Sat.Oct 05, 2024 - Fri.Oct 11, 2024

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The Death of the Data Warehouse, replaced by the Lake House. Or Has It?

Confessions of a Data Guy

This is an interesting one indeed, it’s one that teases and puzzles the brain to no end. Has the Data Warehouse finally died, has that unruly upstart the Lake House finally taken its place atop the seething mass of data we call home? Can we say that after all these decades the Data Warehouse Toolkit […] The post The Death of the Data Warehouse, replaced by the Lake House.

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Open source business model struggles at WordPress

The Pragmatic Engineer

Automattic, creator of Wordpress, is being sued by one of the largest WordPress hosting providers. The conflict fits into a trend of billion-dollar companies struggling to effectively monetize open source, and are changing tactics to limit their competition and increase their revenue. This article was originally published a week ago, on 3 October 2024, in The Pragmatic Engineer.

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Microsoft’s Drasi: An Open-Source Tool for Efficient Change Management Systems

Analytics Vidhya

Introduction Today, data systems evolve quickly, demanding efficient monitoring and response. Real-time change detection is essential to keeping systems stable, preventing failures, and ensuring business continuity. Microsoft’s open-source tool, Drasi, addresses this need by effortlessly detecting, monitoring, and responding to data changes across platforms, including relational and graph databases.

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Data News — Week 24.40

Christophe Blefari

Back in Paris ( credits ) Hey, hey, hey. I'm so sorry for this small break about the news. I was in middle of starting my new company, nao , and moving back from Berlin to Paris. Still I hope this edition finds you well, it will be a mix of personal news, OpenAI saga and usual data engineering stuff that I enjoy reading. First things first, yes, I'm co-founding a company.

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Changing the Game with MES: Cut Costs, Drive Efficiency, & Achieve Sustainability Goals!

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

In an era where efficiency is king, are you leveraging the right tools to transform your manufacturing processes? A Manufacturing Execution System (MES) is critical for enhancing operational efficiency, reducing waste, and optimizing energy usage—key factors for improving your bottom line and lowering your carbon footprint. Join Nikhil Joshi, a manufacturing technology expert with 18+ years of hands-on experience, in this new webinar as he uncovers the secrets of MES and how to best utilize thes

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Introducing a New Visual Identity Reflecting Robinhood’s Growth and Vision for the Future

Robinhood

When Robinhood was founded, we set out to build a platform that gives everyone access to the financial markets. Over the last decade, we’ve disrupted and changed the industry for the better, becoming the first U.S. retail broker to offer commission-free trading, and saving investors billions in the process. In recent years, we’ve expanded our offering, ushering in a number of new cutting-edge products and services that help everyone – regardless of income – trade, invest, and earn.

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The Long Context RAG Capabilities of OpenAI o1 and Google Gemini

databricks

Retrieval Augmented Generation (RAG) is the top use case for Databricks customers who want to customize AI workflows on their own data. The.

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The Dawn of the AI-Native Data Stack - Part 1

Data Engineering Weekly

The data world is abuzz with speculation about the future of data engineering and the successor to the celebrated modern data stack. While the modern data stack has undeniably revolutionized data management with its cloud-native approach, its complexities and limitations are becoming increasingly apparent. As we grapple with these, another seismic shift is upon us—the rise of Large Language Models (LLMs).

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Case study: How to maintain a statewide mesh for a digital twin?

ArcGIS

The response digital twin to assist disaster management of North Rhine-Westphalia illustrates how to create and maintain 3D mesh data.

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Introducing Databricks Apps

databricks

Summary Databricks Apps, a new way to build and deploy internal data and AI applications, is now available in Public Preview on AWS.

AWS 136
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Claude AI: Unboxing Anthropic’s LLM-based AI Assistant, Artifacts & Use Cases

KDnuggets

Dive into this emerging and powerful LLM-based AI tool for enhancing your business, creative, or daily processes through well-managed conversations.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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Migrating in-place from PostgreSQL to MySQL

Yelp Engineering

The Yelp Reservations service (yelp_res) is the service that powers reservations on Yelp. It was acquired along with Seatme in 2013, and is a Django service and webapp. It powers the reservation backend and logic for Yelp Guest Manager, our iPad app for restaurants, and handles diner and partner flows that create reservations. Along with that, it serves a web UI and backend API for our Yelp Reservations app, which has been superseded by Yelp Guest Manager but is still used by many of our restaur

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Cloudera Lakehouse Optimizer Makes it Easier Than Ever to Deliver High-Performance Iceberg Tables

Cloudera

The open data lakehouse is quickly becoming the standard architecture for unified multifunction analytics on large volumes of data. It combines the flexibility and scalability of data lake storage with the data analytics, data governance, and data management functionality of the data warehouse. Open table formats are a key component of this architecture, as they provide many of the capabilities of traditional data warehousing directly on data lake storage, and Apache Iceberg is quickly becoming

IT 81
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Announcing the General Availability of Databricks Assistant Autocomplete

databricks

Today, we are excited to announce the general availability of Databricks Assistant Autocomplete on all cloud platforms. Assistant Autocomplete provides personalized AI-powered code.

Cloud 94
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Using Hugging Face Transformers with PyTorch and TensorFlow

KDnuggets

With Hugging Face become prominent than ever, learning how to use the Transformers library with popular deep-learning frameworks would improve your career.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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Build and Manage ML features for Production-Grade Pipelines

Snowflake

When scaling data science and ML workloads, organizations frequently encounter challenges in building large, robust production ML pipelines. Common issues include redundant efforts between development and production teams, as well as inconsistencies between the features used in training and those in the serving stack, which can lead to decreased performance.

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Deploy and Scale AI Applications With Cloudera AI Inference Service

Cloudera

We are thrilled to announce the general availability of the Cloudera AI Inference service, powered by NVIDIA NIM microservices , part of the NVIDIA AI Enterprise platform, to accelerate generative AI deployments for enterprises. This service supports a range of optimized AI models, enabling seamless and scalable AI inference. Background The generative AI landscape is evolving at a rapid pace, marked by explosive growth and widespread adoption across industries.

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Enhancing RAG Accuracy: Databricks Ventures Invests in Voyage AI

databricks

We consistently hear from our customers that one of the headwinds to transitioning Generative AI applications from pilot to production is the accuracy.

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Mastering Prompt Engineering in 2024

KDnuggets

Read this overview of prompting techniques, challenges, and best practices to help you master this essential AI skill.

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Building Your BI Strategy: How to Choose a Solution That Scales and Delivers

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

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Data Engineering Weekly #192

Data Engineering Weekly

PyTorch: PyTorch Conference 2024 Recap - On Fire 🔥 PyTorch plays a significant role in the latest development of AI in the industry. The article nicely summarizes the key takeaways from the conference. All the talks are now available on YouTube. If you are new to PyTorch and want to learn, the tutorial from freecodecamp is the best. [link] Medium: Learnings from optimising 22 of our most expensive Snowflake pipelines A blog about real-world learning is always a delight to read.

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What is a Data Pipeline (and 7 Must-Have Features of Modern Data Pipelines)

Striim

A well-executed data pipeline can make or break your company’s ability to leverage real-time insights and stay competitive. Thriving in today’s world requires building modern data pipelines that make moving data and extracting valuable insights quick and simple. Today, we’ll answer the question, “What is a data pipeline?” Then, we’ll explore a data pipeline example and dive deeper into the key differences between a traditional data pipeline vs ETL.

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Announcing GA of Provider Usage Analytics

databricks

We are announcing the General Availability of Provider Usage Analytics for Databricks Marketplace providers. This feature lets you analyze lead generation and product.

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Step-by-Step Guide to Deploying ML Models with Docker

KDnuggets

Tired of fixing the same deployment issues? Learn how Docker can keep your ML models running smoothly, every time.

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Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.

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A 5-Step Incident Management Framework for Enterprise Data Organizations

Monte Carlo

There are a few adages that stand the test of time. “Better late than never.” “Actions speak louder than words.” “Two wrongs don’t make a right.” And, perhaps the most important: “You can’t improve data quality without incident management.” Which leaves a lot of data teams decidedly not improving their data quality—despite their best efforts to the contrary.

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Read White Paper: Data Quality The DataOps Way

DataKitchen

Read Our New White Paper: Data Quality The DataOps Way Data quality isn’t just a technical hurdle—it’s a strategic necessity in the data-driven world. Traditional methods fall short, but the DataOps approach to data quality offers a transformative path forward. It empowers individuals to act swiftly, enables continuous improvement, and fosters collaboration across organizational silos.

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Data Strategy: Why it Matters and How to Build One

databricks

With the pace of modern business and the competitive need for more and more data, organizations now correctly ask whether their data management.

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10 Critical AI Concepts Explained in 5 Minutes

KDnuggets

Acquire a transversal understanding of high-relevance AI jargon in the time it takes to drink a cup of coffee.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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Unlocking Data Value in the Age of AI and Data Streaming

Confluent

Catch all the highlights from Current 2024! Dive into key takeaways, including why a data streaming platform is key to unlocking data value, driving AI innovation, and more.

Data 52
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How to Parallelize Copy Activities in Azure Data Factory

Towards Data Science

Optimizing data transfer for enterprise data lakes Skewed data distribution - image by Vackground.com on Unsplash 1. Introduction Azure Data Factory (ADF) is a popular tool for moving data at scale, particularly in Enterprise Data Lakes. It is commonly used to ingest and transform data, often starting by copying data from on-premises to Azure Storage.

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Healthcare Data Insights Powered by Pentavere and Databricks

databricks

In industries like finance and retail, vast data is leveraged to generate billions in profits. Yet, in healthcare, the struggle to access critical.

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7 Cool Data Science Project Ideas for Beginners

KDnuggets

Are you a data science beginner looking to build your portfolio? Start working on these projects today.

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What Is Entity Resolution? How It Works & Why It Matters

Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Learn what entity resolution is, why it matters, how it works and its benefits. Advanced entity resolution using AI is crucial because it efficiently and easily solves many of today’s data quality and analytics problems.