Apache flink
1 like•529 views
Diego Pacheco is the principal software architect at Apache Flink, an open-source streaming dataflow engine for distributed computations over data streams. Flink supports both batch and stream processing with high throughput and low latency using Scala, Java, and Python. It provides capabilities for data distribution, communication, fault tolerance, and machine learning and graph processing using Gelly.
1 of 11
Download to read offline
More Related Content
PDF
Druid + Kafka: transform your data-in-motion to analytics-in-motion | Gian Me...HostedbyConfluentPPTX
IoT Data Streaming - Why MQTT and Kafka are a match made in heaven | Dominik ...HostedbyConfluentPDF
How a distributed graph analytics platform uses Apache Kafka for data ingesti...HostedbyConfluentWhat's hot (20)
PDF
Streaming Data in the Cloud with Confluent and MongoDB Atlas | Robert Walters...HostedbyConfluentPDF
DataOps Automation for a Kafka Streaming Platform (Andrew Stevenson + Spiros ...HostedbyConfluentPDF
Data in Motion: Building Stream-Based Architectures with Qlik Replicate & Kaf...HostedbyConfluentPDF
Distributed Data Storage & Streaming for Real-time Decisioning Using Kafka, S...HostedbyConfluentAd
Viewers also liked (6)
Ad
More from Diego Pacheco (20)
Recently uploaded (20)
PDF
AI-Cloud-Business-Management-Platforms-The-Key-to-Efficiency-Growth.pdfArtjoker Software Development CompanyAI-Cloud-Business-Management-Platforms-The-Key-to-Efficiency-Growth.pdfArtjoker Software Development Company
Apache flink
- 2. Streaming Dataflow Engine Data Distribution, Communication,Fault Tolerance, Distributed Computations over data streams Batch and Stream Scala, Java and Python ML and graph(Gelly) High Throughput and low latency