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Optimizing Your Data Value Chain with Agile Data Management

Big Data LDN

Big Data LDN 2019 | Optimizing Your Data Value Chain with Agile Data Management | Ioana Stama

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Big Data LDN 2019 | Optimizing Your Data Value Chain with Agile Data Management | Ioana Stama

Data is the fuel of digital business and transformation, but access to unified data that is governed, secure, and trusted is one of the toughest barriers to overcome. In this session, Ioana Stama will show how you can make data truly pervasive throughout your organisation and make it insightful and action-oriented, so that you can benefit from a 360-degree view of everything. Specifically, you will learn how to: optimize your data value chain and easily access, govern, and share all data with greater consistency and control, deliver consistent, IT-curated data that conforms to your enterprise data model and standards, and reduce the time your business users spend searching for and preparing data, so they can spend more time analyzing it..

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data-driven innovation data value chain optimization agile data management digital transformation with data data governance and security data-driven business strategy

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Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Intended for IT and data management professionals who want to optimize their data value chain and make data insights-driven
Teaches how to optimize data value chain and access, govern, and share all data with consistency and control
Presented by an expert in data management and analytics, Ioana Stama
Covers the latest trends and best practices in data management and analytics
Suitable for both beginners and experienced data professionals
Requires familiarity with data management concepts and technologies

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Career center

Learners who complete Optimizing Your Data Value Chain with Agile Data Management will develop knowledge and skills that may be useful to these careers:
Data Engineer
Data engineers make sure a company's data is accessible, usable, and secure. They find optimal ways to gather, store, and visualize data, while making it usable by stakeholders throughout the organization. Taking this course may help you become a Data Engineer by teaching you about data governance and standards. You will also learn how to design and implement data pipelines that can handle large volumes of data. This course can help you build a foundation for a successful career as a Data Engineer.
See salaries and explore the career path for Data Engineer
Data Analyst
Data analysts collect, clean, and analyze data to help businesses make informed decisions. They use their skills in statistics, programming, and data visualization to identify trends and patterns in data. Taking this course may help you become a Data Analyst by teaching you about data governance and standards. You will also learn how to prepare and analyze large datasets. This course can help you build a foundation for a successful career as a Data Analyst.
See salaries and explore the career path for Data Analyst
Data Scientist
Data scientists use their knowledge of mathematics, statistics, and computer science to extract insights from data. They develop algorithms and models to predict future trends and identify new opportunities. Taking this course may help you become a Data Scientist by teaching you about data governance and standards. You will also learn how to manage and analyze large datasets. This course can help you build a foundation for a successful career as a Data Scientist.
See salaries and explore the career path for Data Scientist
Business Analyst
Business analysts use their understanding of business processes and data to improve organizational performance. They identify inefficiencies and develop solutions to help businesses achieve their goals. Taking this course may help you become a Business Analyst by teaching you about data governance and standards. You will also learn how to analyze data and identify opportunities for improvement. This course can help you build a foundation for a successful career as a Business Analyst.
See salaries and explore the career path for Business Analyst
Product Manager
Product managers are responsible for the development and launch of new products. They work with engineers, designers, and marketers to ensure that products meet the needs of customers. Taking this course may help you become a Product Manager by teaching you about data governance and standards. You will also learn how to analyze data and identify opportunities for new products. This course can help you build a foundation for a successful career as a Product Manager.
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Marketing Analyst
Marketing analysts use data to understand customer behavior and develop marketing campaigns. They work with marketers to identify target audiences and measure the effectiveness of campaigns. Taking this course may help you become a Marketing Analyst by teaching you about data governance and standards. You will also learn how to analyze data and identify trends. This course can help you build a foundation for a successful career as a Marketing Analyst.
See salaries and explore the career path for Marketing Analyst
Financial Analyst
Financial analysts use data to evaluate investments and make recommendations to clients. They work with companies and individuals to help them make informed decisions about their finances. Taking this course may help you become a Financial Analyst by teaching you about data governance and standards. You will also learn how to analyze data and identify trends. This course can help you build a foundation for a successful career as a Financial Analyst.
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Operations Manager
Operations managers are responsible for the day-to-day operations of a business. They work with employees, customers, and suppliers to ensure that the business runs smoothly. Taking this course may help you become an Operations Manager by teaching you about data governance and standards. You will also learn how to analyze data and identify opportunities for improvement. This course can help you build a foundation for a successful career as an Operations Manager.
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IT Manager
IT managers are responsible for the planning, implementation, and maintenance of a company's IT systems. They work with employees, vendors, and customers to ensure that the IT systems meet the needs of the business. Taking this course may help you become an IT Manager by teaching you about data governance and standards. You will also learn how to manage and analyze data. This course can help you build a foundation for a successful career as an IT Manager.
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Project Manager
Project managers are responsible for planning, executing, and closing projects. They work with teams to ensure that projects are completed on time, within budget, and to the required quality standards. Taking this course may help you become a Project Manager by teaching you about data governance and standards. You will also learn how to analyze data and identify risks. This course can help you build a foundation for a successful career as a Project Manager.
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Software Engineer
Software engineers design, develop, and maintain software systems. They work with users, business analysts, and other engineers to create software that meets the needs of the business. Taking this course may help you become a Software Engineer by teaching you about data governance and standards. You will also learn how to manage and analyze data. This course can help you build a foundation for a successful career as a Software Engineer.
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Database Administrator
Database administrators are responsible for the planning, implementation, and maintenance of a company's databases. They work with users, developers, and other IT staff to ensure that the databases are available, reliable, and secure. Taking this course may help you become a Database Administrator by teaching you about data governance and standards. You will also learn how to manage and analyze data. This course can help you build a foundation for a successful career as a Database Administrator.
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Data Architect
Data architects design and manage the data architecture for an organization. They work with business stakeholders and IT staff to develop a data architecture that meets the needs of the business. Taking this course may help you become a Data Architect by teaching you about data governance and standards. You will also learn how to design and implement data pipelines. This course can help you build a foundation for a successful career as a Data Architect.
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Information Security Analyst
Information security analysts are responsible for protecting an organization's information systems from unauthorized access, use, disclosure, disruption, modification, or destruction. They work with management, IT staff, and users to develop and implement security policies and procedures. Taking this course may help you become an Information Security Analyst by teaching you about data governance and standards. You will also learn how to analyze data and identify risks. This course can help you build a foundation for a successful career as an Information Security Analyst.
See salaries and explore the career path for Information Security Analyst
Compliance Officer
Compliance officers are responsible for ensuring that an organization complies with all applicable laws and regulations. They work with management, legal counsel, and other staff to develop and implement compliance policies and procedures. Taking this course may help you become a Compliance Officer by teaching you about data governance and standards. You will also learn how to analyze data and identify risks. This course can help you build a foundation for a successful career as a Compliance Officer.
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Course image
Time
20 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:
  1. The Database Is Only Half Done
  2. Your AI Is Wrong! Lessons from Decision-making with Imperfect AI
  3. Multiparadigm Data Science: The Next Frontier in Decision Making
  4. Achieving 100% Adoption of Analytics in the Enterprise
  5. Data Skills: How Mondi Does Digital
  6. Building a Modern Data Architecture for the Data Driven Enterprise
  7. Harnessing the Power of Data to Improve Public Health
  8. Real-time Data Analytics at Scale Using Cloud Services
  9. Quick and Easy Access to Data through a Logical Data Warehouse Environment
  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
  21. Bring the Power of Watson to AWS and Azure: Watson Anywhere Powered by Cloud Pak for Data
  22. Modern Data Warehousing at Scale Using Azure Data Factory
  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
  33. Driving Faster, Smarter Actions on IoT Data with New Real-time Analytics Capabilities
  34. Introduction to Adept and How Big Data and Analytics Is Transforming the Connected Car Ecosystem
  35. Bridge to Cloud
  36. How to Train Your AI Models at Scale
  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
  40. When Data Leads, Transformation Follows - A Look at Qlik's Data Integration Portfolio
  41. Saving Energy in Homes with a Unified Approach to Data and AI
  42. Building Stream Processing Applications with Apache Kafka Using KSQL
  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?
  49. The Future of Business Intelligence Isn't a Tool
  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
  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 (viewing)
  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
  100. GDPR: A Sword Not a Shield
  101. Drive Business Growth While Satisfying GDPR and CCPA
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Intended for IT and data management professionals who want to optimize their data value chain and make data insights-driven
Teaches how to optimize data value chain and access, govern, and share all data with consistency and control
Presented by an expert in data management and analytics, Ioana Stama
Covers the latest trends and best practices in data management and analytics
Suitable for both beginners and experienced data professionals
Requires familiarity with data management concepts and technologies
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