TDWI | Training & Research | Business Intelligence, Analytics, Big Data, Data Warehousing

Data Management

The technologies, architectures, and practices needed to manage data as a critical enterprise asset. It is a broad field, within which there are specialized disciplines.

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TOPICS INCLUDE:

• Data Quality
• Data Integration
• Master Data Management
• Data Modeling
• Data Preparation
• Modernizing data warehouse (Hadoop, Stream, NoSQL, In-Memory db, Data Lakes, etc.)
• Ecosystem Architectures
• Data Security

Analytics, Data Science & Business Intelligence

The technologies, techniques, and algorithms for analyzing all kinds of data to derive insights and take action for better decision making and enterprise success.

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TOPICS INCLUDE:

• OLAP
• Dashboards
• Visual Analytics/Discovery
• Geospatial Analytics
• Click Stream Analytics
• Data Mining/Predictive/Machine Learning/Neural Networks
• Text Analytics/Social Analytics
• Stream Analytics
• IoT Analytics
• Other Big Data Approaches
• Cognitive Computing

Methodologies & Strategies

The processes and approaches to deliver business value through data and analytics. Includes a strong focus on leadership strategies and organizational management to maximize data management and analytics impact.

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TOPICS INCLUDE:

• Agile Development
• Performance Management
• Change Management
• Leadership Strategies
• Organizational Models for Analytics Execution
• Programming Skills: R, Python, Java for Data Science
• LifeCycle Management
• Storytelling with Data
• Governance
• Ethics

Development, Deployment & Delivery

Languages and software environments for analytics development as well as analytics deployment and delivery models to help organizations achieve their goals.

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TOPICS INCLUDE:

• On Premises, Public, Private, Hybrid Cloud
• As a Service, IaaS, PaaS, SaaS
• Operationalizing Analytics and Decision Science
• DevOpps