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Big Data LDN
Big Data LDN 2019 | Building a Modern Data Architecture for the Data Driven Enterprise | Mike Ferguson
Big Data LDN 2019 | Building a Modern Data Architecture for the Data Driven Enterprise | Mike Ferguson
This course is no longer available. Find a similar course by searching these:
modern data architecture
mike ferguson
data driven enterprise
big data ldn
big data architecture
pluralsight
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What's inside
Syllabus
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Covers methods and theories in building a modern data architecture
Appropriate for those working in data-driven organizations
Taught by Mike Ferguson, a respected leader and practitioner
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Building a Modern Data Architecture for the Data Driven Enterprise.
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Career center
Learners who complete Building a Modern Data Architecture for the Data Driven Enterprise will develop knowledge and skills
that may be useful to these careers:
Data Architect
Data Architect
A Data Architect helps an organization transform data into actionable insights. Gaining the competitive advantage in the modern business environment requires that data be viewed as an organizational asset. This course helps build a foundation for understanding how data should be defined, categorized, and organized so that it may be easily and efficiently used by a business's stakeholders. Additional information about the design and implementation of modern data architecture is discussed within this course.
Big Data Architect
Big Data Architect
A Big Data Architect designs and implements data architectures for Big Data. They must be familiar with the latest data management technologies and trends. This course helps build a foundation for understanding the challenges and requirements of designing and implementing Big Data architectures.
Data Engineer
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines, databases, and data warehouses. They use their expertise to ensure datasets are accessible, reliable, and up to date. This course helps build a foundation for designing, building, and maintaining modern data architectures.
Data Scientist
Data Scientist
A Data Scientist analyzes data to extract insights that help drive decisions and improve outcomes. They use their skills in statistics, machine learning, and data visualization.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and deploys machine learning models. They work with data scientists to ensure that models are accurate and efficient.
Data Analyst
Data Analyst
A Data Analyst collects, cleans, and analyzes data to identify trends and patterns. They use their findings to help businesses make better decisions.
Business Analyst
Business Analyst
A Business Analyst helps businesses understand their data and make better decisions. They work with stakeholders to identify business needs and develop solutions that meet those needs.
Product Manager
Product Manager
A Product Manager is responsible for the development and launch of new products. They work with engineers, designers, and marketers to bring products to market.
Project Manager
Project Manager
A Project Manager plans, executes, and closes projects. They work with stakeholders to define project goals, develop project plans, and track project progress.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. They work with users to understand their needs and develop solutions that meet those needs.
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases. They work with users to ensure that databases are available, reliable, and secure.
Data Governance Analyst
Data Governance Analyst
A Data Governance Analyst develops and implements data governance policies and procedures. They work with stakeholders to ensure that data is used in a consistent and ethical manner.
Data Privacy Analyst
Data Privacy Analyst
A Data Privacy Analyst helps businesses comply with data privacy regulations. They work with stakeholders to identify and mitigate data privacy risks.
Data Security Analyst
Data Security Analyst
A Data Security Analyst helps businesses protect their data from security threats. They work with stakeholders to identify and mitigate data security risks.
Information Architect
Information Architect
An Information Architect designs and manages information systems. They work with stakeholders to identify business needs and develop information systems that meet those needs.
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Time
30 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:
- The Database Is Only Half Done
- Your AI Is Wrong! Lessons from Decision-making with Imperfect AI
- Multiparadigm Data Science: The Next Frontier in Decision Making
- Achieving 100% Adoption of Analytics in the Enterprise
- Data Skills: How Mondi Does Digital
- Building a Modern Data Architecture for the Data Driven Enterprise (viewing)
- Harnessing the Power of Data to Improve Public Health
- Real-time Data Analytics at Scale Using Cloud Services
- Quick and Easy Access to Data through a Logical Data Warehouse Environment
- The Promise of Data Mastering at Scale
- Research vs. Reality in AI: Would You Trust Your Model with Your Life?
- Modernise Your IT Infrastructure for AI
- Scaling Machine Learning at Holiday Extras
- Why Do Some Machine Learning Models Fail?
- AI: Lessons Learned from the Front Line
- Machine Learning in Real-time: Predicting Taxi Fare in NYC
- How AI and Automated Machine Learning Will Disrupt the Organisational Alignment of Businesses
- Multi-model Powered Machine Learning
- ML in Production: Serverless and Painless
- Leveraging Data Virtualization to Maximize Advanced Analytics and Machine Learning Potential in Your Data Architecture
- Bring the Power of Watson to AWS and Azure: Watson Anywhere Powered by Cloud Pak for Data
- Modern Data Warehousing at Scale Using Azure Data Factory
- Balancing Performance, Scalability, and High Availability in Your Database Environment
- Enabling Microservices for Big Data On-demand in the Cloud
- From ETL to ELT: Building a Scalable Data Stack with SQL
- Data, Governance, and Freedom
- How to Get the Technology Stack Right for Your Business
- Data Modelling with Apache Cassandra
- How to Orchestrate Your ML Pipelines in Hybrid Cloud
- Full Stack Metadata Driven Thinking to Drive Business Agility
- Enhance Developer Experience Using OpenShift on Azure
- Fast Data for Faster Business
- Driving Faster, Smarter Actions on IoT Data with New Real-time Analytics Capabilities
- Introduction to Adept and How Big Data and Analytics Is Transforming the Connected Car Ecosystem
- Bridge to Cloud
- How to Train Your AI Models at Scale
- 99% of Your IoT Data Is Worthless, but Which 99%?
- Data Engineering in MagicLab: The Birth and Life of an Event
- RNA - Event Stream Processing Made Simple
- When Data Leads, Transformation Follows - A Look at Qlik's Data Integration Portfolio
- Saving Energy in Homes with a Unified Approach to Data and AI
- Building Stream Processing Applications with Apache Kafka Using KSQL
- Real-world, Real-time Digital Transformation
- Machine Data in Industry 4.0: How to Handle It Better
- Why CockroachDB in the Kindred Platform?
- The Hardest Part of AI & Analytics Is Not AI, It Is Data Management
- Effective Cloud Migration Strategies for Your Modern Data Applications
- Snowflake? Why Should I Care?
- The Future of Business Intelligence Isn't a Tool
- AI-driven Retail for the 21st Century
- The Next Generation of Data Architecture
- Modern Enterprise Data Engineering
- Taking Control of User Analytics with Snowplow
- Flex Your Data(Ops) Muscles
- You Love Big Data, so Does R
- Building Predictive Maintenance Solutions
- Quickly, Codelessly Connect Any Application to Any REST API
- Rethinking Data Warehouse Modernization in the Age of Hybrid Cloud/On-premise Data Warehouses
- From Waterfall to Agile – A Data Warehouse Modernisation Story
- Freeing up Engineering and Infrastructure Resources to Scale with DataOps
- Unit Testing with pytest
- Credit Card Fraud – Why the Database Matters
- Data Science at SEGA
- British Telecom: Data-driven Digital Transformation
- Using Cloud Solution Platforms to Drive Business Value and Cost Optimization
- Data Analytics & IoT Innovations at Bosch
- Converting the CDO to a Profit Centre
- Why Self-service Data Analytics Usually Fails & Ideas for Succeeding
- Governed Data Discovery
- Journey to Create a Great Analytic Culture
- Something Amazing for Everyone: Embracing Inclusive Design to Deliver Accessible Experiences
- Democratising Data – How We Built a Self-serve Data Platform
- Discover the “Why” You Didn't Know Existed
- Selecting Your Fantasy Premier League Team with Advanced Analytics
- Decouple Storage from Compute
- Data Skills: Building a Data Team Fit for a Data-driven Enterprise
- Consent, Compliance, and the Impact on Customer Experience
- AI & Communication: Meaningful Data from New Sources
- Real-time Personalised Customer Interaction at Scale
- Data: The Musical, with LW Theatres
- Self-service and Tableau Community at Lloyds Banking Group
- The Digital Hero’s Journey: Using Big Data to Uncover Business Value and Meaning at Work
- Using Location Intelligence to Place Solar Panels in Rwanda
- Embedding Intelligence into the Heart of Customer Operations
- The Art of Customer Conversations
- How to Build a Fully Autonomous Card Fraud Detection System
- At Last! The Real-time Customer Experience
- Data Privacy Mythbusting
- Demystifying Data – What They Don’t Tell You at Data School
- Optimizing Your Data Value Chain with Agile Data Management
- Data at SEGA Europe
- Keep Your Data Lake from Getting Hadooped
- Top 10 Privacy Tips & Tricks in Big Data
- Data Governance as a Customer Service
- 7 AI Quick Win Projects
- Delivering Value with Intelligent Data Governance
- The Culture Competition – Personalisation vs. Privacy
- DataOps for AI and Digital Transformation
- Big Data LDN: A GDPR Retrospective
- GDPR: A Sword Not a Shield
- Drive Business Growth While Satisfying GDPR and CCPA
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