Cześć,
W ramach DataOps Polska zapraszamy na kolejne 4 wydarzenia!
**1.Introduction to Apache Pulsar **
Data: 21 Czerwca 2020 godzina 18:00
Język: Angielski
This talk will provide a simple introduction to the concepts behind Apache's Newest Pub-Sub Messaging Platform Pulsar. It will delve deeply into Pulsar's overall architecture and individual features, such as tiered-storage and serverless compute with Pulsar functions. Finally, I will provide guidance on which use cases are best suited to take full advantage of Apache Pulsar's many strengths.
2. Apache Kafka and ksqlDB in Action: Let's Build a Streaming Data Pipeline!
Data: 4 Sierpień 2020 godzina 18:00
Język: Angielski
In this talk, we’ll explain the architectural reasoning for Apache Kafka and the benefits of real-time integration, and we’ll build a streaming data pipeline using nothing but our bare hands, Kafka Connect, and ksqlDB.
Gasp as we filter events in real-time! Be amazed at how we can enrich streams of data with data from RDBMS! Be astonished at the power of streaming aggregates for anomaly detection!
3.Redis Overview by RedisLabs
Data: 18 Sierpień 2020 godzina 17:00
Język: Angielski
- Redis Introduction: High-Level Overview
- Redis Use Cases (Pub / Sub, Real-Time Inventory, Rate Limiting, Messaging, etc)
- Redis Modules (Graph, Search, TimeSeries, Bloom)
- Redis in Production
- Live Demonstration of Redis Enterprise in Action
- Questions & Answers*
4.Druid: the open source, performant, real-time, analytical datastore
Data: 1 Wrzesień 2020 godzina 18:00
Język: Angielski
Apache Druid (incubating) makes it faster and easier for businesses to democratise the data exploration experience on vast quantities of real-time and historical data. First, we will hear a sample of the exciting real-world examples of Druid (http://druid.io) in action, drawing attention to the technical and business problems Druid solves. In the second half, each of the components of an Apache Druid cluster is described, along with the data and query optimisations at its core, that unlock fresh, fast data for all.
Zapraszam w imieniu DataOps Polska!