The world of information management has recently crossed boundaries of data and its volumes, technologies, and capabilities. All of these aspects are exciting to learn and implement, but which technologies should you choose for what problems? What answers are delivered from the most common frameworks? Should you build a platform or buy one? What skills are needed? If these common questions come to mind, come and join us for a fun-filled half-day discussion of evolving information technologies.
The course will be an introduction to several information technologies including Hadoop 3.0, NoSQL, Graph DB, GPU DB, and analytics. We will chat about Apache offerings such as NiFi, Kafka, Elastic, Tika, and Arrow, as well as Python, Scala, Go, R, Tensorflow, PyTorch, Keras, and more. We will discuss each segment of the equation from acquisition, storage, analytics, compute, and archiving of data. Security and cybersecurity will also be covered.
You Will Learn
- Technology landscape
- Data management and processing, including acquisition, storage, compute, analytics, and security
- Risks and pitfalls
- Segments to learn such as storyboarding, storytelling, virtualization, and visualization
- All attendees with a knowledge of databases