IBM Journey to AI blog

AUGUST 29, 2024

The unique advantages of Apache Flink Apache Flink augments event streaming technologies like Apache Kafka to enable businesses to respond to events more effectively in real time. Integration: Integrates seamlessly with other data systems and platforms, including Apache Kafka, Spark, Hadoop and various databases.

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Apache Kafka Hadoop ETL Data Pipeline 45

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. Conclusion This post demonstrated how to build a robust real-time anomaly detection solution for streaming time series data using Managed Service for Apache Flink and other AWS services.

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AWS ML ML Apache Kafka 102

AWS Machine Learning Blog

MARCH 10, 2023

The same architecture applies if you use Amazon Managed Streaming for Apache Kafka (Amazon MSK) as a data streaming service. This approach allows you to react to the potentially fraudulent transactions in real time as you store each transaction in a database and inspect it before processing further.

Machine Learning 130

Machine Learning Machine Learning AWS Apache Kafka 130

IBM Journey to AI blog

NOVEMBER 29, 2023

IBM Event Automation is a fully composable solution, built on open technologies, with capabilities for: Event streaming : Collect and distribute raw streams of real-time business events with enterprise-grade Apache Kafka. Event endpoint management : Describe and document events easily according to the Async API specification.

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Artificial Intelligence Artificial Intelligence Apache Kafka AI 105

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.

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AWS Apache Kafka Data Scientist Data Science 113

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.

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Apache Kafka Data Lakes Data Warehouse Data Quality 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.

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ML ML Apache Kafka SQL 90

Pickl AI

SEPTEMBER 18, 2024

This blog explores how Netflix applies Big Data across its business operations, focusing on its infrastructure, content strategies, customer engagement, operational efficiency, marketing insights, security measures, and future challenges. Data at Rest This includes storage solutions such as S3 Data Warehouse and Cassandra.

Big Data 52

Big Data Big Data Apache Kafka Big Data Analytics 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. Learn more about this feature in the AWS Machine Learning blog. My connector is unable to sync.

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AWS Apache Kafka Data Scientist Database Administration 124

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.

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AWS Machine Learning Machine Learning Apache Kafka 87

Pickl AI

JULY 8, 2024

Summary: This blog explains how to build efficient data pipelines, detailing each step from data collection to final delivery. This blog explains how to build data pipelines and provides clear steps and best practices. Database Extraction: Retrieval from structured databases using query languages like SQL.

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Data Pipeline Data Quality Database Apache Kafka 52

Pickl AI

JULY 30, 2024

This blog delves into the fundamentals of Apache NiFi, its architecture, and how it can leverage for effective data flow management. What is Apache NiFi? Apache NiFi is a robust data integration tool that facilitates the automation of data flows between different systems.

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ETL Data Lakes Big Data Big Data 52

Pickl AI

AUGUST 9, 2024

This blog aims to provide a comprehensive overview of a typical Big Data syllabus, covering essential topics that aspiring data professionals should master. Understanding the differences between SQL and NoSQL databases is crucial for students. Businesses need to analyse data as it streams in to make timely decisions.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Dataversity

JANUARY 12, 2023

Open-source technologies will become even more prominent within enterprises’ data architecture over the coming year, driven by the stark budgetary advantages combined with some of the newest enterprise-friendly capabilities added to several solutions. Here are three predictions for the open-source data infrastructure space in 2023: 1.

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Apache Kafka Database 96

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.

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Machine Learning Machine Learning AWS ML 85

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.

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Machine Learning Machine Learning Data Pipeline Apache Kafka 72

The MLOps Blog

MARCH 15, 2023

Typical examples include: Airbyte Talend Apache Kafka Apache Beam Apache Nifi While getting control over the process is an ideal position an organization wants to be in, the time and effort needed to build such systems are immense and frequently exceeds the license fee of a commercial offering. Talend Free to use.

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Data Pipeline ETL SQL Data Quality 59

Dataversity

JUNE 30, 2023

In today’s fast-paced world, the concept of patience as a virtue seems to be fading away, as people no longer want to wait for anything. If Netflix takes too long to load or the nearest Lyft is too far, users are quick to switch to alternative options.

Analytics 52

Analytics Analytics Apache Kafka Database 52

The MLOps Blog

AUGUST 11, 2023

This blog will answer these questions by exploring the following: 1 What is pipeline architecture and design consideration, and what are the advantages of understanding it? Apache Kafka, Amazon Kinesis) 2 Data Preprocessing (e.g., References Netflix Tech Blog: Meson Workflow Orchestration for Netflix Recommendations Netflix.

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ML ML Machine Learning Machine Learning 52

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. Subscribe to Alation's Blog. You can] see that it works before going all-in.”.

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Big Data Big Data Apache Kafka Data Lakes 95

Pickl AI

DECEMBER 4, 2024

This blog explores the current state of Data Science, emerging trends, the role of generative AI, decision-making enhancements, ethical challenges, essential skills for future Data Scientists, and predictions for the next decade. Apache Kafka), organisations can now analyse vast amounts of data as it is generated.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

MARCH 19, 2025

In this blog, well explore the best data engineering tools that make data work easier, faster, and more reliable. Python, SQL, and Apache Spark are essential for data engineering workflows. Real-time data processing with Apache Kafka enables faster decision-making. What Does a Data Engineer Do?

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

AWS Machine Learning Blog

FEBRUARY 7, 2025

However, it lacked essential services required for machine learning (ML) applications, such as frontend and backend infrastructure, DNS, load balancers, scaling, blob storage, and managed databases. At that time, the application was deployed as a single monolithic container, which included Kafka and a database.

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Analytics Analytics AWS Clustering 66