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A gathering place for all things big data related in Utah. We are seeking to help Utah become a Big Data Hub for the world! Please help us in this ubiquitous goal.
We'll be covering topics such as Hadoop, Cassandra, MongoDB, predictive analytics, and on and on.
Many sessions are recorded. if you follow this google account you will be notified anytime a link/recording is published.
https://plus.google.com/u/0/105129645065094661685/posts
Join us on the Utah Geek Events Slack channel! A great place to chat with others in the community and to stay up to date on what is going on. Use the link below to get an invite to your email address.
Próximos eventos (4+)
Ver todo- Big Data Utah MeetingSolo los asistentes pueden ver el enlace
This event is on a Tuesday and not Wednesday like we normally have the events.
This is an online-only event, If you RSVP for the event you will see the zoom link. We have added a waiting room to the zoom meeting. Please make sure you are using your name when connecting. We will post in the group if we are able to get an in person meeting location for this as well.
Tyler will be doing a presentation on Nifi and it's capabilities. The details are listed below.
Abstract:
I. Introduction to Apache NiFi A. Overview of Apache NiFi B. History and Evolution C. Key Features and Capabilities D. Use Cases and Applications
II. Getting Started with NiFi A. Installation and Setup B. Accessing the User Interface (UI) C. Exploring NiFi UI Components D. Creating a New Dataflow
III. Building Dataflows with NiFi A. Introduction to Processors B. Configuring Processors for Data Transformation C. Routing and Filtering Data D. Handling Flowfiles E. Using NiFi Templates for Reusability
IV. Data Ingestion and Extraction A. Understanding Data Provenance B. Ingesting Data from Various Sources (e.g., Files, Databases, APIs) C. Parsing and Extracting Data from Structured and Unstructured Sources D. Handling Error and Retry Mechanisms
V. Data Transformation and Enrichment A. Introduction to Data Transformation B. Using Expression Language for Dynamic Routing and Content Modification C. Enriching Data with External Services (e.g., Lookup Services) D. Filtering and Splitting Data for Further Processing
VI. Data Routing and Scheduling A. Introduction to Data Routing B. Configuring Data Routing Strategies C. Using NiFi Queues and Priorities D. Scheduling Dataflows and Triggering Events
VII. Monitoring and Management A. Introduction to NiFi Monitoring B. Using NiFi Metrics and Monitoring Dashboard C. Managing NiFi Clusters and Nodes D. Troubleshooting Common Issues
VIII. Best Practices and Advanced Topics A. Designing Scalable and Reliable Dataflows B. Security Best Practices for NiFi C. Performance Tuning and Optimization Techniques D. Advanced Features and Integrations (e.g., Apache Kafka Integration)
IX. Q&A and Discussion A. Open Floor for Questions and Answers B. Discussion on Real-world Use Cases and Challenges C. Sharing Resources and Further Learning Opportunities
X. Conclusion A. Recap of Key Concepts Covered C. Closing RemarksBio: Tyler Ford
I'm a dedicated professional with a solid background in Big Data, Data Engineering, Machine Learning, and Data Science. I specialize in areas like Natural Language Processing, Streaming, and ETL Pipelines. My passion lies in driving innovation and delivering top-notch solutions and training programs to meet industry demands.
Certifications:- Cybersecurity
- Advanced Security Practitioner (CASP+)
- Dataiku
- Data Science
- Hadoop
- MCSE Data Platform
- MCSE Data Management and Analytics
- MCSA: SQL Server 2012
CompTIA Subject Matter Expert
- Instrumental member of the original team that created the data science and machine learning certificate program.
- Data Systems
- Data+
Notable Achievements:
- Conducted training sessions for various companies and subjects including:
- BHG Financial (Nifi)
- Edwards Life Sciences (gRPC)
- Oracle (Kafka on Kubernetes)
- Brookhaven National Laboratory/sPHENIX Project (Luster)
- Rutgers University (Python Data)
Career
- I've served as the Big Data/Data Science Architect at the University of Utah for the past 8 years.
- I'm currently instructing Data Analysis Bootcamps for both the University of Utah and UC Berkeley.
- I am the founder of dataUology, a company focused on lifelong learning and peer collaboration through data bootcamps – www.datauology.com