ODSC - Open Data Science

FEBRUARY 6, 2024

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

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

AWS Machine Learning Blog

NOVEMBER 3, 2023

m How it’s implemented In our quest to accurately determine shot speed during live matches, we’ve implemented a cutting-edge solution using Amazon Managed Streaming for Apache Kafka (Amazon MSK). He is passionate about enabling customers on their data and artificial intelligence (AI) journey to the cloud.

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AWS Apache Kafka Data Scientist Data Science 108

Pickl AI

SEPTEMBER 18, 2024

Data in Motion Technologies like Apache Kafka facilitate real-time processing of events and data, allowing Netflix to respond swiftly to user interactions and operational needs. Data at Rest This includes storage solutions such as S3 Data Warehouse and Cassandra. 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

JULY 25, 2024

Enhanced Data Utilisation Effective ingestion unlocks the full potential of data by making it available for advanced analytics, machine learning, and artificial intelligence applications, driving innovation and business growth. Apache Kafka An open-source platform designed for real-time data streaming.

Apache Kafka 52

Apache Kafka Data Lakes Data Warehouse Data Quality 52

AWS Machine Learning Blog

OCTOBER 9, 2024

Customers can use the CloudFormation template to bring up an application stack that receives time-series data from an Amazon Managed Streaming for Apache Kafka (Amazon MSK) streaming source and performs near-real-time anomaly detection in the streaming data.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

It initially sources input time series data from Amazon Managed Streaming for Apache Kafka (Amazon MSK) using this live stream for model training. The application, once deployed, constructs an ML model using the Random Cut Forest (RCF) algorithm. Post-training, the model continues to process incoming data points from the stream.

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ODSC - Open Data Science

JULY 22, 2023

Leverage Compound Sparsity to Achieve the Fastest Inference Performance on CPUs: Damian Bogunowicz | Neural Magic and Konstantin Gulin | Machine Learning Engineer | Neural Magic Apache Kafka for Real-Time Machine Learning Without a Data Lake: Kai Waehner | Global Field CTO | Author, International Speaker Time Series Forecasting for Managers — All Forecasts (..)

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Apache Kafka Machine Learning Machine Learning Data Science 52

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.

Data Lakes 52

Data Lakes ML ML Analytics 52

ODSC - Open Data Science

JULY 14, 2023

The session participants will learn the theory behind compound sparsity, state-of-the-art techniques, and how to apply it in practice using the Neural Magic platform.

Machine Learning 52

Machine Learning Machine Learning Apache Kafka Data Science 52

AWS Machine Learning Blog

MARCH 30, 2023

To ensure real-time updates of ball recovery times, we have implemented Amazon Managed Streaming for Apache Kafka (Amazon MSK) as a central solution for data streaming and messaging. This allows for seamless communication of positional data and various outputs of Bundesliga Match Facts between containers in real time.

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AWS Machine Learning Machine Learning Apache Kafka 83

AWS Machine Learning Blog

OCTOBER 9, 2024

I am currently using Apache Kafka. The #customerwork Slack channel is being used to communicate about an upcoming customer engagement, as shown in the following figure. Post the first question to Amazon Q Business. Can you list high level steps involved in migration to Amazon MSK?

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AWS Apache Kafka Data Scientist Database Administration 120

Pickl AI

OCTOBER 21, 2024

In response, Twitter has implemented various solutions, including Apache Kafka, a distributed streaming platform that helps manage the data flow from user interactions. Using Kafka, Twitter can effectively handle high-throughput data streams, enabling users to receive timely notifications and updates.

Database 52

Database Apache Kafka Machine Learning Machine Learning 52

AWS Machine Learning Blog

MARCH 30, 2023

For every xSaves prediction, it produces a message with the prediction as a payload, which then gets distributed by a central message broker running on Amazon Managed Streaming for Apache Kafka (Amazon MSK). The information also gets stored in a data lake for future auditing and model improvements.

Machine Learning 81

Machine Learning Machine Learning AWS ML 81

AWS Machine Learning Blog

JANUARY 6, 2023

Then the events are ingested into TR’s centralized streaming platform, which is built on top of Amazon Managed Streaming for Kafka (Amazon MSK). Amazon MSK makes it easy to ingest and process streaming data in real time with fully managed Apache Kafka.

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ODSC - Open Data Science

OCTOBER 9, 2024

Efficient Incremental Processing with Apache Iceberg and Netflix Maestro Dimensional Data Modeling in the Modern Era Building Big Data Workflows: NiFi, Hive, Trino, & Zeppelin An Introduction to Data Contracts From Data Mess to Data Mesh — Data Management in the Age of Big Data and Gen AI Introduction to Containers for Data Science / Data Engineering (..)

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Apache Kafka AI AI Machine Learning 40

Pickl AI

AUGUST 9, 2024

Data Streaming Learning about real-time data collection methods using tools like Apache Kafka and Amazon Kinesis. Future Trends Exploring emerging trends in Big Data, such as the rise of edge computing, quantum computing, and advancements in artificial intelligence.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

DECEMBER 2, 2024

Real-time processing allows organisations to make timely decisions based on current data rather than relying on historical information.Technologies enabling real-time analytics include: Stream Processing Frameworks: Tools like Apache Kafka facilitate the continuous ingestion and processing of streaming data.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

The MLOps Blog

AUGUST 11, 2023

Apache Kafka, Amazon Kinesis) 2 Data Preprocessing (e.g., Today different stages exist within ML pipelines built to meet technical, industrial, and business requirements. This section delves into the common stages in most ML pipelines, regardless of industry or business function. 1 Data Ingestion (e.g.,

ML 52

ML ML Machine Learning Machine Learning 52

Pickl AI

DECEMBER 4, 2024

The rise of advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML) , and Big Data analytics is reshaping industries and creating new opportunities for Data Scientists. Apache Kafka), organisations can now analyse vast amounts of data as it is generated. Here are five key trends to watch.

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Data Science Data Scientist Machine Learning Machine Learning 52