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Maximizing your event-driven architecture investments: Unleashing the power of Apache Kafka with IBM Event Automation

IBM Journey to AI blog

As IDC stated: as of 2022, 36% of IT leaders identified the use of technologies to achieve real-time decision-making as critical for business success, and 45% of IT leaders reported a general shortage of skilled personnel for real-time use cases. However, Apache Kafka isn’t always enough.

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Exploring Database Management Systems in Social Media Giants

Pickl AI

Summary: This article highlights the significance of Database Management Systems in social media giants, focusing on their functionality, types, challenges, and future trends that impact user experience and data management. billion in 2022 and is projected to surge to around USD 152.36

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Bundesliga Match Facts Shot Speed – Who fires the hardest shots in the Bundesliga?

AWS Machine Learning Blog

We analyzed around 215 matches from the Bundesliga 2022–2023 season. 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). fast shots. Example 1 Measured with top shot speed 118.43

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Bundesliga Match Fact Ball Recovery Time: Quantifying teams’ success in pressing opponents on AWS

AWS Machine Learning Blog

This style of play is also evident when you look at the ball recovery times for the first 24 match days in the 2022/23 season. Let’s look at certain games played by Cologne in the 2022/23 season. A Lambda function retrieves all recovery times from the relevant Kafka topic and stores them in an Amazon Aurora Serverless database.

AWS 101
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Discover the Most Important Fundamentals of Data Engineering

Pickl AI

million in 2022, is projected to grow at a CAGR of 18.15% , reaching USD 140,808.0 They are responsible for building and maintaining data architectures, which include databases, data warehouses, and data lakes. Data Modelling Data modelling is creating a visual representation of a system or database. million by 2028.

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Bundesliga Match Fact Keeper Efficiency: Comparing keepers’ performances objectively using machine learning on AWS

AWS Machine Learning Blog

In 2022/23 so far, he has almost secured a clean sheet every other match for Die Schwarzgelben, despite the team’s inconsistency and often poor midfield performance. The contents of the Kafka messages then get written via an AWS Lambda function to an Amazon Aurora Serverless database to be presented in an Amazon QuickSight dashboard.

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ML Pipeline Architecture Design Patterns (With 10 Real-World Examples)

The MLOps Blog

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. 2022, January 18).

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