DATA Pill #092 - MLFlow iceberg, Meta ?? Python

Hi,

Love, love, love.

Why does Meta love Python?

Why do we love to find the most excellent content for you?

Even if MLFlow has its iceberg, our hearts are warm.

All is about love data. Take your seat and enjoy the newest Data lovePILL.

ARTICLES

What Dagster Believes About Data Platforms | 11 min | Data Engineering | Sandy Ryza | Dagster Blog

At Dagster Labs, their mission is to help organizations build effective data platforms by embracing specific beliefs. In this post, they'll explore them and how they shape the design principles behind Dagster.

From Silos to Standardization: Leveraging DBT for a Democratized Data Framework | 8 min | Data Engineering | Abhishek Pathania | Urban Engineering

This blog explores the challenges encountered by various teams and Urban's journey in addressing them through a unified solution called the Common Computation Framework (CCF).

Comparing LangChain and LlamaIndex with 4 tasks | 10 min | LLM | Ming | Personal Blog

Let’s compare the two frameworks in completing four common tasks:

1. Connecting to a local LLM instance and building a chatbot.
2. Indexing local files and building a RAG system.
3. Combining the two above and making a chatbot with RAG capabilities.
4. Converting the chatbot into an agent so that it may use more tools and do simple reasoning.?

TUTORIALS

Unlocking LLM’s Potential with RAG: A Complete Guide from Basics to Advanced Techniques | Senthil E | 47 min | LLM | Level Up Coding

Read about how RAG works, how it helps LLMs, and why it’s so important for making computer programs smarter in understanding and using language.

In MORE LINKS you will read about: Advanced RAG using Llama Index, Visualize your RAG Data — EDA for Retrieval-Augmented Generation

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DATA TUBE

MLflow iceberg: from basics to hidden depths | 43 min | LLM | Marcin Zab?ocki | MOPS

A journey through MLflow, a favorite platform among MLOps practitioners. Just like an iceberg, MLflow has its visible features and a trove of powerful tools hidden beneath the surface. We'll explore everything from basics like metrics logging to nuanced deployment challenges and recent LLM features.??

In MORE LINKS you will read about: How Rivian builds real-time analytics from electric vehicles

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PODCAST

Meta loves Python | 38 min | Data Engineering | Pascal Hartig, Itamar Oren, Carl Meyer | Meta Tech Podcast

Meta engineers discuss their contributions to the latest Python release, including custom JITs, type system improvements, and faster comprehensions. They share insights on their collaboration with the Python community.

CONFS EVENTS AND MEETUPS

Radar - The Analytics Edition | Online | 21st March

Join RADAR: The Analytics Edition—a free digital event exploring transformative outcomes with business intelligence and analytics.

Agenda:

• A Tipping Point in Data Democratization
• The Art of Data Storytelling: Driving Impact with Analytics
• ChatGPT & Generative AI: Boon or Bane for Data Democratization?
• Scaling Data ROI: Driving Analytics Adoption Within Your Organization
• Building a Learning Culture for Analytics Functions
• From Data Governance to Data Discoverability: Building Trust in Data Within Your Organization

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