#StreamProcessing

[excelworld]

🌊 Streaming Starts Here: Spark Structured Streaming Sources

Q: What are the types of streaming sources that Spark Structured Streaming can read from?

✅ A: Spark Structured Streaming can ingest data from: 🔹 Network ports (e.g., socket streams) 🔹 Real-time message brokers (like Kafka, Azure Event Hubs) 🔹 File system locations (e.g., new files in cloud storage or local directories)

⚡ This flexibility allows you to build powerful, scalable pipelines for both real-time analytics and event-driven applications.

💬 What’s your go-to source for streaming data in Spark? Let’s exchange experiences in the comments!

[damilola-doodles]

📌Project Title: Real-Time Streaming Analytics Engine for High-Frequency Trading Signal Extraction.🔴

ai-ml-ds-hft-stream-004 Filename: real_time_streaming_analytics_for_hft_signal_extraction.py Timestamp: Mon Jun 02 2025 19:11:39 GMT+0000 (Coordinated Universal Time) Problem Domain:Quantitative Finance, Algorithmic Trading (High-Frequency Trading – HFT), Real-Time Analytics, Stream Processing, Deep Learning for Time Series. Project Description:This project constructs an advanced,…

[dammyanimation]

📌Project Title: Real-Time Streaming Analytics Engine for High-Frequency Trading Signal Extraction.🔴

ai-ml-ds-hft-stream-004 Filename: real_time_streaming_analytics_for_hft_signal_extraction.py Timestamp: Mon Jun 02 2025 19:11:39 GMT+0000 (Coordinated Universal Time) Problem Domain:Quantitative Finance, Algorithmic Trading (High-Frequency Trading – HFT), Real-Time Analytics, Stream Processing, Deep Learning for Time Series. Project Description:This project constructs an advanced,…

[damilola-ai-automation]

📌Project Title: Real-Time Streaming Analytics Engine for High-Frequency Trading Signal Extraction.🔴

ai-ml-ds-hft-stream-004 Filename: real_time_streaming_analytics_for_hft_signal_extraction.py Timestamp: Mon Jun 02 2025 19:11:39 GMT+0000 (Coordinated Universal Time) Problem Domain:Quantitative Finance, Algorithmic Trading (High-Frequency Trading – HFT), Real-Time Analytics, Stream Processing, Deep Learning for Time Series. Project Description:This project constructs an advanced,…

[damilola-warrior-mindset]

📌Project Title: Real-Time Streaming Analytics Engine for High-Frequency Trading Signal Extraction.🔴

ai-ml-ds-hft-stream-004 Filename: real_time_streaming_analytics_for_hft_signal_extraction.py Timestamp: Mon Jun 02 2025 19:11:39 GMT+0000 (Coordinated Universal Time) Problem Domain:Quantitative Finance, Algorithmic Trading (High-Frequency Trading – HFT), Real-Time Analytics, Stream Processing, Deep Learning for Time Series. Project Description:This project constructs an advanced,…

[damilola-moyo]

📌Project Title: Real-Time Streaming Analytics Engine for High-Frequency Trading Signal Extraction.🔴

ai-ml-ds-hft-stream-004 Filename: real_time_streaming_analytics_for_hft_signal_extraction.py Timestamp: Mon Jun 02 2025 19:11:39 GMT+0000 (Coordinated Universal Time) Problem Domain:Quantitative Finance, Algorithmic Trading (High-Frequency Trading – HFT), Real-Time Analytics, Stream Processing, Deep Learning for Time Series. Project Description:This project constructs an advanced,…

[pythonjobsupport]

System design basics: Real-time data processing

realtimedataprocessing #streamprocessing #dataprocessing #systemdesigntips #systemdesign #computerscience … source

[ultraemmathompson]

Data Visualization Tools - The Real-Time dashboard displays the status of metrics and KPIs for a pipeline. Integrate real-time and historical data with offline analytics and display onto a single screen.

[clemensv]

Check out the second part of my "Fraud-Detection with @ApacheFlink" case study series to learn how to use Flink's broadcast mechanism to dynamically update application logic at runtime.#streamprocessing #apacheflinkhttps://t.co/rMN6XQP68d pic.twitter.com/qtoUz93ZoV

— Alexander Fedulov (@alex_fedulov) March 24, 2020

[excelworld]

🎛️ Getting to Know the Event Stream Editor in Microsoft Fabric

Q: What’s the main editor in Event Stream used for?

✅ A: It’s your control center for real-time data! You can: 🔹 Establish sources (like IoT or logs) and destinations (Lakehouse, KQL, Power BI) 🔹 View data in-flight as it streams 🔹 Capture, transform, and route events using a no-code interface

⚡ Whether you're building real-time dashboards or automated responses, this editor makes streaming data pipelines visual and intuitive.

💬 What’s your first impression of the Event Stream experience in Fabric? Share your use case or feedback below!

[damilola-doodles]

Project Title:High-Frequency Trading Signal Extraction through Real-Time Tick Data Aggregation using Pandas, Kafka, and PyTorch.

Sea Ice Patterns by NASA Goddard Photo and Video is licensed under CC-BY 2.0 # Project Title: # High-Frequency Trading Signal Extraction through Real-Time Tick Data Aggregation using Pandas, Kafka, and PyTorch import pandas as pd import numpy as np from kafka import KafkaConsumer import json import torch import torch.nn as nn import torch.optim as optim from datetime import datetime # Kafka…

[dammyanimation]

Project Title:High-Frequency Trading Signal Extraction through Real-Time Tick Data Aggregation using Pandas, Kafka, and PyTorch.

Sea Ice Patterns by NASA Goddard Photo and Video is licensed under CC-BY 2.0 # Project Title: # High-Frequency Trading Signal Extraction through Real-Time Tick Data Aggregation using Pandas, Kafka, and PyTorch import pandas as pd import numpy as np from kafka import KafkaConsumer import json import torch import torch.nn as nn import torch.optim as optim from datetime import datetime # Kafka…

[damilola-ai-automation]

Project Title:High-Frequency Trading Signal Extraction through Real-Time Tick Data Aggregation using Pandas, Kafka, and PyTorch.

Sea Ice Patterns by NASA Goddard Photo and Video is licensed under CC-BY 2.0 # Project Title: # High-Frequency Trading Signal Extraction through Real-Time Tick Data Aggregation using Pandas, Kafka, and PyTorch import pandas as pd import numpy as np from kafka import KafkaConsumer import json import torch import torch.nn as nn import torch.optim as optim from datetime import datetime # Kafka…

[damilola-warrior-mindset]

Project Title:High-Frequency Trading Signal Extraction through Real-Time Tick Data Aggregation using Pandas, Kafka, and PyTorch.

Sea Ice Patterns by NASA Goddard Photo and Video is licensed under CC-BY 2.0 # Project Title: # High-Frequency Trading Signal Extraction through Real-Time Tick Data Aggregation using Pandas, Kafka, and PyTorch import pandas as pd import numpy as np from kafka import KafkaConsumer import json import torch import torch.nn as nn import torch.optim as optim from datetime import datetime # Kafka…

[damilola-moyo]

Project Title:High-Frequency Trading Signal Extraction through Real-Time Tick Data Aggregation using Pandas, Kafka, and PyTorch.

Sea Ice Patterns by NASA Goddard Photo and Video is licensed under CC-BY 2.0 # Project Title: # High-Frequency Trading Signal Extraction through Real-Time Tick Data Aggregation using Pandas, Kafka, and PyTorch import pandas as pd import numpy as np from kafka import KafkaConsumer import json import torch import torch.nn as nn import torch.optim as optim from datetime import datetime # Kafka…

[sqlstream]

Migrate from from relational to @MongoDB with #streamingSQL. https://t.co/zufod0uJgO. #streamprocessing #datamigration #relational

Migrate from from relational to @MongoDB with #streamingSQL. https://t.co/zufod0uJgO. #streamprocessing #datamigration #relational

— sqlstream (@SQLstream) October 9, 2017

from Twitter https://twitter.com/SQLstream