SREday Amsterdam 2024
Premiere 2024-11-21
Utilizing open-source software, we can easily build open-source IoT applications that run on commercial and enterprise hardware anywhere.
Zilliz
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.
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.
Let's build streaming pipelines that convert streaming events into prompts and call LLMs and process the results.
Cloudera
Let's build streaming pipelines that convert streaming events into prompts, call LLMs, and process the results.
Let's enhance real-time streaming pipelines with smart Python code. Adding code for vector databases 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.
Project Elevate
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.
StreamNative
The easy way to build and scale machine learning apps.
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...
I will get you started with real-time cloud native streaming programming with Java, Golang, Python and Apache NiFi.
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...
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...
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