Software Developers design, develop, and maintain software applications. They work with product managers and business analysts to determine the requirements of a software application and develop a software application that meets those requirements. This course can help Software Developers learn how to use agile methodologies to develop software applications that are more flexible and responsive to changing business needs. It can also help them learn how to use automation tools to streamline the software development process.
See salaries and explore the career path for Software Developer
Data Governance Analyst
Data Governance Analysts are responsible for developing and implementing data governance policies and procedures. They work with business leaders and IT professionals to ensure that data is used in a consistent and ethical manner. This course can help Data Governance Analysts learn how to use agile methodologies to develop and implement data governance policies and procedures that are more flexible and responsive to changing business needs. It can also help them learn how to use automation tools to streamline the data governance process.
See salaries and explore the career path for Data Governance Analyst

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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
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  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
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  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
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  19. ML in Production: Serverless and Painless
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  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
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  33. Driving Faster, Smarter Actions on IoT Data with New Real-time Analytics Capabilities
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  36. How to Train Your AI Models at Scale
  37. 99% of Your IoT Data Is Worthless, but Which 99%?
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  39. RNA - Event Stream Processing Made Simple
  40. When Data Leads, Transformation Follows - A Look at Qlik's Data Integration Portfolio
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  43. Real-world, Real-time Digital Transformation
  44. Machine Data in Industry 4.0: How to Handle It Better
  45. Why CockroachDB in the Kindred Platform?
  46. The Hardest Part of AI & Analytics Is Not AI, It Is Data Management
  47. Effective Cloud Migration Strategies for Your Modern Data Applications
  48. Snowflake? Why Should I Care?
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  50. AI-driven Retail for the 21st Century
  51. The Next Generation of Data Architecture
  52. Modern Enterprise Data Engineering
  53. Taking Control of User Analytics with Snowplow
  54. Flex Your Data(Ops) Muscles
  55. You Love Big Data, so Does R
  56. Building Predictive Maintenance Solutions
  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 (viewing)
  60. Freeing up Engineering and Infrastructure Resources to Scale with DataOps
  61. Unit Testing with pytest
  62. Credit Card Fraud – Why the Database Matters
  63. Data Science at SEGA
  64. British Telecom: Data-driven Digital Transformation
  65. Using Cloud Solution Platforms to Drive Business Value and Cost Optimization
  66. Data Analytics & IoT Innovations at Bosch
  67. Converting the CDO to a Profit Centre
  68. Why Self-service Data Analytics Usually Fails & Ideas for Succeeding
  69. Governed Data Discovery
  70. Journey to Create a Great Analytic Culture
  71. Something Amazing for Everyone: Embracing Inclusive Design to Deliver Accessible Experiences
  72. Democratising Data – How We Built a Self-serve Data Platform
  73. Discover the “Why” You Didn't Know Existed
  74. Selecting Your Fantasy Premier League Team with Advanced Analytics
  75. Decouple Storage from Compute
  76. Data Skills: Building a Data Team Fit for a Data-driven Enterprise
  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
  81. Self-service and Tableau Community at Lloyds Banking Group
  82. The Digital Hero’s Journey: Using Big Data to Uncover Business Value and Meaning at Work
  83. Using Location Intelligence to Place Solar Panels in Rwanda
  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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  101. Drive Business Growth While Satisfying GDPR and CCPA
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Explores modernization of data warehouses by adopting agile methodologies and automation software
Provides insights into how continuous integration, continuous deployment, continuous testing, and monitoring methodologies enhance agility in data warehouse processes
Suitable for data engineers, architects, and professionals involved in data warehouse modernization
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