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Big Data Program

Learn why big data is critical from a competitive standpoint in today’s economy. Focus on the market outlook and how to gain C-suite support for a solution strategy. Understand how leading organizations are using big data to ensure a competitive advantage.

• Discover the characteristics of big data and market outlook to understand your opportunity!
• Explore the four V’s (Volume, Velocity, Variety, Veracity).
• Learn about the future of machine learning and artificial intelligence.
• Review implementation and organizational challenges, as well as key advantages to using big data.

Big Data is Big Business. It requires a solid understanding of infrastructure to work properly and to achieve value for your company. Learn how to successfully implement your big data initiatives - starting with a well-constructed architecture. Whether your infrastructure is on-premise, hosted or cloud-based your strategy should focus on five key components.

• Learn the 5 key components of big data strategy.
• Understand the infrastructure options and opportunities.
• Discover the advantages of on-premise vs. hosted vs. cloud solutions.
• Gain insights to the possibilities in data collection and recognize the challenges in storing data.
• Learn the importance of analytics and visualization.

Capturing big data is great, but you need a strategy and plan in place to analyze the structured and unstructured data in order to derive true business value. Learn to analyze the data, what analytical model should be leveraged and which solution you should pick.

• Discover the difference between Big Data Analysis vs. Business Intelligence.
• Examine the value of analysis and visualization.
• Understand the types of tools available and the best analytical models to use.

AI and ML systems are not just abstract concepts; they have a significant impact on our daily lives. They drive product recommendations, suggested shows, helpful chatbots, predictive text, language translation apps and even how your social media feeds are presented to you. Learn to formulate a strategy and enhance your organization's readiness for AI and ML implementation.

• Discover how AI and ML can drive product innovation.
• Develop your own AI/ML strategies to enhance readiness.
• Learn how AI and ML come together to provide services we now all rely on.
• Review how top industry leaders are employing AI and ML to keep their competitive edge.

Using AI to assist you with projects is big news today. This exciting AI workshop will teach you to leverage the power of AI in your business. From code creation to creative expression, from hot topics to image generation - learn how AI is definitely pushing today's boundaries.

• Discover (if you haven't already) ChatGPT and its vast capabilities.
• Examine how AI is transforming industries and how to leverage its power at your organization.
• Gain ideas to create your own project with the assistance of AI.

Data protection is critical for corporate survival. The term "big data security" encompasses the measures and tools used to guard both data and analytics processes from attacks, theft and other malicious activities. Identify your own strategy and your organization's readiness for avoiding potential attacks.

• Review current challenges in big data security.
• Identify critical financial models using time series regression techniques and statistical classifiers.
• Analyze data sets to gain insights that allow proactive financial and staffing decisions.
• Discover big data security models for today’s challenges, and for the future.

Understanding and selecting the right data integration process for your own data strategy is paramount. Whether you use Extract-Transform-Load (ETL) or Extract-Load-Transform (ELT) to make your data digestible, you’ll need to provide a unified view of data from multiple sources. Learn about this three-phased process where data is extracted, transformed (cleaned, sanitized, scrubbed) and loaded into an output data container.

• Understand the importance of transformation and integration.
• Examine the difference between ETL vs. ELT.
• Discover the nuances of the transformation process.

While technicians and functional leaders may understand big data is critical to support business, in contrast, many executives are reluctant to invest in the resources needed. To convince executives your big data initiative is critical, learn how to communicate the potential business value and benefits of your efforts in a clear and concise manner.

• Identify which components should be included in an executive presentation.
• Understand why communicating the business value of big data is critical.
• Discover how the MVP approach can illustrate early project success.
• Create your own presentation and show the "pot of gold" your big data solution creates.

​Capture your learning success and demonstrate ROI with a personalized, detailed action plan that includes goals, KPIs, major deliverables, risks, solution architecture, requirements and more. By the end of the program your capstone project, templates and materials you've worked on throughout the course formulate your very own professional Big Data Portfolio.