?? DATA Pill #109 - Databricks LakeFlow, GKE + Gemma + Ollama = ?
I've packed this edition with excellent content!
We're diving into Databricks LakeFlow, a game-changer for data management, and the powerful combo of GKE, Gemma, and Ollama for flexible LLM deployment.
Plus, we'll cover the rise of real-time data, how to integrate Azure Databricks with Microsoft Fabric, and more.
Enjoy!
ARTICLES
6 Myths Preventing You from Embracing Real-Time Data | 5 min | Real-Time Data | Eric Sammer | decodable Blog
This text explores the rising importance of real-time data processing in today's businesses, similar to how cloud technology was once met with skepticism. It debunks common myths, showing how real-time data can improve customer experiences and operational efficiency. It highlights tools that make real-time data accessible and cost-effective for all businesses.
Integrating Azure Databricks and Microsoft Fabric | 12 min | Data Management | Piethein Strengholt | Personal Blog
This article explores the integration of Azure Databricks and Microsoft Fabric, two leading services in data engineering and self-service data usage. It examines five current options for combining these tools, discussing the pros and cons of each. Before diving into these options, the article explains why organizations benefit from using Azure Databricks and Microsoft Fabric together.
Real-Time Customer-Facing Reporting - Why Showing Users Data Sooner Rather than Later is Better | 7 min | Real-time analytics | Adam Kawa | GetInData | Part of Xebia Blog
Companies use real-time data to boost user engagement, retention, and decision-making. Examples include LinkedIn's content insights, Shopify's Live View, and Google Maps' traffic overlays, which improve customer experience and reduce support costs.
In MORE LINKS you will read about:
TOOL
Gravitino | Data Engineering
Gravitino is a high-performance, geo-distributed, and federated metadata lake. It manages the metadata directly in different sources, types, and regions. It also provides users with unified metadata access for data and AI assets.
NEWS
Introducing Databricks LakeFlow: A Unified, Intelligent Solution for Data Engineering | 3 min | Data Engineering | Databricks Blog
Databricks launched Databricks LakeFlow, a unified solution simplifying data engineering tasks from ingestion to orchestration. It features scalable data ingestion, automated real-time data pipelines, and advanced workflow orchestration to address complex data engineering challenges and improve reliability and efficiency.
TUTORIAL
Fine-tune Embedding models for Retrieval Augmented Generation (RAG) | 11 min | RAG | Philipp Schmid | Personal Blog
领英推荐
This blog explains how to fine-tune an embedding model for financial RAG applications using a synthetic dataset from the 2023 NVIDIA SEC Filing. It also explores the use of Matryoshka Representation Learning to improve efficiency. The main topics covered are:
In MORE LINKS you will read about:
DATA TUBE
Transforming data with dbt | 47 min | Data Engineering | Piotr Tybulewicz | Tybul on Azure
Databricks notebooks aren't the only way to transform your data. In the latest episode of my free DP-203 course, I discuss dbt - a widely used data transformation solution that offers several advantages over Databricks:
? Simplicity and ease of use
? Data lineage
? Automatically generated and maintained documentation
? Data quality tests
? Jinja templating language
In MORE LINKS you will watch:
CONFS EVENTS AND MEETUPS
Coalesce | Las Vegas or Online | 7-10th October
Join Coalesce 2024 with a free online ticket to connect with data practitioners worldwide, hear from expert speakers, and gain new skills in analytics engineering. Network with peers in the dbt Community Slack to foster professional relationships. Get energized about the future of data with fresh ideas, new products, and insights from industry leaders.?
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Adam from the GetInData | Part of Xebia