Sat.Jun 08, 2024 - Fri.Jun 14, 2024

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Data Engineering Projects

Start Data Engineering

1. Introduction 2. Run Data Pipelines 2.1. Run on codespaces 2.2. Run locally 3. Projects 3.1. Projects from least to most complex 3.2. Batch pipelines 3.3. Stream pipelines 3.4. Event-driven pipelines 3.5. LLM RAG pipelines 4. Conclusion 1. Introduction Whether you are new to data engineering or have been in the data field for a few years, one of the most challenging parts of learning new frameworks is setting them up!

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Mosaic AI: Build and deploy production-quality Compound AI Systems

databricks

Over the last year, we have seen a surge of commercial and open-source foundation models showing strong reasoning abilities on general knowledge tasks.

Systems 142
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How Meta trains large language models at scale

Engineering at Meta

As we continue to focus our AI research and development on solving increasingly complex problems, one of the most significant and challenging shifts we’ve experienced is the sheer scale of computation required to train large language models (LLMs). Traditionally, our AI model training has involved a training massive number of models that required a comparatively smaller number of GPUs.

Algorithm 129
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Building Open-Source Python Packages – SparklePop

Confessions of a Data Guy

One of the things I love about Python is its flexibility and huge community, a community that puts out a never-ending stream of useful packages for the average Software Engineer. In a show of solidarity to the open-source community, I thought I would publish a PYPI package that will probably be used by 5 people […] The post Building Open-Source Python Packages – SparklePop appeared first on Confessions of a Data Guy.

Python 100
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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10 GitHub Repositories to Master SQL

KDnuggets

Learn SQL and databases through free courses, tutorials, tools, guides, books, practice exercises, projects, awesome lists, and other resources.

SQL 129
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How FactSet Implemented an Enterprise Generative AI Platform with Databricks and MLflow

databricks

“FactSet’s mission is to empower clients to make data-driven decisions and supercharge their workflows and productivity. To deliver AI-driven solutions across our entire.

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Data Engineering Weekly #175

Data Engineering Weekly

Experience Enterprise-Grade Apache Airflow Astro augments Airflow with enterprise-grade features to enhance productivity, meet scalability and availability demands across your data pipelines, and more. Learn More → Cube Research: Crystallizing Snowflake Summit 2024 We should officially call the first week of June the data engineering week, as two major data companies are running their developer conference.

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Understanding Data Privacy in the Age of AI

KDnuggets

Data privacy has been a long-standing issue that continues to challenge the data industry. Let’s understand how rapid developments in the world of AI have elevated data privacy concerns.

Data 110
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Introducing Databricks LakeFlow: A unified, intelligent solution for data engineering

databricks

Today, we are excited to announce Databricks LakeFlow, a new solution that contains everything you need to build and operate production data pipelines.

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Fueling Enterprise Generative AI with Data: The Cornerstone of Differentiation

Cloudera

More than two-thirds of companies are currently using Generative AI (GenAI) models, such as large language models (LLMs), which can understand and generate human-like text, images, video, music, and even code. However, the true power of these models lies in their ability to adapt to an enterprise’s unique context. By leveraging an organization’s proprietary data, GenAI models can produce highly relevant and customized outputs that align with the business’s specific needs and ob

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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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Maxar’s Precision3D in Esri’s World Elevation 3D and Hillshade Layers

ArcGIS

Maxar's Precision 3D (P3D) DTM's now integrated into Esri's World Elevation 3D and Hillshade Layers, providing accurate and detailed elevation data for your GIS projects.

Project 87
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Step-by-Step Tutorial to Building Your First Machine Learning Model

KDnuggets

Machine Learning model is an exciting project. Learn how to develop your first model that the company would want to use.

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Open Sourcing Unity Catalog

databricks

We are excited to announce that we are open sourcing Unity Catalog, the industry’s first open source catalog for data and AI governance.

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Making an AI Investment: How Finance Institutions are Harnessing the Power of AI and Generative AI

Cloudera

Of all of the emerging tech of the last two decades, artificial intelligence (AI) is tipping the hype scale, causing organizations from all industries to rethink their digital transformation initiatives asking where it fits in. In Financial Services, the projected numbers are staggering. According to a recent McKinsey & Co. article , “The McKinsey Global Institute (MGI) estimates that across the global banking sector, [Generative AI] could add between $200 billion and $340 billion in value a

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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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Top 5 Tips for Styling Published Layers and Maps

ArcGIS

The Living Atlas team publishes a lot of web layers. Here's some of our favorite tips and tricks for customizing your layers and maps.

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Using SQL with Python: SQLAlchemy and Pandas

KDnuggets

A simple tutorial on how to connect to databases, execute SQL queries, and analyze and visualize data.

SQL 137
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Introducing AI/BI: Intelligent Analytics for Real-World Data

databricks

Today, we are excited to announce Databricks AI/BI , a new type of business intelligence product built from the ground up to deeply.

BI 139
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Where Does Data Governance Fit Into Hybrid Cloud?

Cloudera

At a time when artificial intelligence (AI) and tools like generative AI (GenAI) and large language models (LLMs) have exploded in popularity, getting the most out of organizational data is critical to driving business value and carving out a competitive market advantage. To reach that goal, more businesses are turning toward hybrid cloud infrastructure – with data on-premises, in the cloud, or both – as a means to tap into valuable data.

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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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Introducing Build with Confluent: Enabling Partners to Bring Data Streaming Use Cases to Market Faster

Confluent

Build with Confluent helps system integrators develop joint solutions faster, including specialized software bundles, support from data streaming experts to certify offerings, and access to Confluent’s Go-To-Market teams to amplify audience.

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5 Free University Courses to Learn Coding for Data Science

KDnuggets

Learn programming for free from top-tier universities like Harvard and MIT.

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What’s New with Databricks Unity Catalog at Data + AI Summit 2024

databricks

In an era marked by rapid advancements in artificial intelligence and an explosion of data and Gen AI tools, enterprises face fragmented data.

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Setting a Geoprocessing Extent Just Got Better in ArcGIS Pro 3.3

ArcGIS

Sketch an extent on your map and choose between more new features with the Processing Extent control in ArcGIS Pro 3.3!

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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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Next-Gen Customer Loyalty Programs with Data Streaming

Confluent

Use Confluent’s data streaming platform to bring real-time insights to customer loyalty programs, creating personalized offers that drive greater retention and revenue.

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FastAPI Tutorial: Build APIs with Python in Minutes

KDnuggets

Want to build APIs with Python? Learn how to do so using FastAPI with this step-by-step tutorial.

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Announcing General Availability of Predictive Optimization

databricks

We're excited to announce the General Availability of Databricks Predictive Optimization. This capability intelligently optimizes your table data layouts for faster queries and.

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How Wild is the Land?

ArcGIS

Explore the Global Wildland-Urban Interface (WUI) dataset to find out how close you are to areas prone to wildfires. Understand the intermixing of human activity with wildland vegetation.

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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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Robinhood and IVMF Bring Retirement Education to Veteran Entrepreneurs 

Robinhood

Sessions kicked off in Las Vegas on April 29th and Chicago on May 1st Robinhood Markets, Inc. has partnered with Syracuse University’s D’Aniello Institute for Veterans and Military Families (IVMF) to bring retirement education workshops to entrepreneurs across the U.S. We’re honored to partner with an organization helping veterans and veteran family members launch and grow their own businesses.

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Unlocking Data Insights: Key Pandas Functions for Effective Analysis

KDnuggets

This article aims to cover some of the Pandas functions essential for data analysis. You can seamlessly handle missing values, remove duplicates, replace specific values, and perform several other data manipulation tasks by mastering these tools.

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Data Intelligence and AI Trends: Top products, RAG and more

databricks

Generative AI fever shows no signs of cooling off. As pressure and excitement build to execute strong GenAI strategies, data leaders and practitioners.

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Building Change Detection in the Region of Cataluña

ArcGIS

Revolutionizing GIS: Streamlining Change Detection for Mapping Agencies.

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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.