Opinion Analysis of News, Threaded Conversations, and User Generated Content
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Updated
Sep 19, 2024 - Java
Opinion Analysis of News, Threaded Conversations, and User Generated Content
Asgarde allows simplifying error handling with Apache Beam Java, with less code, more concise and expressive code.
Cloud-native Telco BSS hosted in GCP K8s with standalone Diameter to gRPC gateway. Rule Engine using Neo4j graphs. Analytics Events sent to GCP BigData (Dataflow+BigQuery) via PubSub. It's awesome!
Asgarde allows simplifying error handling with Apache Beam Python, with less code, more concise and expressive code.
Cloud Dataflow Tutorial for Beginners
Public source code for the Batch Processing with Apache Beam (Python) online course
Midgard is a wrapper on Beam Kotlin, allowing more concise and expressive code. It removes Beam boilerplate code and proposes more Functional Programming style
I got Google Cloud Certified. I have what it takes to leverage Google Cloud technology. Here my certification: https://www.credential.net/ee1bd2d6-fdb0-4037-8a8d-9afae3d79c86.
build streaming apps on spring cloud dataflow platform
Project showing a CI CD pipeline for Dataflow Java with Flex Template and Cloud Build
Cloud Dataflow pipeline that reads the file from Cloud Storage and processes and outputs in the memory store.
IIM-DEVOPS - (demo) Real-time Twitter's hashtags analytics... fully managed by Google Cloud
Realtime Meetup "Répondez, s'il vous plaît" (RSVPs) analytics built upon Apache-Beam - Streaming Processing
Cloud dataflow pipeline code that processes data from a cloud storage bucket, transforms it and stores in Google's highly scalable, reduced latency in-memory database, memorystore which is an implementation of Redis.
Working example of a real-time inference pipeline on GCP Cloud Dataflow
Efficient Python data pipeline leveraging Apache Beam and Google Cloud Dataflow to update a Bucket with data concerning daily prices of instruments extracted from BMF website, serving as input for other data pipelines. The code generates a dataflow template, which is then scheduled to run periodically using Cloud Scheduler + Cloud Functions.
ETL OnPremises Data to Google BigQuery using Google Cloud Data Flow via JDBC driver
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