ODSC - Open Data Science

JUNE 1, 2023

We’re going to assume that the pizza service already captures orders in Apache Kafka and is also keeping a record of its customers and the products that they sell in MySQL. This all looks like it’s working well, so let’s look at how to ingest those events into Apache Pinot.

Analytics 98

Analytics Analytics Apache Kafka Data Science 98

Pickl AI

JULY 25, 2024

From extracting information from databases and spreadsheets to ingesting streaming data from IoT devices and social media platforms, It’s the foundation upon which data-driven initiatives are built. Apache Kafka An open-source platform designed for real-time data streaming. Data Lakes allow for flexible analysis.

Apache Kafka 52

Apache Kafka Data Lakes Data Warehouse Data Quality 52

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

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. A Lambda function retrieves all recovery times from the relevant Kafka topic and stores them in an Amazon Aurora Serverless database.

AWS 102

AWS Machine Learning Machine Learning Apache Kafka 102

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.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

AWS Machine Learning Blog

OCTOBER 9, 2024

Configure your Slack workspace You will create one user for each of the following roles: Administrator , Data scientist , Database administrator , Solutions architect and Generic. I am currently using Apache Kafka. See Setting up for Amazon Q Business for more information. Post the first question to Amazon Q Business.

AWS 130

AWS Apache Kafka Data Scientist Database Administration 130

Pickl AI

AUGUST 9, 2024

Variety It encompasses the different types of data, including structured data (like databases), semi-structured data (like XML), and unstructured formats (such as text, images, and videos). Understanding the differences between SQL and NoSQL databases is crucial for students. Once data is collected, it needs to be stored efficiently.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

DECEMBER 2, 2024

This includes structured data (like databases), semi-structured data (like XML files), and unstructured data (like text documents and videos). In-Memory Databases: Databases such as Redis store data in memory for lightning-fast access and processing speeds. Variety Variety indicates the different types of data being generated.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 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 104

Machine Learning Machine Learning AWS ML 104

The MLOps Blog

AUGUST 11, 2023

Apache Kafka, Amazon Kinesis) 2 Data Preprocessing (e.g., The exploration of common machine learning pipeline architecture and patterns starts with a pattern found in not just machine learning systems but also database systems, streaming platforms, web applications, and modern computing infrastructure. 1 Data Ingestion (e.g.,

ML 52

ML ML Machine Learning Machine Learning 52