Precisely

DECEMBER 28, 2023

More than ever, advanced analytics, ML, and AI are providing the foundation for innovation, efficiency, and profitability. One very popular platform is Apache Kafka , a powerful open-source tool used by thousands of companies. But in all likelihood, Kafka doesn’t natively connect with the applications that contain your data.

Data Pipeline 91

Data Pipeline Apache Kafka Big Data Big Data 91

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). We’ve implemented an AWS Lambda function with the specific task of retrieving the calculated shot speed from the relevant Kafka topic.

AWS 131

AWS Apache Kafka Data Scientist Data Science 131

Alation

AUGUST 4, 2022

New Big Data Concepts vs Cloud Delivered Databases? So, what has the emergence of cloud databases done to change big data? Spark, Tensorflow, Apache Kafka, et cetera, are all out found in cloud databases,” points out Jones. To improve ML and Ethics, data literacy training is critical.

Big Data 95

Big Data Big Data Apache Kafka Data Lakes 95

IBM Journey to AI blog

NOVEMBER 29, 2023

Aggregates as predictive insights : Aggregates, which consolidate data from various sources across your business environment, can serve as valuable predictors for machine learning (ML) algorithms. Event processing helps continuously update and refine our understanding of ongoing business scenarios.

Artificial Intelligence 105

Artificial Intelligence Artificial Intelligence Apache Kafka AI 105

DagsHub

OCTOBER 23, 2024

Managing unstructured data is essential for the success of machine learning (ML) projects. This article will discuss managing unstructured data for AI and ML projects. You will learn the following: Why unstructured data management is necessary for AI and ML projects. How to properly manage unstructured data.

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 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

Mlearning.ai

AUGUST 4, 2023

The focus of this investigation revolves around understanding their industry distribution, age demographics, developer types, and their adoption of various programming languages, databases, platforms, web frameworks, miscellaneous technologies, technical tools, new collaboration tools, and AI-powered search tools. NET Framework (1.0–4.8)’

Database 52

Database Apache Kafka SQL AI 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.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

The MLOps Blog

FEBRUARY 5, 2023

There are a number of tools that can help with streaming data collection and processing, some popular ones include: Apache Kafka : An open-source, distributed event streaming platform that can handle millions of events per second. It can be used to collect, store, and process streaming data in real-time. Happy Learning!

Machine Learning 72

Machine Learning Machine Learning Data Pipeline Apache Kafka 72

Pickl AI

JULY 8, 2024

Database Extraction: Retrieval from structured databases using query languages like SQL. Common options include: Relational Databases: Structured storage supporting ACID transactions, suitable for structured data. NoSQL Databases: Flexible, scalable solutions for unstructured or semi-structured data.

Data Pipeline 52

Data Pipeline Data Quality Database Apache Kafka 52

Mlearning.ai

MAY 16, 2023

It is used to extract data from various sources, transform the data to fit a specific data model or schema, and then load the transformed data into a target system such as a data warehouse or a database. The events can be published to a message broker such as Apache Kafka or Google Cloud Pub/Sub.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

The MLOps Blog

MARCH 15, 2023

A typical data pipeline involves the following steps or processes through which the data passes before being consumed by a downstream process, such as an ML model training process. If a typical ML project involves standard pre-processing steps – why not make it reusable? Relational database connectors are available.

Data Pipeline 59

Data Pipeline ETL SQL Data Quality 59

The MLOps Blog

AUGUST 11, 2023

There comes a time when every ML practitioner realizes that training a model in Jupyter Notebook is just one small part of the entire project. At that point, the Data Scientists or ML Engineers become curious and start looking for such implementations. What are ML pipeline architecture design patterns?

ML 52

ML ML Machine Learning Machine Learning 52

AWS Machine Learning Blog

MARCH 30, 2023

The result is a machine learning (ML)-powered insight that allows fans to easily evaluate and compare the goalkeepers’ proficiencies. An ML model is trained through Amazon SageMaker , using data from four seasons of the first and second Bundesliga, encompassing all shots that landed on target (either resulting in a goal or being saved).

Machine Learning 104

Machine Learning Machine Learning AWS ML 104

phData

SEPTEMBER 27, 2024

It often involves specialized databases designed to handle this kind of atomic, temporal data. Technologies like Apache Kafka, often used in modern CDPs, use log-based approaches to stream customer events between systems in real-time. It’s precise but can impact database performance.

Data Modeling 52

Data Modeling Data Models Apache Kafka Data Lakes 52