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Big Data LDN
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Self-Service Data Discovery
Semantic Graph
Governed Data Discovery
MicroStrategy
Data Analysis
Data Exploration
Data Visualization
Register for this course and see more details by visiting:
OpenCourser.com/course/fq4l44/governed
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Provides accessible data to all employees within the organization
Empowers individuals to find answers and insights without relying on data experts
Leverages MicroStrategy's Semantic Graph, enabling efficient and scalable data discovery
Addresses the challenge of data inconsistency and ensures data integrity
Facilitates data sharing among teams, promoting collaboration and knowledge sharing
Taught by Matt Pepper, a renowned expert in data discovery and analytics
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Activities
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Governed Data Discovery.
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Career center
Learners who complete Governed Data Discovery will develop knowledge and skills
that may be useful to these careers:
Business Intelligence Analyst
Business Intelligence Analyst
A Business Intelligence Analyst is responsible for collecting, analyzing, and interpreting data to help businesses make better decisions. MicroStrategy's Semantic Graph enables Governed Data Discovery at scale, which is a key skill for Business Intelligence Analysts. This course can help you learn how to use the Semantic Graph to discover and analyze data, and how to create reports and visualizations that can help your business make better decisions.
Data Scientist
Data Scientist
A Data Scientist is responsible for developing and implementing data-driven solutions to business problems. MicroStrategy's Semantic Graph enables Governed Data Discovery at scale, which is a key skill for Data Scientists. This course can help you learn how to use the Semantic Graph to discover and analyze data, and how to develop and implement data-driven solutions.
Data Analyst
Data Analyst
A Data Analyst is responsible for collecting, cleaning, and analyzing data to help businesses understand their customers and make better decisions. MicroStrategy's Semantic Graph enables Governed Data Discovery at scale, which is a key skill for Data Analysts. This course can help you learn how to use the Semantic Graph to discover and analyze data, and how to create reports and visualizations that can help your business understand its customers and make better decisions.
Database Administrator
Database Administrator
A Database Administrator is responsible for managing and maintaining databases. MicroStrategy's Semantic Graph is a database technology, so it is important for Database Administrators to understand how to use it. This course can help you learn how to use the Semantic Graph to manage and maintain databases.
Data Architect
Data Architect
A Data Architect is responsible for designing and implementing data architectures. MicroStrategy's Semantic Graph is a data architecture technology, so it is important for Data Architects to understand how to use it. This course can help you learn how to use the Semantic Graph to design and implement data architectures.
Software Engineer
Software Engineer
A Software Engineer is responsible for developing and implementing software applications. MicroStrategy's Semantic Graph is a software technology, so it is important for Software Engineers to understand how to use it. This course can help you learn how to use the Semantic Graph to develop and implement software applications.
Business Analyst
Business Analyst
A Business Analyst is responsible for analyzing business processes and identifying opportunities for improvement. MicroStrategy's Semantic Graph can be used to analyze business processes and identify opportunities for improvement. This course can help you learn how to use the Semantic Graph to analyze business processes and identify opportunities for improvement.
Financial Analyst
Financial Analyst
A Financial Analyst is responsible for analyzing financial data and making recommendations for investment. MicroStrategy's Semantic Graph can be used to analyze financial data and make recommendations for investment. This course can help you learn how to use the Semantic Graph to analyze financial data and make recommendations for investment.
Marketing Analyst
Marketing Analyst
A Marketing Analyst is responsible for analyzing marketing data and making recommendations for marketing campaigns. MicroStrategy's Semantic Graph can be used to analyze marketing data and make recommendations for marketing campaigns. This course can help you learn how to use the Semantic Graph to analyze marketing data and make recommendations for marketing campaigns.
Product Manager
Product Manager
A Product Manager is responsible for managing the development and launch of new products. MicroStrategy's Semantic Graph can be used to manage the development and launch of new products. This course can help you learn how to use the Semantic Graph to manage the development and launch of new products.
Project Manager
Project Manager
A Project Manager is responsible for managing projects and ensuring that they are completed on time and within budget. MicroStrategy's Semantic Graph can be used to manage projects and ensure that they are completed on time and within budget. This course can help you learn how to use the Semantic Graph to manage projects and ensure that they are completed on time and within budget.
Risk Manager
Risk Manager
A Risk Manager is responsible for identifying and managing risks. MicroStrategy's Semantic Graph can be used to identify and manage risks. This course can help you learn how to use the Semantic Graph to identify and manage risks.
Compliance Officer
Compliance Officer
A Compliance Officer is responsible for ensuring that a company complies with all applicable laws and regulations. MicroStrategy's Semantic Graph can be used to ensure that a company complies with all applicable laws and regulations. This course can help you learn how to use the Semantic Graph to ensure that a company complies with all applicable laws and regulations.
Auditor
Auditor
An Auditor is responsible for examining financial records to ensure that they are accurate and complete. MicroStrategy's Semantic Graph can be used to examine financial records to ensure that they are accurate and complete. This course can help you learn how to use the Semantic Graph to examine financial records to ensure that they are accurate and complete.
Consultant
Consultant
A Consultant is responsible for providing advice and assistance to clients. MicroStrategy's Semantic Graph can be used to provide advice and assistance to clients. This course can help you learn how to use the Semantic Graph to provide advice and assistance to clients.
For more career information including salaries, visit:
OpenCourser.com/course/fq4l44/governed
Reading list
We've selected ten books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Governed Data Discovery.
Save
Provides a comprehensive guide to data quality, including its principles, practices, and technologies. It valuable resource for understanding the role of data quality in ensuring the accuracy, consistency, and reliability of data.
Provides a comprehensive guide to data integration, including its principles, practices, and technologies. It valuable resource for understanding the role of data integration in combining data from multiple sources.
Save
Provides a comprehensive overview of data management, including its principles, practices, and technologies. It valuable resource for understanding the role of data management in ensuring the efficient and effective use of data.
Provides a comprehensive guide to data warehousing, including its principles, practices, and technologies. It valuable resource for understanding the role of data warehousing in storing and managing large volumes of data.
Save
Provides a comprehensive guide to predictive analytics, including its principles, practices, and technologies. It valuable resource for understanding the role of predictive analytics in forecasting future events.
Provides a comprehensive guide to machine learning, including its principles, practices, and technologies. It valuable resource for understanding the role of machine learning in automating tasks and making predictions.
Save
Provides a comprehensive guide to deep learning, including its principles, practices, and technologies. It valuable resource for understanding the role of deep learning in automating tasks and making predictions.
Provides a practical guide to data science for business managers, including its principles, practices, and technologies. It valuable resource for understanding the role of data science in driving business decisions.
Save
Provides a comprehensive guide to data mining, including its principles, practices, and technologies. It valuable resource for understanding the role of data mining in extracting insights from data.
Save
Provides a comprehensive overview of big data, including its principles, practices, and technologies. It valuable resource for understanding the role of big data in transforming our world.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/fq4l44/governed
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Big Data LDN
This course belongs to a
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Big Data LDN 2019 . It's comprised of 101 courses:
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- Achieving 100% Adoption of Analytics in the Enterprise
- Data Skills: How Mondi Does Digital
- Building a Modern Data Architecture for the Data Driven Enterprise
- 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
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- Building Predictive Maintenance Solutions
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- 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 (viewing)
- 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
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- 7 AI Quick Win Projects
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- 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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