Tim Spann

Conf42 Speaker profile

Conf42: Internet of Things (IoT) 2024

Building IoT Applications With Open Source

Utilizing open-source software, we can easily build open-source IoT applications that run on commercial and enterprise hardware anywhere.

Tim Spann

Zilliz

Conf42: Prompt Engineering 2024

Codeless Generative AI Pipelines: Prompt Automation

By utilizing a real-time streaming tool such as Apache NiFi, you can automate all of your prompt building and make data engineering for GenAI a snap.

Tim Spann

Zilliz

Conf42: Kube Native 2024

Unleashing the Potential of Cloud Native Open Source Vector Databases

The quick and easy way to run a true cloud native open source vector database for RAG, Semantic Search, Image Search and many more use cases the cloud native way.

Tim Spann

Zilliz

Conf42: Machine Learning 2024

Enriching Generative AI as Events in Real-Time Streaming Pipelines

Let's build streaming pipelines that convert streaming events into prompts and call LLMs and process the results.

Tim Spann

Cloudera

Conf42: Large Language Models (LLMs) 2024

Adding Generative AI to Real-Time Streaming Pipelines

Let's build streaming pipelines that convert streaming events into prompts, call LLMs, and process the results.

Tim Spann

Cloudera

Conf42: Python 2024

Building Apache NiFi 2.0 Python Processors

Let's enhance real-time streaming pipelines with smart Python code. Adding code for vector databases and LLM.

Tim Spann

Cloudera

Conf42: Python 2024

Using Apache NiFi, Apache Kafka, RisingWave, and Apache Iceberg with Stock Data and LLM

In this talk, we'll discuss how to use Apache NiFi, Apache Kafka, RisingWave, and Apache Iceberg to process and analyze stock data. We demonstrated the ingestion, processing, and analysis of stock data. Additionally, we illustrated how to use an LLM to generate predictions from the analyzed data.

Karin Wolok

Project Elevate

Tim Spann

Cloudera

Conf42: Internet of Things (IoT) 2023

Using the FLiPN Stack for Edge AI (Flink, NiFi, Pulsar)

Introducing the FLiPN stack which combines Apache Flink, Apache NiFi, Apache Pulsar and other Apache tools to build fast applications for IoT, AI, rapid ingest.

Tim Spann

Cloudera

David Kjerrumgaard

StreamNative

Conf42: Python 2023

Build ML Enhanced Event Streaming Apps with Python Microservices

The easy way to build and scale machine learning apps.

Tim Spann

StreamNative

David Kjerrumgaard

StreamNative

Conf42: DevOps 2023

Building Modern Data Streaming Apps with Python

In my session, I will show you some best practices I have discovered over the last seven years in building data streaming applications, including IoT, CDC, Logs, and more. In my modern approach, we utilize several open-source frameworks to maximize the best features of all. We often start with Apache NiFi as the orchestrator of streams flowing into Apache Pulsar. From there, we build streaming...

Tim Spann

StreamNative

Conf42: Kube Native 2022

Building Real-time Pulsar Apps on K8

I will get you started with real-time cloud native streaming programming with Java, Golang, Python and Apache NiFi.

Tim Spann

StreamNative

Conf42: Cloud Native 2022

Cloud Native Apache Pulsar Development 101 with Python

In this session I will get you started with real-time cloud native streaming programming with Java, Golang, Python and Apache NiFi. I will start off with an introduction to Apache Pulsar and setting up your first easy standalone cluster in docker. We will then go into terms and architecture so you have an idea of what is going on with your events. I will then show you how to produce and consume...

Tim Spann

StreamNative

Conf42: Machine Learning 2021

Hail Hydrate! From Stream to Lake

A cloud data lake that is empty is not useful to anyone. How can you quickly, scalably and reliably fill your cloud data lake with diverse sources of data you already have and new ones you never imagined you needed. Utilizing open source tools from Apache, the FLaNK stack enables any data engineer, programmer or analyst to build reusable modules with low or no code. In this talk we will utilize...

Tim Spann

StreamNative

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