Mon.Oct 02, 2023

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Airflow Variables: The Ultimate Guide

Marc Lamberti

Airflow Variables are easy to use but easy to misuse as well. In this tutorial, you will learn everything you need about variables in Apache Airflow. What are they, how do they work, define one, get the value, and more. If you followed my course “Apache Airflow: The Hands-On Guide” variables shouldn’t sound unfamiliar. This time, I will give you all I know about variables so that, in the end, you will be ready to use Variables in your DAGs properly.

AWS 130
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The Quest for Model Confidence: Can You Trust a Black Box?

KDnuggets

This article explores strategies for evaluating the reliability of labels generated by Large Language Models (LLMs). It discusses the effectiveness of different approaches and offers practical insights for various applications.

IT 117
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Airflow Variables: The Ultimate Guide

Marc Lamberti

Airflow Variables are easy to use but easy to misuse as well. In this tutorial, you will learn everything you need about variables in Apache Airflow. What are they, how do they work, define one, get the value, and more. If you followed my course “Apache Airflow: The Hands-On Guide” variables shouldn’t sound unfamiliar. This time, I will give you all I know about variables so that, in the end, you will be ready to use Variables in your DAGs properly.

AWS 130
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Parallel Processing in Prompt Engineering: The Skeleton-of-Thought Technique

KDnuggets

Explore how the Skeleton-of-Thought prompt engineering technique enhances generative AI by reducing latency, offering structured output, and optimizing projects.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Cracking the Code: How Databricks is Reshaping Major League Baseball with Biomechanics Data

databricks

Biomechanical data has emerged as a game-changing factor for Major League Baseball (MLB) teams, offering a competitive edge in enhancing player performance and.

Coding 93
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Pinternship Wrap-Up: Summer 2023

Pinterest Engineering

Each summer, Pinterest welcomes Software Engineering Pinterns who spend 12 weeks with us creating impact within our product and teams. While Pinterns are fully immersed in their teams throughout the summer, they also get to attend exciting activities and events hosted by the University Recruiting team and within the company. Here’s a quick recap from this summer: Social events were a hit with boba tea making, creating your own vision board, chocolate making and a virtual escape room.

More Trending

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How DTCC Achieves Data Resiliency with Snowflake’s Snowgrid Technology and AWS

Snowflake

Business continuity remains a top priority for global companies, given that disruptions caused by natural disasters, regional network and power outages, cyberattacks and breaches, and user error (just to name a few) are not an if but a when. The case for business continuity is particularly compelling for a company such as The Depository Trust & Clearing Corporation (DTCC) , which is designated as a systemically important financial market utility (SIFMU), a U.S.

AWS 80
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How an EV Manufacturer Drives Operational Efficiency With Real-Time Streaming

Confluent

See how an EV manufacturer unlocks real-time operational analytics and drives increased efficiency by building a data mesh architecture on Confluent.

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Automating SAP® Processes: 5 Top Trends

Precisely

Manual, error-prone SAP data processes simply don’t cut it anymore. Companies that realize this and make changes at scale will be the ones that remain adaptable and competitive, and ultimately achieve digital transformation. What does that change look like? Automation. Automating the processes that create and maintain the vast amounts of interdependent data that support your SAP ERP business processes is key to gaining agility, speed, and improved data quality and integrity.

Process 64
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Want to Become a Data Scientist? Part 2: 10 Soft Skills You Need

KDnuggets

A quick 10-step soft skill guide on what you need to become a Data Scientist.

Data 95
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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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How Data Streaming Powers an AI Platform for When You Can’t Afford to Be Wrong

Confluent

See how Elemental Cognition uses artificial intelligence and real-time data streaming to accelerate solutions to complex problems.

Data 76
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Automate Graphic Design Activity with ChatGPT Canva Plugin

KDnuggets

Minimize your time to develop the design you need.

Designing 105
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The hybrids are coming: A survival guide by Kira Clark

Scott Logic

Recently, I got to thinking about the different roles of developer and tester and how on projects there is sometimes a line dividing the two. Being a developer turned tester myself, I then thought about how my skills transferred across and vice versa. What can be gained from becoming a hybrid? How does it help you? How does it help the team? This blog is a list of reasons why being a dev-test hybrid (the term I have coined, not official) might help you and your team, so let’s begin. 1, Communica

Coding 52
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Retail Media Networks Decoded

Mutt Data

Retail Media Networks - Part II In our previous post , we discussed how Retail Media Networks (RMNs) benefit both retailers looking for additional monetization channels and advertisers aiming for improved product placement. Now, we delve into the challenges of building such networks. Getting Started So, you want to use a Retail Media Network to publish ads, how do I start?

Media 40
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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Data Teams and Their Types of Data Journeys

DataKitchen

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. This comprehensive article delves into the complexities encountered by various types of data teams—Data Ingestion Teams, End-to-End Data Product Teams, and Enterprise Data Enablement Teams—to name a few.

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Retail Media Networks Decoded

Mutt Data

Retail Media Networks - Part II In our previous post , we discussed how Retail Media Networks (RMNs) benefit both retailers looking for additional monetization channels and advertisers aiming for improved product placement. Now, we delve into the challenges of building such networks. Getting Started So, you want to use a Retail Media Network to publish ads, how do I start?

Media 40
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Building a Customer 360 in the Snowflake Data Cloud with RudderStack 

Snowflake

Today’s consumer expects a personalized, relevant, end-to-end customer experience. Delivering this level of engagement can drive transformational growth, but it requires a new level of sophistication and a deep understanding of the customer. Data fuels that understanding, and the holy grail for companies is to achieve a holistic view of the customer and their journey.

Cloud 90
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How Abacus Medicine Built a Modern Data and AI Stack with Databricks and Monte Carlo

Monte Carlo

Copenhagen-based Abacus Medicine is working to make medicine more affordable and accessible for patients while saving costs for healthcare systems. The global pharmaceutical company buys and sells prescription pharmaceuticals across borders throughout the European Union — which involves complex data sourcing, handling, and quality assurance. In addition to the trading activities, Abacus provides pharmaceutical services helping in particular smaller and mid-sized companies commercialise their pro

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Open Source Data Observability Tools: When Free Isn’t Always Better

Monte Carlo

Open source software is a democratizing force, lowering the barrier to entry for those looking to take advantage of and contribute to software. The data world has certainly benefited tremendously from open source solutions like Spark, dbt, and Airflow, but when it comes to data quality, it’s important to assess the pros and cons of open source data observability tools.