💊 DATA Pill #130 - Top 7 Alternatives to Apache Flink, How to run data science projects

Hi,

Here’s your weekly dose of DATA Pill! Check out the latest insights on real-time analytics, scalable data platforms, practical data science project tips, and hands-on deployment guides. Let’s dive in:

ARTICLES

Top 7 Alternatives to Apache Flink | 6 min | Real-Time Analytics | Bobur Umurzokov | Personal Blog

This article covers the top 7 alternatives to Apache Flink—GlassFlow, Spark, KsqlDB, Arroyo, RisingWave, Quix, and Bytewax—highlighting comparable stream processing features and solutions to Flink’s challenges.

Stop Thinking in Data Pipelines, Think in Data Platforms: Introducing the Analytics Engineering Framework | 7 min | Data Platforms | Oscar Pulido | Google Cloud - Community

An introduction to the Analytics Engineering Framework (AEF), a scalable approach to building data platforms on Google Cloud. AEF solves inefficiencies by focusing on platforms over pipelines and helps teams maintain robust data workflows.

How to run data science projects | 6 min | ML | Dzidas Martinaitis | Personal Blog

Dzidas Martinaitis shares his approach to running practical data science projects, from defining problems to setting success metrics, which he has built from nine years of experience at Amazon and AWS.

TUTORIALS

Data Design Pattern: Medallion Architecture - is it really a new way of doing things? | 6 min | Data Lakehouse | Daniel Sahal | GetInData | Part of Xebia Blog

In this blog post, you will learn what medallion architecture is, the characteristics of each layer of this pattern and how it differs from the classic data warehouse layers. 

In MORE LINKS you will read:

• Deploy Gemma2 with multiple LoRA adapters with TGI DLC on GKE
• Exposing dbt models in Looker

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PODCAST

Data-driven Excellence: AI and Analytics in Action | 33 min | AI | Q McCallum, Anna Anisin, Matthew Denesuk, Jaime Russ | Data Science Salon Podcast

Listen as industry experts discuss using a Center of Excellence model to drive AI and data strategies, with insights from Royal Caribbean and Ryder System leaders.

DATA TUBE

NVIDIA NIM: Deploying Generative AI at the Speed of Light | 43 min | Gen AI | Mateusz Szczęsny | MOPS Community

Learn how NVIDIA's NIM microservices optimize AI model deployment with cloud-native speed and efficiency, seamlessly integrating on-premise and cloud infrastructure.

In MORE LINKS you will watch:

• Watch out! Security danger with Azure Databricks Delta Tables

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CONFS, EVENTS AND MEETUPS

FIRESIDE CHAT: How to Build a High-Performance Fraud Detection System | 20th November | Online

Explore how North built an in-house scalable, real-time fraud detection system that replaced a third-party solution to better adapt to new fraud patterns. Join Ben Orkin, VP of Engineering - MLOps, for insights on North's technical decisions, business drivers, and the future of fraud detection innovation.

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Adam from the GetInData | Part of Xebia