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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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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Re-implementing LangChain in 100 lines of code

Scott Logic

Comments

Coding 144
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Apache Airflow® 101 Essential Tips for Beginners

Apache Airflow® is the open-source standard to manage workflows as code. It is a versatile tool used in companies across the world from agile startups to tech giants to flagship enterprises across all industries. Due to its widespread adoption, Airflow knowledge is paramount to success in the field of data engineering.

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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 137

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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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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 117
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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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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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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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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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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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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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What is K-Means Clustering and How Does its Algorithm Work?

KDnuggets

In this article, we’ll cover what K-Means clustering is, how the algorithm works, choosing K, and a brief mention of its applications.

Algorithm 158
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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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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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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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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 149
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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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Apache Airflow® Crash Course: From 0 to Running your Pipeline in the Cloud

With over 30 million monthly downloads, Apache Airflow is the tool of choice for programmatically authoring, scheduling, and monitoring data pipelines. Airflow enables you to define workflows as Python code, allowing for dynamic and scalable pipelines suitable to any use case from ETL/ELT to running ML/AI operations in production. This introductory tutorial provides a crash course for writing and deploying your first Airflow pipeline.

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

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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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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.

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Bootstrapping Uber’s Infrastructure on arm64 with Zig

Uber Engineering

In this blog post we explain how we bootstrapped arm64 infrastructure using a relatively new toolchain in town: zig cc.

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Understanding Caching in Databricks SQL: UI, Result, and Disk Caches

databricks

Caching is an essential technique for improving the performance of data warehouse systems by avoiding the need to recompute or fetch the same.

SQL 105