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RNA - Event Stream Processing Made Simple

Big Data LDN

Big Data LDN 2019 | RNA - Event Stream Processing Made Simple | Roberto Bentivoglio

With an Master of Science in Computer Science and over 15 years of experience in international enterprises as Head of IT Innovation and CTO, Roberto Bentivoglio is now the COO of Radicalbit, a product company specialized in streaming technologies and real-time data. In the balanced combination of hard skills and a strong business sense, he found his personal formula to contribute successfully to the company growth.

This course is no longer available. Find a similar course by searching these:
event stream processing big data streaming technologies real-time data data science machine learning

What's inside

Syllabus

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Read about what's good
what should give you pause
and possible dealbreakers
Delves into event stream processing, an important concept in big data
Led by an experienced professional in streaming technologies and real-time data

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Career center

Learners who complete RNA - Event Stream Processing Made Simple will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts collect, clean, and analyze data to help organizations make informed decisions. This course can help you build a foundation in event stream processing, which is a valuable skill for Data Analysts who work with real-time data. The course will teach you how to use RNA to process event streams, how to identify patterns and trends in data, and how to communicate your findings to stakeholders.
See salaries and explore the career path for Data Analyst
Data Engineer
Data Engineers build and maintain the infrastructure that stores and processes data. This course can help you build a foundation in event stream processing, which is a valuable skill for Data Engineers who work with real-time data. The course will teach you how to use RNA to process event streams, how to scale event processing systems, and how to monitor and troubleshoot event processing systems.
See salaries and explore the career path for Data Engineer
Data Scientist
Data Scientists use data to solve business problems. This course can help you build a foundation in event stream processing, which is a valuable skill for Data Scientists who work with real-time data. The course will teach you how to use RNA to process event streams, how to identify patterns and trends in data, and how to build machine learning models on event streams.
See salaries and explore the career path for Data Scientist
Software Engineer
Software Engineers design, develop, and maintain software systems. This course can help you build a foundation in event stream processing, which is a valuable skill for Software Engineers who work on real-time systems. The course will teach you how to use RNA to process event streams, how to design and implement event-driven architectures, and how to test and debug event-driven systems.
See salaries and explore the career path for Software Engineer
DevOps Engineer
DevOps Engineers bridge the gap between development and operations teams. This course can help you build a foundation in event stream processing, which is a valuable skill for DevOps Engineers who work with real-time systems. The course will teach you how to use RNA to process event streams, how to monitor and troubleshoot event processing systems, and how to automate the deployment and management of event processing systems.
See salaries and explore the career path for DevOps Engineer
Product Manager
Product Managers define the vision and roadmap for products. This course can help you build a foundation in event stream processing, which is a valuable skill for Product Managers who work on real-time products. The course will teach you how to use RNA to process event streams, how to identify patterns and trends in data, and how to use data to make informed decisions about product development.
See salaries and explore the career path for Product Manager
Business Analyst
Business Analysts bridge the gap between business and technology teams. This course can help you build a foundation in event stream processing, which is a valuable skill for Business Analysts who work with real-time data. The course will teach you how to use RNA to process event streams, how to identify patterns and trends in data, and how to communicate your findings to stakeholders.
See salaries and explore the career path for Business Analyst
Data Architect
Data Architects design and implement the architecture for data systems. This course can help you build a foundation in event stream processing, which is a valuable skill for Data Architects who work with real-time data. The course will teach you how to use RNA to process event streams, how to design and implement event-driven architectures, and how to manage the performance of event processing systems.
See salaries and explore the career path for Data Architect
Database Administrator
Database Administrators manage and maintain databases. This course can help you build a foundation in event stream processing, which is a valuable skill for Database Administrators who work with real-time data. The course will teach you how to use RNA to process event streams, how to store and manage event data, and how to monitor and troubleshoot event processing systems.
See salaries and explore the career path for Database Administrator
Technical Support Engineer
Technical Support Engineers provide support to users of software and hardware products. This course can help you build a foundation in event stream processing, which is a valuable skill for Technical Support Engineers who work with real-time systems. The course will teach you how to use RNA to process event streams, how to troubleshoot event processing systems, and how to communicate with users about event processing systems.
See salaries and explore the career path for Technical Support Engineer
System Administrator
System Administrators manage and maintain computer systems. This course can help you build a foundation in event stream processing, which is a valuable skill for System Administrators who work with real-time systems. The course will teach you how to use RNA to process event streams, how to monitor and troubleshoot event processing systems, and how to automate the deployment and management of event processing systems.
See salaries and explore the career path for System Administrator
Quality Assurance Analyst
Quality Assurance Analysts test and validate software and hardware products. This course can help you build a foundation in event stream processing, which is a valuable skill for Quality Assurance Analysts who work with real-time systems. The course will teach you how to use RNA to process event streams, how to test and validate event processing systems, and how to communicate with developers about event processing systems.
See salaries and explore the career path for Quality Assurance Analyst
Project Manager
Project Managers plan and manage projects. This course can help you build a foundation in event stream processing, which is a valuable skill for Project Managers who work on real-time projects. The course will teach you how to use RNA to process event streams, how to manage the development and deployment of event processing systems, and how to communicate with stakeholders about event processing systems.
See salaries and explore the career path for Project Manager
Compliance Analyst
Compliance Analysts ensure that organizations comply with laws and regulations. This course can help you build a foundation in event stream processing, which is a valuable skill for Compliance Analysts who work with real-time data. The course will teach you how to use RNA to process event streams, how to identify patterns and trends in data, and how to communicate your findings to stakeholders.
See salaries and explore the career path for Compliance Analyst
Technical Writer
Technical Writers create documentation for software and hardware products. This course can help you build a foundation in event stream processing, which is a valuable skill for Technical Writers who document real-time systems. The course will teach you how to use RNA to process event streams, how to document event processing systems, and how to communicate with users about event processing systems.
See salaries and explore the career path for Technical Writer

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Course image
Time
29 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:
  1. The Database Is Only Half Done
  2. Your AI Is Wrong! Lessons from Decision-making with Imperfect AI
  3. Multiparadigm Data Science: The Next Frontier in Decision Making
  4. Achieving 100% Adoption of Analytics in the Enterprise
  5. Data Skills: How Mondi Does Digital
  6. Building a Modern Data Architecture for the Data Driven Enterprise
  7. Harnessing the Power of Data to Improve Public Health
  8. Real-time Data Analytics at Scale Using Cloud Services
  9. Quick and Easy Access to Data through a Logical Data Warehouse Environment
  10. The Promise of Data Mastering at Scale
  11. Research vs. Reality in AI: Would You Trust Your Model with Your Life?
  12. Modernise Your IT Infrastructure for AI
  13. Scaling Machine Learning at Holiday Extras
  14. Why Do Some Machine Learning Models Fail?
  15. AI: Lessons Learned from the Front Line
  16. Machine Learning in Real-time: Predicting Taxi Fare in NYC
  17. How AI and Automated Machine Learning Will Disrupt the Organisational Alignment of Businesses
  18. Multi-model Powered Machine Learning
  19. ML in Production: Serverless and Painless
  20. Leveraging Data Virtualization to Maximize Advanced Analytics and Machine Learning Potential in Your Data Architecture
  21. Bring the Power of Watson to AWS and Azure: Watson Anywhere Powered by Cloud Pak for Data
  22. Modern Data Warehousing at Scale Using Azure Data Factory
  23. Balancing Performance, Scalability, and High Availability in Your Database Environment
  24. Enabling Microservices for Big Data On-demand in the Cloud
  25. From ETL to ELT: Building a Scalable Data Stack with SQL
  26. Data, Governance, and Freedom
  27. How to Get the Technology Stack Right for Your Business
  28. Data Modelling with Apache Cassandra
  29. How to Orchestrate Your ML Pipelines in Hybrid Cloud
  30. Full Stack Metadata Driven Thinking to Drive Business Agility
  31. Enhance Developer Experience Using OpenShift on Azure
  32. Fast Data for Faster Business
  33. Driving Faster, Smarter Actions on IoT Data with New Real-time Analytics Capabilities
  34. Introduction to Adept and How Big Data and Analytics Is Transforming the Connected Car Ecosystem
  35. Bridge to Cloud
  36. How to Train Your AI Models at Scale
  37. 99% of Your IoT Data Is Worthless, but Which 99%?
  38. Data Engineering in MagicLab: The Birth and Life of an Event
  39. RNA - Event Stream Processing Made Simple (viewing)
  40. When Data Leads, Transformation Follows - A Look at Qlik's Data Integration Portfolio
  41. Saving Energy in Homes with a Unified Approach to Data and AI
  42. Building Stream Processing Applications with Apache Kafka Using KSQL
  43. Real-world, Real-time Digital Transformation
  44. Machine Data in Industry 4.0: How to Handle It Better
  45. Why CockroachDB in the Kindred Platform?
  46. The Hardest Part of AI & Analytics Is Not AI, It Is Data Management
  47. Effective Cloud Migration Strategies for Your Modern Data Applications
  48. Snowflake? Why Should I Care?
  49. The Future of Business Intelligence Isn't a Tool
  50. AI-driven Retail for the 21st Century
  51. The Next Generation of Data Architecture
  52. Modern Enterprise Data Engineering
  53. Taking Control of User Analytics with Snowplow
  54. Flex Your Data(Ops) Muscles
  55. You Love Big Data, so Does R
  56. Building Predictive Maintenance Solutions
  57. Quickly, Codelessly Connect Any Application to Any REST API
  58. Rethinking Data Warehouse Modernization in the Age of Hybrid Cloud/On-premise Data Warehouses
  59. From Waterfall to Agile – A Data Warehouse Modernisation Story
  60. Freeing up Engineering and Infrastructure Resources to Scale with DataOps
  61. Unit Testing with pytest
  62. Credit Card Fraud – Why the Database Matters
  63. Data Science at SEGA
  64. British Telecom: Data-driven Digital Transformation
  65. Using Cloud Solution Platforms to Drive Business Value and Cost Optimization
  66. Data Analytics & IoT Innovations at Bosch
  67. Converting the CDO to a Profit Centre
  68. Why Self-service Data Analytics Usually Fails & Ideas for Succeeding
  69. Governed Data Discovery
  70. Journey to Create a Great Analytic Culture
  71. Something Amazing for Everyone: Embracing Inclusive Design to Deliver Accessible Experiences
  72. Democratising Data – How We Built a Self-serve Data Platform
  73. Discover the “Why” You Didn't Know Existed
  74. Selecting Your Fantasy Premier League Team with Advanced Analytics
  75. Decouple Storage from Compute
  76. Data Skills: Building a Data Team Fit for a Data-driven Enterprise
  77. Consent, Compliance, and the Impact on Customer Experience
  78. AI & Communication: Meaningful Data from New Sources
  79. Real-time Personalised Customer Interaction at Scale
  80. Data: The Musical, with LW Theatres
  81. Self-service and Tableau Community at Lloyds Banking Group
  82. The Digital Hero’s Journey: Using Big Data to Uncover Business Value and Meaning at Work
  83. Using Location Intelligence to Place Solar Panels in Rwanda
  84. Embedding Intelligence into the Heart of Customer Operations
  85. The Art of Customer Conversations
  86. How to Build a Fully Autonomous Card Fraud Detection System
  87. At Last! The Real-time Customer Experience
  88. Data Privacy Mythbusting
  89. Demystifying Data – What They Don’t Tell You at Data School
  90. Optimizing Your Data Value Chain with Agile Data Management
  91. Data at SEGA Europe
  92. Keep Your Data Lake from Getting Hadooped
  93. Top 10 Privacy Tips & Tricks in Big Data
  94. Data Governance as a Customer Service
  95. 7 AI Quick Win Projects
  96. Delivering Value with Intelligent Data Governance
  97. The Culture Competition – Personalisation vs. Privacy
  98. DataOps for AI and Digital Transformation
  99. Big Data LDN: A GDPR Retrospective
  100. GDPR: A Sword Not a Shield
  101. Drive Business Growth While Satisfying GDPR and CCPA
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Delves into event stream processing, an important concept in big data
Led by an experienced professional in streaming technologies and real-time data
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