Sat.Feb 11, 2023 - Fri.Feb 17, 2023

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Join DataHour Sessions With Industry Experts

Analytics Vidhya

Introduction Are you curious about the latest advancements in the data tech industry? Perhaps you’re hoping to advance your career or transition into this field. In that case, we invite you to check out DataHour, a series of webinars led by experts in the field. Through these webinars, you’ll gain hands-on experience, deepen your understanding […] The post Join DataHour Sessions With Industry Experts appeared first on Analytics Vidhya.

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Learn MLOps From These GitHub Repositories

KDnuggets

Kickstart your MLOps career with these curated GitHub repositories.

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What Is Apache Airflow – Data Engineering Consulting

Seattle Data Guy

Apache Airflow is a very popular tool that data engineers rely on. But why? Why do data engineers like Airflow? Also, what does Apache Airflow event do? In this article we will answer questions like: What is Airflow? What is a DAG? Why do people use Apache Airflow? Why we like Airflow? What are… Read more The post What Is Apache Airflow – Data Engineering Consulting appeared first on Seattle Data Guy.

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opam-nix: Nixify Your OCaml Projects

Tweag

opam is a source-based package manager for OCaml. It is the de-facto standard for package management in the OCaml ecosystem. opam’s main package repository contains over 4000 individual packages, on average spanning 7 versions each. Like many other language-specific package managers (e.g. cargo, cabal, etc.), opam performs four main tasks: Download the sources.

Project 145
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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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Unlock Learning in the February DataHour Sessions

Analytics Vidhya

Introduction Are you interested in exploring the latest advancements in the data tech industry? Do you want to enhance your career growth or transition into the field? Look no further! Introducing DataHour – a series of expert-led webinars where you can gain hands-on experience, deepen your understanding and connect with leaders in the field. From […] The post Unlock Learning in the February DataHour Sessions appeared first on Analytics Vidhya.

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Learning Python in Four Weeks: A Roadmap

KDnuggets

Here is a roadmap for learning Python in four weeks, a combination of curated resources and ChatGPT prompts to master the language.

Python 159

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Let The Whole Team Participate In Data With The Quilt Versioned Data Hub

Data Engineering Podcast

Summary Data is a team sport, but it's often difficult for everyone on the team to participate. For a long time the mantra of data tools has been "by developers, for developers", which automatically excludes a large portion of the business members who play a crucial role in the success of any data project. Quilt Data was created as an answer to make it easier for everyone to contribute to the data being used by an organization and collaborate on its application.

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Ace Your Interview with Top 10 Interview Questions on Delta Lake

Analytics Vidhya

Introduction Every data scientist demands an efficient and reliable tool to process this big unstoppable data. Today we discuss one such tool called Delta Lake, which data enthusiasts use to make their data processing pipelines more efficient and reliable. Basically, Delta Lake is an open-source storage layer that lies on top of our existing data […] The post Ace Your Interview with Top 10 Interview Questions on Delta Lake appeared first on Analytics Vidhya.

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Docker for Data Science Cheat Sheet

KDnuggets

Docker is dependency management on steroids, helping to ensure both reproducibility and collaboration, making it an important tool for data science. Our latest cheat sheet serves as a handy Docker reference. Check it out now!

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Dynamic vs. Static Consumer Membership in Apache Kafka

Confluent

There are two main consumer group memberships in Apache Kafka®. Here’s how static and dynamic consumer groups work, how they affect rebalancing, and which to choose for your application.

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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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How To Migrate Your Oracle PL/SQL Code to Databricks Lakehouse Platform

databricks

Oracle is a well-known technology for hosting Enterprise Data Warehouse solutions. However, many customers like Optum and the U.S. Citizenship and Immigration Services.

Coding 122
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Top 5 Interview Questions on Apache Oozie

Analytics Vidhya

Introduction Today we have an abundance of Hadoop jobs that are running in a constant plane, but we can’t schedule these jobs manually, we need some kind of scheduler to handle this flow. Apache Oozie is one such job scheduler that allows users to run, schedule, and manage Hadoop jobs in a distributed environment. Source: […] The post Top 5 Interview Questions on Apache Oozie appeared first on Analytics Vidhya.

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Top Free Resources To Learn ChatGPT

KDnuggets

Learn about ChatGPT through Cheat Sheets, Guides, Books, Tutorials, and Blogs.

Process 126
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Scaling Media Machine Learning at Netflix

Netflix Tech

By Gustavo Carmo , Elliot Chow , Nagendra Kamath , Akshay Modi , Jason Ge , Wenbing Bai , Jackson de Campos , Lingyi Liu , Pablo Delgado , Meenakshi Jindal , Boris Chen , Vi Iyengar , Kelli Griggs , Amir Ziai , Prasanna Padmanabhan , and Hossein Taghavi Figure 1 - Media Machine Learning Infrastructure Introduction In 2007, Netflix started offering streaming alongside its DVD shipping services.

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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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Tips and advice to study for, and pass, the dbt Certification exam

dbt Developer Hub

The new dbt Certification Program has been created by dbt Labs to codify the data development best practices that enable safe, confident, and impactful use of dbt. Taking the Certification allows dbt users to get recognized for the skills they’ve honed, and stand out to organizations seeking dbt expertise. Over the last few months, Montreal Analytics , a full-stack data consultancy servicing organizations across North America, has had over 25 dbt Analytics Engineers become certified, earning the

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Best Practices For Loading and Querying Large Datasets in GCP BigQuery

Analytics Vidhya

Introduction BigQuery is a robust data warehousing and analytics solution that allows businesses to store and query large amounts of data in real time. Its importance lies in its ability to handle big data and provide insights that can inform business decisions. Source: dataedo.com It is designed to handle big data and is ideal for […] The post Best Practices For Loading and Querying Large Datasets in GCP BigQuery appeared first on Analytics Vidhya.

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Hypothesis Testing in Data Science

KDnuggets

Defining a hypothesis allows you to collect data effectively and determine whether it provides enough evidence to support your hypothesis.

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Accelerate your model development with the new MLflow Experiments UI

databricks

MLflow is the premier platform for model development and experimentation. Thousands of data scientists use MLflow Experiment Tracking every day to find the.

Data 115
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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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Explore Antarctica’s topography with the British Antarctic Survey

ArcGIS

Explore the Antarctic's coastline and contours from the British Antarctic Survey that are available in the ArcGIS Living Atlas.

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Lessons in Technical Debt from Southwest Airlines

The Modern Data Company

It was hard to miss Southwest Airlines’ holiday travel fiasco earlier this year. After a winter storm blew through a large swath of the United States, Southwest’s systems and processes had a complete meltdown. It took thousands of canceled flights, many days, and countless disgruntled employees and customers before things got back to normal. While the weather certainly was a catalyst for the mess, it is widely understood that a high level of technical debt within Southwest’s operational systems

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What’s With All the Layoffs in Tech?

KDnuggets

Answering all the questions that you've been asking about the layoffs in the tech industry.

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Announcing General Availability of orchestrating dbt Projects with Databricks Workflows

databricks

We are pleased to announce the General Availability (GA) of support for orchestrating dbt projects in Databricks Workflows. Since the start of Public.

Project 114
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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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Building a cross-platform runtime for AR

Engineering at Meta

Meta’s augmented reality (AR) platform is one of the largest in the world, helping the billions of people on Meta’s apps experience AR every day and giving hundreds of thousands of creators a means to express themselves Meta’s AR tools are unique because they can be used on a wide variety of devices — from mixed reality headsets like Meta Quest Pro to phones, as well as lower-end devices that are much more prevalent in low-connectivity parts of the world.

Building 100
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What is the metrics store

Christophe Blefari

This week dbt Labs announced the intention to acquired Transform. While, you should already be aware about what's dbt, there are still unknowns about what's Transform. Transform is a company that has been founded by ex-Airbnb employees—which is important here—that proposes an open-source metrics framework and a SaaS metrics store.

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5 Genuinely Useful Bash Scripts for Data Science

KDnuggets

In this article, we are going to take a look at five different data science-related scripting-friendly tasks, where we should see how flexible and useful Bash can be.

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Databricks ?? IDEs

databricks

Happy Valentine's Day! Databricks ❤️ Visual Studio Code. On this lovely day, we are thrilled to announce a new and powerful development experience for.

Coding 111
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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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Best ChatGPT Alternatives You Must Try

Edureka

ChatGPT Alternatives ChatGPT has been one of the most revolutionary technologies we have come across recently. But this is not the first conversational AI we have seen. Given in this article called “Best ChatGPT Alternatives You Must Try”, is a list of the best ChatGPT alternatives you can find! 1. Google Bard After ChatGPT took the internet by storm, many users fixated on Google, eagerly anticipating their own AI chatbot.

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Guide to OpenCV and Python-Dynamic Duo of Image Processing

ProjectPro

With its easy-to-use interface and robust features, OpenCV has become the favorite of data scientists and computer vision engineers. Whether you’re looking to track objects in a video stream, build a face recognition system, or edit images creatively, OpenCV Python implementation is the go-to choice for the job. Tighten your seatbelts as we take you on a journey through the fascinating world of computer science with OpenCV Python implementations and show you how to unlock its full potentia

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Simple NLP Pipelines with HuggingFace Transformers

KDnuggets

Transformers by HuggingFace is an all-encompassing library with state-of-the-art pre-trained models and easy-to-use tools.

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Best Practices for Realtime Feature Computation on Databricks

databricks

As Machine Learning usage continues to rise across industries and applications, the sophistication of the Machine Learning pipelines is also increasing. Many of.

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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