Data Science Dojo

JULY 24, 2023

Stream Processing with Distributed Systems Stream processing is a data processing technique that involves real-time data ingestion, analysis, and action on data as it flows through the system.

Big Data 195

Big Data Big Data Data Engineer Data Engineering 195

ODSC - Open Data Science

FEBRUARY 6, 2024

Spark offers a versatile range of functionalities, from batch processing to stream processing, making it a comprehensive solution for complex data challenges. Apache Kafka For data engineers dealing with real-time data, Apache Kafka is a game-changer. Interested in attending an ODSC event?

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

ODSC - Open Data Science

JULY 22, 2023

The week was filled with engaging sessions on top topics in data science, innovation in AI, and smiling faces that we haven’t seen in a while. Expo Hall ODSC events are more than just data science training and networking events. You can read the recap here and watch the full keynote here. What’s next?

Apache Kafka 52

Apache Kafka Machine Learning Machine Learning Data Science 52

AWS Machine Learning Blog

APRIL 19, 2023

Streaming ingestion – An Amazon Kinesis Data Analytics for Apache Flink application backed by Apache Kafka topics in Amazon Managed Streaming for Apache Kafka (MSK) (Amazon MSK) calculates aggregated features from a transaction stream, and an AWS Lambda function updates the online feature store.

ML 98

ML ML Apache Kafka SQL 98

ODSC - Open Data Science

JULY 14, 2023

Time Series Forecasting for Managers — All Forecasts Are Wrong but Some Are Useful Tanvir Ahmed Shaikh | Data Strategist (Director) | Genentech, Inc Time series forecasting remains an under-appreciated technique in data science education, often overshadowed by more popular machine learning methods.

Machine Learning 52

Machine Learning Machine Learning Apache Kafka Data Science 52

Pickl AI

SEPTEMBER 18, 2024

Read More: How Airbnb Uses Big Data and Machine Learning to Offer World-Class Service Netflix’s Big Data Infrastructure Netflix’s data infrastructure is one of the most sophisticated globally, built primarily on cloud technology. petabytes of data. What Technologies Does Netflix Use for Its Big Data Infrastructure?

Big Data 52

Big Data Big Data Apache Kafka Big Data Analytics 52

Pickl AI

NOVEMBER 4, 2024

Additionally, Data Engineers implement quality checks, monitor performance, and optimise systems to handle large volumes of data efficiently. Differences Between Data Engineering and Data Science While Data Engineering and Data Science are closely related, they focus on different aspects of data.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

DagsHub

APRIL 7, 2024

Image generated with Midjourney In today’s fast-paced world of data science, building impactful machine learning models relies on much more than selecting the best algorithm for the job. Data scientists and machine learning engineers need to collaborate to make sure that together with the model, they develop robust data pipelines.

Machine Learning 59

Machine Learning Machine Learning ML ML 59

Pickl AI

JULY 24, 2023

Online Gaming: Online gaming platforms require real-time data ingestion to handle large-scale events and provide a seamless experience for players. Real-time data enables immediate updates to players’ positions, scores, and game state.

Internet of Things 52

Internet of Things Apache Kafka ETL Azure 52

Pickl AI

JULY 20, 2023

Top 15 Data Analytics Projects in 2023 for Beginners to Experienced Levels: Data Analytics Projects allow aspirants in the field to display their proficiency to employers and acquire job roles. Diagnostic Analytics Projects: Diagnostic analytics seeks to determine the reasons behind specific events or patterns observed in the data.

Analytics 40

Analytics Analytics Big Data Big Data 40

Pickl AI

AUGUST 9, 2024

Data Streaming Learning about real-time data collection methods using tools like Apache Kafka and Amazon Kinesis. Students should understand the concepts of event-driven architecture and stream processing. Once data is collected, it needs to be stored efficiently.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Data Science Dojo

MARCH 9, 2023

Data Science Dojo is offering Memphis broker for FREE on Azure Marketplace preconfigured with Memphis, a platform that provides a P2P architecture, scalability, storage tiering, fault-tolerance, and security to provide real-time processing for modern applications suitable for large volumes of data. Are you already feeling tired?

Apache Kafka 323

Apache Kafka Azure Data Science Data Pipeline 323

AWS Machine Learning Blog

MARCH 30, 2023

How Keeper Efficiency is implemented This Bundesliga Match Fact consumes both event and positional data. Positional data is information gathered by cameras on the positions of the players and ball at any moment during the match (x-y coordinates), arriving at 25Hz. Tareq Haschemi is a consultant within AWS Professional Services.

Machine Learning 105

Machine Learning Machine Learning AWS ML 105

ODSC - Open Data Science

MAY 24, 2023

Streaming Machine Learning Without a Data Lake The combination of data streaming and ML enables you to build one scalable, reliable, but also simple infrastructure for all machine learning tasks using the Apache Kafka ecosystem. Here’s why. Register for free! Here’s what you can expect from ODSC Europe.

Data Lakes 52

Data Lakes ML ML Analytics 52

Pickl AI

MARCH 19, 2025

Tools like Python, SQL, Apache Spark, and Snowflake help engineers automate workflows and improve efficiency. Learning these tools is crucial for building scalable data pipelines. offers Data Science courses covering these tools with a job guarantee for career growth. How is Data Engineering Different from Data Science?

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

AWS Machine Learning Blog

FEBRUARY 7, 2025

The S3 bucket is configured in such a way that it forwards (2) all events into EventBridge. Additionally, it creates an EventBridge rule (4) to forward the S3 event from the event bus into the SQS processing queue. The central place for Knative Eventing is the Knative broker (7).

Analytics 72

Analytics Analytics AWS Clustering 72