Sat.Oct 14, 2023 - Fri.Oct 20, 2023

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dbt multi-project collaboration

Christophe Blefari

cross-project dependencies ( credits ) Over the last few years, dbt has become a de facto standard enabling companies to collaborate easily on data transformations. With dbt, you can apply software engineering practices to SQL development. Managing your SQL patrimony has never been easier. So, yes, dbt is cool but there is a common pattern with it: you accumulate SQL queries.

Project 264
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Reducing The Barrier To Entry For Building Stream Processing Applications With Decodable

Data Engineering Podcast

Summary Building streaming applications has gotten substantially easier over the past several years. Despite this, it is still operationally challenging to deploy and maintain your own stream processing infrastructure. Decodable was built with a mission of eliminating all of the painful aspects of developing and deploying stream processing systems for engineering teams.

Process 182
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5 Free Books to Master Data Science

KDnuggets

Want to break into data science? Check this list of free books for learning Python, statistics, linear algebra, machine learning and deep learning.

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The State of WebAssembly 2023 by Colin Eberhardt

Scott Logic

The State of WebAssembly 2023 survey has closed, the results are in … and they are fascinating! If you want the TL;DR; here are the highlights: Rust and JavaScript usage is continuing to increase, but some more notable changes are happening a little further down - with both Swift and Zig seeing a significant increase in adoption. When it comes to which languages developers ‘desire’, with Zig, Kotlin and C# we see that desirability exceeds current usage WebAssembly is still most often used for we

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Apache Airflow® Best Practices for ETL and ELT Pipelines

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

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Prepare your data for the National Spatial Reference System modernization of 2022 in the U.S.

ArcGIS

The new U.S. datums of 2022 will soon be released. This article covers what is coming and how you should prepare your data.

Systems 141
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Data News — Week 23.42

Christophe Blefari

Writing about dbt like a sheep ( credits ) Hey, this week Coalesce—the dbt Labs annual conference—took place. During 3 days, people shared how they used dbt around the world. I'll, as usual, write a takeaway post after binge watching all keynotes, but this is for next week. Still dbt Labs announcements were mainly towards dbt Cloud with great features to drive adoption of the paid product.

More Trending

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How to use Airflow templates and macros

Marc Lamberti

Templates and Macros in Apache Airflow allow passing data to your DAGs at runtime. Imagine that you want to execute an SQL request with the execution date of your DAG. How can you do that? How can you use the DAG ID when you send notifications to know which DAG to look at? Or what if you need to know when the next DAG run will be? Well, macros and templates answer these questions.

SQL 130
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Simplifying Production MLOps with Lakehouse AI

databricks

Machine learning (ML) is more than just developing models; it's about bringing them to life in real-world, production systems. But transitioning from prototype.

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Watermark and input data filtering in Apache Spark Structured Streaming

Waitingforcode

I've already written about watermarks in a few places in the blog but despite that, I still find things to refresh. One of them is the watermark used to filter out the late data, which will be the topic of this blog post.

Data 130
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7 Steps to Mastering Large Language Models (LLMs)

KDnuggets

Large Language Models (LLMs) have unlocked a new era in natural language processing. So why not learn more about them? Go from learning what large language models are to building and deploying LLM apps in 7 easy steps with this guide.

Building 153
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Apache Airflow®: The Ultimate Guide to 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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Data News — Airflow Summit 2023 takeaways

Christophe Blefari

( credits ) Hello, dear Data News reader, I hope you'll enjoy this new edition. It's amazing how quickly time flies and this summer I passed the 3-year mark since I started my freelance adventure. I'm so happy with what it's brought me. But I've got this internal alarm that goes off every 3 years asking me for new things. It's time for me to search for my future paths.

Python 130
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Sounds Like a Better Plan: USA Transportation Noise, Revised and Updated

ArcGIS

The Living Atlas of the World just updated the tiled, hosted image service featuring transportation noise, from the USDOT.

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LLM Training on Unity Catalog data with MosaicML Streaming Dataset

databricks

Introduction Large Language Models (LLMs) have given us a way to generate text, extract information, and identify patterns in industries from healthcare to.

Datasets 123
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ChatGPT vs. BARD

KDnuggets

Large language models (LLMs) are transforming the way we process and produce information. But, before considering either one of these models as a one-stop-solution, one must consider their key differences.

Process 152
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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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Automating product deprecation

Engineering at Meta

Systematic Code and Asset Removal Framework (SCARF) is Meta’s unused code and data deletion framework. SCARF guides engineers through deprecating a product safely and efficiently via an internal tool. SCARF combines this tooling with automation to reduce load on engineers. At Meta, we are constantly innovating and experimenting by building and shipping many different products, and those products comprise thousands of individual features.

Coding 123
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Automating Reality Mapping: Accelerate Your Drone Workflows with ArcGIS Reality for ArcGIS Pro

ArcGIS

Streamline GIS workflows with ArcGIS Reality for ArcGIS Pro. Automate reality mapping, generate accurate geospatial products.

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How DoorDash Standardized and Improved Microservices Caching

DoorDash Engineering

As DoorDash’s microservices architecture has grown, so too has the volume of interservice traffic. Each team manages their own data and exposes access through gRPC services, an open-source remote procedure call framework used to build scalable APIs. Most business logic is I/O-bound because of calls to downstream services. Caching has long been a go-to strategy to improve performance and reduce costs.

Database 121
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The Generative AI Bubble Will Burst Soon

KDnuggets

Due to unsustainable hype, unrealistic valuations, limitations of current technology, and unproven business models.

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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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Revolutionizing Real-Time Streaming Processing: 4 Trillion Events Daily at LinkedIn

LinkedIn Engineering

Authors: Bingfeng Xia and Xinyu Liu Background At LinkedIn, Apache Beam plays a pivotal role in stream processing infrastructures that process over 4 trillion events daily through more than 3,000 pipelines across multiple production data centers. This robust framework empowers near real-time data processing for critical services and platforms, ranging from machine learning and notifications to anti-abuse AI modeling.

Process 119
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How Meta is creating custom silicon for AI

Engineering at Meta

With the recent launches of MTIA v1 , Meta’s first-generation AI inference accelerator, and Llama 2 , the next generation of Meta’s publicly available large language model, it’s clear that Meta is focused on advancing AI for a more connected world. Fueling the success of these products are world-class infrastructure teams, including Meta’s custom AI silicon team, led by Olivia Wu, a leader in the silicon industry for 30 years.

Designing 115
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Announcing Public Preview of AI Generated Documentation In Databricks Unity Catalog

databricks

Today, we are excited to announce the public preview of AI generated documentation in Databricks Unity Catalog. This feature leverages generative AI to.

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Introduction to Databases with SQL: Free Harvard Course

KDnuggets

Want to learn SQL the Harvard way? Start learning today with CS50 SQL, a free course on databases with SQL from Harvard.

SQL 149
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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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The benefits of modern data architecture

InData Labs

Big data is central to the efficient running of all modern organizations, but to be of use, raw data must be suitably organized. The way that businesses organize data assets is commonly known as data architecture, with the benefits of modern data architecture enabling teams to respond to changing demands with improved agility when compared. Запись The benefits of modern data architecture впервые появилась InData Labs.

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Bring Your Own Algorithm to Anomaly Detection

Pinterest Engineering

Charles Wu | Software Engineer; Isabel Tallam | Software Engineer; Kapil Bajaj | Engineering Manager Overview In this blog, we present a pragmatic way of integrating analytics, written in Python, with our distributed anomaly detection platform, written in Java. The approach here could be generalized to integrate processing done in one language/paradigm into a platform in another language/paradigm.

Algorithm 104
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How the Lakehouse can optimize provider networks and improve member care

databricks

Check out our Nearest Neighborhood Search Solution Accelerator to get started quickly. The Member Experience An insured member typically experiences their healthcare in.

Insurance 105
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3 Ways to Make Money with ChatGPT and AI

KDnuggets

Follow these simple steps to multiply your income with generative AI.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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JSON Schemas to Nickel contracts

Tweag

At Tweag we have been cooking up a JSON Schema to Nickel contract converter , that we’re excited to announce! Background Nickel is a configuration language being developed at Tweag. You can get some deep dives into its design from previous blog posts. I’ll summarize it here as JSON, plus functions, plus types and contracts. One of its main use-cases is generating JSON configurations for other programs (Terraform, GitHub actions, etc).

Coding 103
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Analysis of the XLS-30 AMM Amendment

Ripple Engineering

RippleX has enabled its validator to vote in support of the XLS-30 amendment, introducing innovative AMM capabilities to the XRPL. We, at RippleX, place great emphasis on the strength that collaborative effort and shared responsibility bring to the enhancement and security of the XRPL. Today, we earnestly request the community's consideration of the XLS-30 amendment —a proposal poised to offer numerous advantages by bolstering liquidity, offering yield opportunities for liquidity pro

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Fastest way to get SAP HANA data into Databricks using SAP FedML

databricks

SAP's recent announcement of a strategic partnership with Databricks has generated significant excitement among SAP customers. Databricks, the data and AI experts, presents.

Data 105
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Mastering the Art of Data Cleaning in Python

KDnuggets

How to clean your data in Python and make it ready for use in a data science project.

Python 149
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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.