databricks
OCTOBER 22, 2024
Generative AI holds tremendous promise for how organizations unlock value from their data. However, it also comes with a litany of challenges around.
Cloudera
OCTOBER 23, 2024
In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI. One of the most important innovations in data management is open table formats, specifically Apache Iceberg , which fundamentally transforms the way data teams manage operational metadata in the data lake.
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Confessions of a Data Guy
OCTOBER 24, 2024
There are some things you don’t need until you need them. I ran into that situation recently with needing to process some CSV / Flatfiles on short notice. At first, it appeared to be easy, but then I realized, as usual, there was a little monkey wrench thrown into the middle of it. It is […] The post Skip Lines of CSV files with DuckDB and Polars appeared first on Confessions of a Data Guy.
KDnuggets
OCTOBER 25, 2024
The richness of Python’s ecosystem has one downside: it makes it difficult to decide which libraries are the best for your needs. This article is an attempt to amend this by suggesting ten (and some more, as a bonus) libraries that are an absolute must in data science.
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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
databricks
OCTOBER 24, 2024
The Databricks Product Security team is deeply committed to ensuring the security and integrity of its products, which are built on top of.
Monte Carlo
OCTOBER 25, 2024
“As he lay awake in his Bay Area apartment, the data leader couldn’t shake the feeling that something wasn’t right. He tried to shut his eyes—to force them closed—but the more the data engineer tried, the more convinced he became. Suddenly, a light appeared from the darkness. It was a Slack from the CEO. She was working late. And the data…it couldn’t be…it looked wrong.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
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KDnuggets
OCTOBER 21, 2024
Enhance your NLP skills through a variety of resources, including roadmaps, frameworks, courses, tutorials, example code, and projects.
databricks
OCTOBER 22, 2024
Over the years, organizations have amassed a vast amount of unstructured text data—documents, reports, and emails—but extracting meaningful insights has remained a challenge.
Precisely
OCTOBER 24, 2024
Key Takeaways: Cloud migration enhances agility, cuts operational costs, and helps you stay compliant with evolving regulations. Maintaining data integrity during cloud migration is essential to ensure reliable and high-quality data for better decision-making and future use in advanced applications. Partner with the right providers that offer both technical tools and expertise within your industry and use cases.
Snowflake
OCTOBER 24, 2024
Adtech and martech companies are engaged in a fierce battle for audience attention. Customers are bombarded with thousands of ads and marketing messages every day, and the average attention span is plummeting, so it’s no wonder they tune out — or turn on ad blockers. But it’s not all doom and gloom. The global adtech market is expected to grow at a rate of 22.4% through 2030, and martech’s projected growth rate is 18.5% through 2032.
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.
KDnuggets
OCTOBER 22, 2024
Tired of endless job applications? Discover how AI is transforming the job hunt and helping people land their dream careers with just a single click.
databricks
OCTOBER 24, 2024
Our customers say their biggest challenge in getting Generative AI from pilot to production is the " measurement problem." It's hard to.
Robinhood
OCTOBER 21, 2024
Our competitive rates for UK customers range from 5.2% to 6.25% At Robinhood, we’re empowering our customers with the tools they need to navigate the financial markets. Today, we’re excited to build upon that effort for customers in the UK by announcing the launch of margin investing, with some of the most competitive rates in the industry. Margin investing allows customers to borrow money from Robinhood, leveraging their existing holdings to purchase additional securities in order to expa
Engineering at Meta
OCTOBER 22, 2024
Your contact list is fundamental to the experiences you love and enjoy on WhatsApp. With contacts, you know which of your friends and family are on WhatsApp, you can easily message or call them, and it helps give you context on who is in your groups. But losing your phone could mean losing your contact list as well. Traditionally, WhatsApp has lacked the ability to store your contact list in a way that can be easily and automatically restored in the event you lose it.
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.
KDnuggets
OCTOBER 22, 2024
With the development of AI technologies and tools, the best one can do for their career is stay ahead of the game and continue to upskill.
databricks
OCTOBER 23, 2024
Migrating your data warehouse workloads is one of the most challenging yet essential tasks for any organization. Whether the motivation is the growth.
Snowflake
OCTOBER 23, 2024
Imagine a biotech company successfully integrating AI into its research and development (R&D) processes. Using AI algorithms, users in every division of the company can perform advanced analytics, predictive modeling and simulation studies. These capabilities allow them to quickly identify therapeutic targets, design more efficient clinical trials and enhance drug development.
Towards Data Science
OCTOBER 20, 2024
Strategies for Enhancing Generalizability, Scalability, and Maintainability in Your ETL Pipelines Continue reading on Towards Data Science »
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
KDnuggets
OCTOBER 24, 2024
To help you navigate this complex subject, we’ve compiled five free online courses that will give you a solid foundation in machine learning algorithms.
databricks
OCTOBER 22, 2024
Over the past few months, we’ve been gathering your feedback and focusing on both the quality of Databricks Assistant’s responses and the overall.
Snowflake
OCTOBER 22, 2024
Welcome to Snowflake’s Startup Spotlight, where we ask startup founders about the problems they’re solving, the apps they’re building, and the lessons they’ve learned during their startup journey. In this edition, hear from DataMynd.ai Founder and CEO Chuck Frisbie about how synthetic data is the answer to balancing the need for data privacy with the need for data access, and some of the unexpected benefits of their Snowflake Native App.
Towards Data Science
OCTOBER 25, 2024
How modern trends can be traced back to Conway’s Law Image by the author. (Generated by Midjourney, touched up with Krita) This article was originally posted on my blog [link]. The article was triggered by and riffs on the “Beware of silo specialisation” section of Bernd Wessely’s post Data Architecture: Lessons Learned. It brings together a few trends I am seeing plus my own opinions after twenty years experience working on both sides of the software / data team divide.
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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
KDnuggets
OCTOBER 25, 2024
Using Python to build engaging and interactive applications where users can pass in an input, get and feedback and make use of multimedia elements such as images, videos, and audio.
databricks
OCTOBER 24, 2024
Chatbots are becoming valuable tools for businesses, helping to improve efficiency and support employees. By sifting through troves of company data and.
Snowflake
OCTOBER 22, 2024
Experimentation tools like A/B tests, Geolift incrementality tests and AI model evaluations have become indispensable for product and marketing teams seeking to optimize their initiatives and drive better business outcomes. By systematically comparing two versions of a product feature, marketing asset or user experience, companies can make data-driven decisions that eliminate the guesswork and, ultimately, the risk of costly mistakes.
Engineering at Meta
OCTOBER 25, 2024
At Meta, we’re always looking for ways to enhance the productivity of our engineers and developers. But how exactly do you measure developer productivity? On this episode of the Meta Tech Podcast Pascal Hartig ( @passy ) sits down with Sarita and Moritz , two engineers at Meta who have been working on Diff Authoring Time (DAT) – a method for measuring how long it takes to submit changes to a codebase.
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!
KDnuggets
OCTOBER 23, 2024
This comparison analyzes and compares two salient frameworks for architecting deep learning solutions.
databricks
OCTOBER 22, 2024
Founded in 2017, Logically is a leader in using AI to augment clients’ intelligence capability. By processing and analyzing vast amounts of data.
Confluent
OCTOBER 25, 2024
Proceed further by establishing your own headless data architecture—formalizing a data access layer at the center of your org, accessible by both analytics and operations.
Pinterest Engineering
OCTOBER 23, 2024
Yongjun Zhang; Staff Software Engineer | William Tom; Staff Software Engineer | Sandeep Kumar; Software Engineer | Monarch, Pinterest’s Batch Processing Platform, was initially designed to support Pinterest’s ever-growing number of Apache Spark and MapReduce workloads at scale. During Monarch’s inception in 2016, the most dominant batch processing technology around to build the platform was Apache Hadoop YARN.
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
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