July, 2024

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My Obsidian Note-Taking Workflow

Simon Späti

A Vim-Inspired Approach to Efficient Note Management with Obsidian and Markdown

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The software engineering industry in 2024: what changed, why, and what is next

The Pragmatic Engineer

The past 18 months have seen major change reshape the tech industry. What does it all mean for businesses and dev teams – and what will pragmatic software engineering approaches look like in the future? I tackled these burning questions in my conference talk, “What’s Old is New Again,” which was the keynote of the Craft Conference in May 2024.

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What are the types of data quality checks?

Start Data Engineering

1. Introduction 2. Data Quality(DQ) checks are run as part of your pipeline 2.1. Ensure your consumers don’t get incorrect data with output DQ checks 2.2. Catch upstream issues quickly with input DQ checks 2.3. Waiting a long time to run output DQ checks? Save time & money with mid-pipeline DQ checks. 2.4. Track incoming and outgoing row counts with Audit logs 3.

Data 214
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PyArrow vs Polars (vs DuckDB) for Data Pipelines.

Confessions of a Data Guy

I’ve had something rattling around in the old noggin for a while; it’s just another strange idea that I can’t quite shake out. We all keep hearing about Arrow this and Arrow that … seems every new tool built today for Data Engineering seems to be at least partly based on Arrow’s in-memory format. So, […] The post PyArrow vs Polars (vs DuckDB) for Data Pipelines. appeared first on Confessions of a Data Guy.

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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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How ChatGPT is Changing the Face of Programming

KDnuggets

Empowering Developers and Transforming Programming Practices

More Trending

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Introducing Apache Kafka® 3.8

Confluent

Apache Kafka 3.8 adds 17 new KIPs (13 for Core, 3 for Streams & 1 for Connect). Highlights include 2 new Docker images, the ability to set task assignors, and more!

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Snowflake Admins Can Now Enforce Mandatory MFA

Snowflake

Snowflake is committed to helping customers protect their accounts and data. That’s why we have been working on product capabilities that allow Snowflake admins to make multifactor authentication (MFA) mandatory and monitor compliance with this new policy. As part of that effort, today we’re announcing several key features: 1. A new authentication policy that requires MFA for all users in a Snowflake account 2.

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How to implement data quality checks with greatexpectations

Start Data Engineering

1. Introduction 2. Project overview 3. Check your data before making it available to end-users; Write-Audit-Publish(WAP) pattern 4. TL;DR: How the greatexpectations library works 4.1. greatexpectations quick setup 5. From an implementation perspective, there are four types of tests 5.1. Running checks on one dataset 5.2. Checks involving the current dataset and its historical data 5.3.

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DAIS 2024: Testing framework from the Dataflow model for Apache Spark Structured Streaming

Waitingforcode

With this blog I'm starting a follow-up series for my Data+AI Summit 2024 talk. I missed this family of blog posts a lot as the previous DAIS with me as speaker was 4 years ago! As previously, this time too I'll be writing several blog posts that should help you remember the talk and also cover some of the topics left aside because of the time constraints.

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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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Landing a Data Engineer Role: Free Courses and Certifications

KDnuggets

Is it possible to learn data engineering for free? I claim it is and present the evidence for that in the form of 10 free data engineering courses.

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Enhancing LLM-as-a-Judge with Grading Notes

databricks

Evaluating long-form LLM outputs quickly and accurately is critical for rapid AI development. As a result, many developers wish to deploy LLM-as-judge methods.

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Data News — Week 24.28

Christophe Blefari

EuroSeagull ( credits ) Dear members, it's been a few weeks since I did not catch you on a proper Data News with a collection of links. Here we are. This week, I attended EuroPython in Prague. While I spent most of my time at the dltHub booth in the sponsors hall, I didn't attend many talks. However, I did give a few presentations on my SQL orchestration library, yato , which pairs well with dlt.

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9 Habits Of Effective Data Managers – Running A Data Team

Seattle Data Guy

Running a successful data team is hard. Data teams are expected to juggle a combination of ad-hoc requests, big bet projects, migrations, etc. All while keeping up with the latest changes in technology. In the past few years I have gotten to work with dozens of teams and see how various directors and managers deal… Read more The post 9 Habits Of Effective Data Managers – Running A Data Team appeared first on Seattle Data Guy.

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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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SQL or Python for Data Transformations?

Start Data Engineering

1. Introduction 2. Code is an interface to the execution engine 3. How to choose the execution engine and the coding interface 3.1. Chose execution engine based on your workload 3.1.1. Types of execution engine 3.1.2. Criteria to chose your execution engine 3.2. Chose coding interface for people who will maintain the pipeline 3.2.1. Types of coding interfaces 3.2.2.

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Data+AI Summit 2024 - Retrospective - Streaming

Waitingforcode

Welcome to the first Data+AI Summit 2024 retrospective blog post. I'm opening the series with the topic close to my heart at the moment, stream processing!

Data 130
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5 Tools Every Data Scientist Needs in Their Toolbox in 2024

KDnuggets

From the soft tools to the hard tools, these are what make a data scientist successful.

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Announcing Mosaic AI Agent Framework and Agent Evaluation

databricks

Databricks announced the public preview of Mosaic AI Agent Framework & Agent Evaluation alongside our Generative AI Cookbook at the Data + AI.

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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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Snowflake Cortex Search: State-of-the-Art Hybrid Search for RAG Applications

Snowflake

Snowflake Cortex Search, a fully managed search service for documents and other unstructured data, is now in public preview. With Cortex Search, organizations can effortlessly deploy retrieval-augmented generation (RAG) applications with Snowflake, powering use cases like customer service, financial research and sales chatbots. Cortex Search offers state-of-the-art semantic and lexical search over your text data in Snowflake behind an intuitive user interface, and it comes with the robust securi

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How to make a “peeled edge” area of interest effect in ArcGIS Pro

ArcGIS

Catch eyes and imaginations with this fun technique that draws attention to your area of interest with a bit of style!

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New with Confluent Platform: Enhanced security with OAuth Support, Confluent Platform for Apache Flink® (LA), a new Connector, and More

Confluent

Confluent Platform 7.

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AI Lab: The secrets to keeping machine learning engineers moving fast

Engineering at Meta

The key to developer velocity across AI lies in minimizing time to first batch (TTFB) for machine learning (ML) engineers. AI Lab is a pre-production framework used internally at Meta. It allows us to continuously A/B test common ML workflows – enabling proactive improvements and automatically preventing regressions on TTFB. AI Lab prevents TTFB regressions whilst enabling experimentation to develop improvements.

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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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Tools Every Data Scientist Should Know: A Practical Guide

KDnuggets

Discover the essential tools every data scientist should know to elevate their data science game, from Python and R to SQL and advanced visualization tools.

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Introducing Mosaic AI Model Training for Fine-Tuning GenAI Models

databricks

Today, we're thrilled to announce that Mosaic AI Model Training's support for fine-tuning GenAI models is now available in Public Preview. At Databricks.

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Data Engineering Weekly #181

Data Engineering Weekly

Editor’s Note: A New Series on Data Engineering Tools Evaluation There are plenty of data tools and vendors in the industry. But how can we choose a tool for the specific need? The traditional evaluation of running PoC on all the selected vendor tools is time-consuming and practically unviable for growth-driven companies. Data Engineering Weekly is launching a new series on software evaluation focused on data engineering to better guide data engineering leaders in evaluating data tools.

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Create a Digital Twin in Seven Days with ArcGIS

ArcGIS

Creation of a Digital Twin in Seven Days with ArcGIS in Zurich

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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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The Abstractions Are Making You Dumb (rise of the Shallow Expert)

Confessions of a Data Guy

When I was young and full of myself, writing Perl and PHP, while your ma was still reading you a bedtime story and giving you a stuffy to fall asleep with, I had to program uphill, both ways, in the rain and snow. Not like you milk toast Data Engineers clickty clicking around Databricks and […] The post The Abstractions Are Making You Dumb (rise of the Shallow Expert) appeared first on Confessions of a Data Guy.

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Meta’s approach to machine learning prediction robustness

Engineering at Meta

Meta’s advertising business leverages large-scale machine learning (ML) recommendation models that power millions of ads recommendations per second across Meta’s family of apps. Maintaining reliability of these ML systems helps ensure the highest level of service and uninterrupted benefit delivery to our users and advertisers. To minimize disruptions and ensure our ML systems are intrinsically resilient, we have built a comprehensive set of prediction robustness solutions that ensure stability w

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Bayesian Thinking in Modern Data Science

KDnuggets

Discover how Bayesian thinking transforms decision-making with its unique approach to updating initial beliefs with new evidence.