My Obsidian Note-Taking Workflow
Simon Späti
JULY 28, 2024
A Vim-Inspired Approach to Efficient Note Management with Obsidian and Markdown
Simon Späti
JULY 28, 2024
A Vim-Inspired Approach to Efficient Note Management with Obsidian and Markdown
The Pragmatic Engineer
JULY 15, 2024
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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Start Data Engineering
JULY 16, 2024
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.
Confessions of a Data Guy
JULY 24, 2024
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® 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.
KDnuggets
JULY 16, 2024
Empowering Developers and Transforming Programming Practices
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Confluent
JULY 29, 2024
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!
Snowflake
JULY 9, 2024
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.
Start Data Engineering
JULY 26, 2024
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.
Waitingforcode
JULY 16, 2024
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.
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!
KDnuggets
JULY 15, 2024
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.
databricks
JULY 22, 2024
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.
Christophe Blefari
JULY 13, 2024
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.
Seattle Data Guy
JULY 2, 2024
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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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.
Start Data Engineering
JULY 1, 2024
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.
Waitingforcode
JULY 10, 2024
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!
KDnuggets
JULY 24, 2024
From the soft tools to the hard tools, these are what make a data scientist successful.
databricks
JULY 2, 2024
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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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?
Snowflake
JULY 25, 2024
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
ArcGIS
JULY 31, 2024
Catch eyes and imaginations with this fun technique that draws attention to your area of interest with a bit of style!
Confluent
JULY 30, 2024
Confluent Platform 7.
Engineering at Meta
JULY 16, 2024
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.
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.
KDnuggets
JULY 12, 2024
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.
databricks
JULY 22, 2024
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.
Data Engineering Weekly
JULY 21, 2024
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.
ArcGIS
JULY 12, 2024
Creation of a Digital Twin in Seven Days with ArcGIS in Zurich
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.
Confessions of a Data Guy
JULY 9, 2024
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.
Engineering at Meta
JULY 10, 2024
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
KDnuggets
JULY 26, 2024
Discover how Bayesian thinking transforms decision-making with its unique approach to updating initial beliefs with new evidence.
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