Sat.Apr 29, 2023 - Fri.May 05, 2023

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The Three P’s of Data Engineering

Elder Research

The post The Three P’s of Data Engineering appeared first on Elder Research.

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Worth reading for data engineers - part 3

Waitingforcode

Welcome to the 3rd part of the series with great streaming and project organization blog posts summaries!

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Bark: The Ultimate Audio Generation Model

KDnuggets

Bark is a versatile audio generation model that supports multi-language, music, voice cloning, and speaker prompts audio generation.

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Re-implementing LangChain in 100 lines of code

Scott Logic

Comments

Coding 144
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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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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

Netflix Tech

Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. Behind the scenes, a myriad of systems and services are involved in orchestrating the product experience.

Utilities 139
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Amazon Kinesis is not Apache Kafka

Waitingforcode

Open Source tools helped me switch to the cloud world a lot. The managed cloud services often share the same fundamentals as their Open alternatives. However, there is always something different. Today I'll focus on these differences for Amazon Kinesis service and Apache Kafka ecosystem.

Kafka 147

More Trending

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Data Modeling – The Unsung Hero of Data Engineering: Modeling Approaches and Techniques (Part 2)

Simon Späti

In case you missed Part 1, An Introduction to Data Modeling, make sure to check first, where we discussed the importance of data modeling in data engineering, the history, and the increasing complexity of data. We have also touched upon the significance of understanding the data landscape, its challenges, and much more. As we delve deeper into this topic, Part 2 will focus on data modeling approaches and techniques.

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Enroll in our New Expert-Led Large Language Models (LLMs) Courses on edX

databricks

Enroll in the introductory course on edX today! The course will begin Summer 2023. New Large Language Model Courses with edX As Large.

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The malware threat landscape: NodeStealer, DuckTail, and more

Engineering at Meta

We’re sharing our latest threat research and technical analysis into persistent malware campaigns targeting businesses across the internet, including threat indicators to help raise our industry’s collective defenses across the internet. These malware families – including Ducktail, NodeStealer and newer malware posing as ChatGPT and other similar tools – targeted people through malicious browser extensions, ads, and various social media platforms with an aim to run unauthorized ads from compromi

Media 119
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Machine Learning with ChatGPT Cheat Sheet

KDnuggets

Have you thought of using ChatGPT to help augment your machine learning tasks? Check out our latest cheat sheet to find out how.

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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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Data Modeling – The Unsung Hero of Data Engineering: Modeling Approaches and Techniques (Part 2)

Simon Späti

In case you missed Part 1, An Introduction to Data Modeling, make sure to check first, where we discussed the importance of data modeling in data engineering, the history, and the increasing complexity of data. We have also touched upon the significance of understanding the data landscape, its challenges, and much more. As we delve deeper into this topic, Part 2 will focus on data modeling approaches and techniques.

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Welcome Okera: Adopting an AI-centric approach to governance

databricks

For a decade, Databricks has focused on democratizing data and AI for organizations around the world. And since the debut of ChatGPT last.

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The 2023 Snowflake Startup Challenge Showdown is Set: Meet the 3 Finalists

Snowflake

A shared source of truth for data teams living in Snowflake. Automated financial and operational ERP insights. AI services for semantic processing of unstructured information. What do these three things have in common? Each is the primary mission of a 2023 Snowflake Startup Challenge finalist! We are pleased to announce that Honeydew, Maxa, and semantha.ai will advance to this year’s Snowflake Startup Challenge finale and face off for the opportunity to receive a share of up to $1 million in inv

Insurance 105
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The Rise of ChatOps/LMOps

KDnuggets

Has there always been a rise in ChatOps and LMOps, or will it happen after the release of ChatGPT and Google Bard?

IT 160
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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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Introducing Confluent Platform 7.4

Confluent

Hardening the innovative feature set introduced in recent releases, Confluent Platform 7.4 enables you to enhance scalability and simplify your architecture, accelerate time to market, and improve data quality.

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Announcing Terraform Databricks modules

databricks

The Databricks Terraform provider reached more than 10 million installations, significantly increasing adoption since it became generally available less than one year ago.

IT 105
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What is the modern data experience?

ThoughtSpot

Business is won or lost based on the quality of the experience you deliver to customers, partners, vendors, and employees. These experiences are built entirely on data. Harnessing data to deliver value is the single most powerful way to engage today’s demanding consumers—not to mention capturing market share and accelerating strategic decision-making.

SQL 105
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HuggingGPT: The Secret Weapon to Solve Complex AI Tasks

KDnuggets

Get ready to discover the next big thing in AI with HuggingGPT. Read this article to develop an understanding of how it works and how it handles complex AI tasks.

IT 150
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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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How Manufacturers Can Derive Deeper Business Insights from SAP Data

Snowflake

Manufacturers face no shortage of challenges in the industry today, but there are also tremendous opportunities to be had. Accelerating and increasing the value of SAP data to meet those challenges is no easy task, but it’s possible with the right solution. In this post we will discuss how some modern manufacturers are deriving deeper insight from their SAP data in order to drive faster, smarter decision-making and unlock new opportunities in the market.

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Strengthening the Lakehouse Governance Ecosystem: Databricks Ventures Invests in Immuta

databricks

Databricks Ventures is excited to announce our investment in Immuta's Series E funding round, marking the latest step in our six-year partnership with.

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Got five minutes? Get to know hexagons

ArcGIS

Why on earth is everyone talking about hexagons?

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KDnuggets News, May 3: Machine Learning with ChatGPT Cheat Sheet • Data Visualization Best Practices & Resources for Effective Communication

KDnuggets

Machine Learning with ChatGPT Cheat Sheet • Data Visualization Best Practices & Resources for Effective Communication • ChatGLM-6B: A Lightweight, Open-Source ChatGPT Alternative • HuggingGPT: The Secret Weapon to Solve Complex AI Tasks • Automate Your Codebase with Promptr and GPT

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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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Data Engineer vs Data Analyst: Key Differences and Similarities

Knowledge Hut

Did you know that data is now an essential component of modern business operations? With companies increasingly relying on data-driven insights to make informed decisions, there has never been a greater need for skilled specialists who can manage and evaluate vast amounts of data. The roles of data analyst and data engineer have emerged as two of the most in-demand professions in today's job market.

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Securing Databricks cluster init scripts

databricks

This blog was co-authored by Elia Florio, Sr. Director of Detection & Response at Databricks and Florian Roth and Marius Bartholdy, security researchers.

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How to Keep Track of Data Versions Using Versatile Data Kit

Towards Data Science

Data Engineering Learn about slow change dimensions (SCD) and how to implement SCD Type 2 in VDK Photo by Joshua Sortino on Unsplash Data is the backbone of any organization, and in today’s fast-paced world, it is crucial to keep track of its versions. As businesses grow and evolve, data undergoes numerous changes that can quickly become overwhelming without a streamlined system.

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HuggingChat Python API: Your No-Cost Alternative

KDnuggets

HuggingChat is a free and open source alternative to commercial chat offerings such as ChatGPT. The unofficial Python API gives you immediate access, without signup, for free.

Python 120
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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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The Modern Data Company Brief

The Modern Data Company

The Modern Data Company Brief The Modern Data Company is radically simplifying data architecture with its paradigm-shifting data operating system, DataOS. We’re replacing overwhelm with composability, reinventing governance, and connecting legacy systems to your newest tools. Find out how DataOS can put you on the fastest path from data to decisions.

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Find what you seek with the new navigation UI

databricks

We are excited to announce that we will be releasing a new UI that will make it easier for you to navigate Databricks.

IT 105
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How To Change Google Sheet Permissions with Python

Towards Data Science

Programmitaclly sharing Google Sheets with specific users using the Python API Continue reading on Towards Data Science »

Python 98
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The Ultimate Open-Source Large Language Model Ecosystem

KDnuggets

GPT4ALL is a project that provides everything you need to work with state-of-the-art open-source large language models.

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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