Stream Ingestion with Kafka & Kinesis

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In this presentation, you will learn:
1. Ingest data from Apache Kafka & Amazon Kinesis (index and configure Kafka source)
2. Index and configure Kafka & Kinesis source
3. Create and populate Kafka & Kinesis Source
4. Execute search and aggregation queries to expore ingested data
5. Quickwit's internals: Indexing Pipeline, Metastore API, Support for Distributed Queues, Scaling Indexer, and more.

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🕰️ TIMECODE :

0:00 Introduction
1:06 Indexing a file with Quickwit
2:15 Indexing pipeline
5:26 Source trait
6:10 DocBatch struct
6:41 Checkpoint API
8:17 Checkpoint Delta
11:47 Metastore API
12:29 Distributed queues
13:21 Distributed checkpoint
14:03 Kinesis source implementation
17:52 Scaling the indexer
20:39 Distributed indexing
21:15 Demo time
31:45 Q&A time

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Topics: indexing, ingesting, data, amazon kinesis, apache kafka, kafka topic, distributed queues, messaging queues, metastore, metadata, indexer, scaling indexes, indexes, index

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Hello, I've a Quickwit ec2 instance in account A, could I configure a Kinesis source from account B? Thanks for your time

DanielR-hp
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Feel free to ask your questions here and we will...ingest answers into them!

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