Sat.May 25, 2024 - Fri.May 31, 2024

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Building cost effective data pipelines with Python & DuckDB

Start Data Engineering

1. Introduction 2. Project demo 3. TL;DR 4. Building efficient data pipelines with DuckDB 4.1. Use DuckDB to process data, not for multiple users to access data 4.2. Cost calculation: DuckDB + Ephemeral VMs = dirt cheap data processing 4.3. Processing data less than 100GB? Use DuckDB 4.4. Distributed systems are scalable, resilient to failures, & designed for high availability 4.5.

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Building Data Platforms (from scratch)

Confessions of a Data Guy

Of all the duties that Data Engineers take on during the regular humdrum of business and work, it’s usually filled with the same old, same old. Build new pipeline, update pipeline, new data model, fix bug, etc, etc. It’s never-ending. It’s a constant stream of data, new and old, spilling into our Data Warehouses and […] The post Building Data Platforms (from scratch) appeared first on Confessions of a Data Guy.

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Exploring Google’s Latest AI Tools: A Beginner’s Guide

KDnuggets

Check out this beginner's guide to take advantage of Google’s AI tools.

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Introducing the Robinhood Crypto Trading API

Robinhood

Robinhood Crypto customers in the United States can now use our API to view crypto market data, manage portfolios and account information, and place crypto orders programmatically Today, we are excited to announce the Robinhood Crypto trading API , ushering in a new era of convenience, efficiency, and strategy for our most seasoned crypto traders. Robinhood Crypto customers in the United States can use our new trading API to set up advanced and automated trading strategies that allow them to st

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A Guide to Debugging Apache Airflow® DAGs

In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate

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Introducing Salesforce BYOM for Databricks

databricks

Salesforce and Databricks are excited to announce an expanded strategic partnership that delivers a powerful new integration - Salesforce Bring Your Own Model.

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What’s New in ArcGIS Roads and Highways and ArcGIS Pipeline Referencing (May 2024)

ArcGIS

The latest release of ArcGIS Roads and Highways and ArcGIS Pipeline Referencing includes a variety of new and enhanced features.

More Trending

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How To Data Model – Real Life Examples Of How Companies Model Their Data

Seattle Data Guy

How companies data model varies widely. They might say they use Kimball dimensional modeling. However, when you look in their data warehouse the only part you recognize is the word fact and dim. Over the past near decade, I have worked for and with different companies that have used various methods to capture this data.… Read more The post How To Data Model – Real Life Examples Of How Companies Model Their Data appeared first on Seattle Data Guy.

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Infoshare 2024: Stream processing fallacies, part 1

Waitingforcode

Last week I was speaking in Gdansk on the DataMass track at Infoshare. As it often happens, the talk time slot impacted what I wanted to share but maybe it's for good. Otherwise, you wouldn't read stream processing fallacies!

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What’s New from the Geodatabase Team in ArcGIS Pro 3.3

ArcGIS

Here's everything new in ArcGIS Pro 3.3 from the Geodatabase Team.

Data 135
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5 Free Python Courses for Data Science Beginners

KDnuggets

Are you a data science beginner looking to learn Python? Start learning today with these 5 free courses.

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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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Why Data Analysts And Engineers Make Great Consultants

Seattle Data Guy

Many data engineers and analysts don’t realize how valuable the knowledge they have is. They’ve spent hours upon hours learning SQL, Python, how to properly analyze data, build data warehouses, and understand the differences between eight different ETL solutions. Even what they might think is basic knowledge could be worth $10,000 to $100,000+ for a… Read more The post Why Data Analysts And Engineers Make Great Consultants appeared first on Seattle Data Guy.

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Data Migration Strategies For Large Scale Systems

Data Engineering Podcast

Summary Any software system that survives long enough will require some form of migration or evolution. When that system is responsible for the data layer the process becomes more challenging. Sriram Panyam has been involved in several projects that required migration of large volumes of data in high traffic environments. In this episode he shares some of the valuable lessons that he learned about how to make those projects successful.

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Snowflake Ventures Expands Investment in Sigma, Deepening Commitment to Bringing World-Class BI Directly into the AI Data Cloud

Snowflake

We’re excited to announce today that we’re reinforcing our commitment and deepening our partnership with Sigma with an expanded investment from Snowflake Ventures. Sigma is a leading business intelligence and analytics solution that makes it easy for employees to explore live data, create compelling visualizations and collaborate with colleagues. Sigma allows employees to break free of dashboards and build workflows, powered by write-back to Snowflake through their unique Input Tables capability

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Top SQL Queries for Data Scientists

KDnuggets

SQL seems like a data science underdog compared to Python and R. However, it’s far from it. I’ll show you here how you can use it as a data scientist.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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Introduction to the Export Attachments geoprocessing tool

ArcGIS

Learn about the new Export Attachments geoprocessing tool in ArcGIS Pro 3.3 and how it simplifies the process of exporting attachments.

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Social Impact Using Data and AI: Revealing the 2024 Finalists for the Data For Good Award

databricks

The annual Data Team Awards celebrate the critical contributions of data teams to various sectors, spotlighting their role in driving progress and positive.

Data 105
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Snowflake Ventures Increases Investment in Hex, Deepening the Partnership for Collaborative Workspace Capabilities in the Data Cloud  

Snowflake

The AI Data Cloud unlocks the power of data for technical and non-technical users alike, including data analysts, data scientists, data engineers and business users. When employees can collaborate seamlessly to generate new insights, share findings and create efficient workflows, organizations can drive even more efficiency, unlocking value from their data, faster.

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How to Use GPT for Generating Creative Content with Hugging Face Transformers

KDnuggets

Read this concise tutorial to find out how to use GPT to generate creative content with Hugging Face Transformers. No nonsense, just that facts.

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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

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Choose similar colors to map similar things

ArcGIS

Three videos about choosing colors in cartography.

Designing 109
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From Data to Destinations: How Skyscanner Optimizes Traveler Experiences with Databricks Unity Catalog

databricks

This blog is authored by Michael Ewins, Director of Engineering at Skyscanner At Skyscanner , we're more than just a flight search engine.

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Retail Media’s Business Case for Data Clean Rooms Part 1: Your Data Assets and Permissions

Snowflake

It’s hard to have a conversation in adtech today without hearing the words, “retail media.” The retail media wave is in full force, piquing the interest of any company with a strong, first-party relationship with consumers. Companies are now understanding the value of their data and how that data can power a new, high-margin media business. The two-sided network that exists between retailers and their brands turns into a flywheel for growth.

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5 Python Best Practices for Data Science

KDnuggets

Level up your Python skills for data science with these by following these best practices.

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The Ultimate Guide to Apache Airflow DAGS

With Airflow being the open-source standard for workflow orchestration, knowing how to write Airflow DAGs has become an essential skill for every data engineer. This eBook provides a comprehensive overview of DAG writing features with plenty of example code. You’ll learn how to: Understand the building blocks DAGs, combine them in complex pipelines, and schedule your DAG to run exactly when you want it to Write DAGs that adapt to your data at runtime and set up alerts and notifications Scale you

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ArcGIS Pro Virtualization Hardware and VM Profiles

ArcGIS

ArcGIS Pro virtualization server hardware and VM profiles for the best user experience.

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Delta Sharing and The Emergence of the Lakehouse Customer Data Platform (CDP)

databricks

Special thanks to Caleb Benningfield and Sam Malissa at Amperity for their valuable insights and contributions to this blog. Today, businesses face a.

Data 101
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Retail Media’s Business Case for Data Clean Rooms Part 2: Commercial Models

Snowflake

In Part 1 of “Retail Media’s Business Case for Data Clean Rooms,” we discussed how to (1) assess your data assets and (2) define your data structures and permissions. Once you have a plan on paper, you can begin sizing the data clean room opportunity for your business. Step 3: Commercial Models to Unlock Revenue at Scale Modeling the business value comes down to two things: (1) What data are you making accessible; and (2) How many partners are you willing (and able) to engage?

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Google Have Just Dropped a New Course: AI Essentials

KDnuggets

A course that helps career switchers and advancers harness the power of AI to transform the way they work.

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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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Robinhood Announces $1 Billion Share Repurchase Program

Robinhood

The board of directors of Robinhood Markets, Inc. (“Robinhood”) (NASDAQ: HOOD) has authorized a $1 billion share repurchase program, demonstrating management and the board’s confidence in Robinhood’s financial strength and future growth prospects. “As our business and cash flow have continued to grow, we’re excited to announce a $1 billion share repurchase program to return value to shareholders,” said Jason Warnick, Chief Financial Officer of Robinhood.

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Orchestrating a Dynamic Time-series Pipeline with Azure Data Factory and Databricks

Towards Data Science

Explore how to build, trigger and parameterize a time-series data pipeline in Azure, accompanied by a step-by-step tutorial Continue reading on Towards Data Science »

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Latest Computer Science Research Topics for 2024

Knowledge Hut

Everybody sees a dream—aspiring to become a doctor, astronaut, or anything that fits your imagination. If you were someone who had a keen interest in looking for answers and knowing the “why” behind things, you might be a good fit for research. Further, if this interest revolved around computers and tech, you would be an excellent computer researcher!

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Navigating Your Data Science Career: From Learning to Earning

KDnuggets

Is earning worth learning in today’s data science landscape? Short answer: yes. The long answer calls for an article.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m